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Building Entrepreneurial Competence among Emerging Entrepreneurs in Tunisia: Implications for Direct Selling Readiness

By Dr. Christos Kelepouris and Chaima Kharrat

Implications

  • For Educators: Integrate applied modules on branding, storytelling, systems thinking, and ethical marketing into entrepreneurship curricula to prepare learners for direct selling and related entrepreneurial pathways.
  • For Industry Practitioners: Collaborate with educators to deliver targeted micro-training that builds trust-based, digitally competent, and consumer-centered sales networks.
  • For Policymakers: Recognize entrepreneurial education as a lever for workforce upskilling, inclusive economic participation, and small-enterprise scalability within evolving labor market structures.

Abstract

This study examines how targeted entrepreneurial education can develop competencies foundational to ethical and effective direct selling readiness among early-stage entrepreneurs in an emerging market context. A single intensive workshop was conducted in Tunisia focusing on entrepreneurial mindset, creativity, motivation and self-efficacy, branding and self-branding, and standardization and growth readiness. A pre/post survey (n = 27) revealed statistically significant gains across all five domains, with particularly large effects for branding (d = 1.24) and standardization/growth readiness (d = 1.21). Beyond direct selling scholarship, the findings speak to broader conversations on the future of work and workforce upskilling, where non-traditional, digitally enabled entrepreneurial pathways are increasingly salient. The results suggest that entrepreneurial education can intentionally cultivate transferable competencies that support ethical, consumer-centered engagement rather than transactional selling, contributing to sustainable participation in direct selling and direct-to-consumer ecosystems.

Introduction

Direct selling occupies a distinctive position in the global entrepreneurial landscape, offering a flexible and relationship-based pathway into commerce through personal networks and, increasingly, digital and social platforms. The model has proven particularly relevant in contexts where access to formal employment or startup capital is constrained, positioning direct selling as both an earning opportunity and an experiential learning environment for entrepreneurship (Peterson et al., 2019). Recent research highlights that microentrepreneurs now operate in hybrid environments where social commerce, e-commerce, and direct selling converge, amplifying the importance of trust, personal branding, and digital fluency (DSEF & Ipsos, 2025).

Beyond the direct selling literature, entrepreneurship education has become central to policy and scholarly discussions on the future of work and workforce upskilling. As labor markets grow more volatile and linear career pathways become less common, younger cohorts increasingly pursue flexible, self-directed, and portfolio-based forms of work. Practitioner commentary on Generation Z’s growing engagement with direct selling highlights its accessibility, digital orientation, and alignment with preferences for autonomy, purpose, and income diversification (Entrepreneur, 2025). At the policy level, discussions among U.S. lawmakers, researchers, and industry stakeholders have similarly framed direct selling as part of an evolving labor ecosystem that complements traditional employment by enabling entrepreneurial participation outside conventional organizational structures (Amway, 2024). Within this context, entrepreneurship education may serve as a critical upskilling mechanism, equipping individuals with transferable competencies, such as self-efficacy, adaptability, and consumer-centered communication, that are increasingly valuable across emerging forms of work.

While prior scholarship has examined training and performance within established direct selling organizations, limited research explores how aspiring entrepreneurs develop the psychological and practical competencies that precede formal entry into direct selling or direct-to-consumer activity. This paper addresses that gap through fieldwork conducted in Tunis, Tunisia, as part of a Fulbright Specialist assignment. Tunisia provides a compelling context for this inquiry. Like many emerging markets, it faces persistent youth unemployment and underemployment alongside growing digital connectivity, conditions that heighten the relevance of entrepreneurial and direct selling pathways. Research from other emerging economies demonstrates that direct selling can contribute to economic participation, self-efficacy, and empowerment, particularly among women, suggesting that skills cultivated prior to market entry may have broad personal and societal implications (DSEF, 2018). Situating Tunisia within this broader emerging market landscape allows the present study to generate insights relevant not only locally, but also for emerging markets more broadly and for mature economies such as the United States.

Grounded in theories of entrepreneurial self-efficacy (Bandura, 1997) and effectuation (Sarasvathy, 2001), this study investigates whether a structured entrepreneurial education intervention can enhance competencies associated with direct selling readiness. By focusing on the pre-entry stage of the microentrepreneurial lifecycle, the study extends direct selling research upstream to examine how education may shape not only readiness, but also the orientation with which entrepreneurs engage markets.

Theoretical Foundation and Literature Review

Direct selling has long functioned as a developmental system that teaches sales, leadership, and small business management through experiential learning (Coughlan & Grayson, 1998). Prior research documents that participation in direct selling itself generates a wide range of transferable skills. (Peterson et al., 2019) found that direct selling experience positively influenced fourteen business and professional skills, including communication, goal setting, self-motivation, and customer relationship management, as well as thirteen personal life skills such as confidence, resilience, and time management. More than three-fourths of respondents reported meaningful skill improvement, and self-perceived skill development was positively associated with both direct selling success and perceived performance in non-direct selling employment. Importantly, these findings suggest that the benefits of direct selling extend beyond commercial outcomes, contributing to broader personal development and societal well-being (Peterson et al., 2019).

Theories of entrepreneurial self-efficacy and effectuation help explain why such skill development is consequential. Self-efficacy theory emphasizes that individuals who believe in their capabilities are more resilient, adaptive, and persistent, traits strongly associated with entrepreneurial and selling success (Bandura, 1997). Effectuation theory similarly highlights how entrepreneurs act under uncertainty by leveraging available means, improvisation, and stakeholder relationships (Sarasvathy, 2001), processes that closely mirror direct selling practices. Recent extensions of these theories into digital learning environments demonstrate that structured educational interventions can intentionally strengthen self-efficacy, opportunity confidence, and adaptive decision-making (Rauch & Hulsink, 2021; Kelepouris, 2024).

In emerging market contexts, the developmental role of direct selling may be particularly salient. Research conducted in South Africa documents how direct selling participation supports women’s economic empowerment, social capital formation, and confidence building, especially when combined with digital tools and supportive networks (Direct Selling Education Foundation, 2018). These findings underscore that direct selling’s relevance extends beyond sales performance to broader questions of inclusion, empowerment, and sustainable economic participation, issues central to both emerging markets and evolving labor markets globally.

Methodology

The study was conducted in 2025 and involved training early-stage entrepreneurs, many selling directly to consumers in fashion, handmade goods, and digital services. The workshop covered five core themes aligned with competencies identified in the direct selling literature: entrepreneurial mindset, creativity, motivation/self-efficacy, branding/self-branding, and standardization/growth readiness.

Participants (n = 27; 60% female; ages 20–35) completed a 20-item Likert-scale assessment (1–10) before and after the workshop. The survey measured perceived competency across the five domains using items such as ‘I can clearly explain what makes my business unique’ and ‘I see problems as opportunities to create something new.’ The data was analyzed using paired-sample t-tests and Cohen’s d to assess statistical significance and effect size. Although modest in size, the sample is consistent with other field-based entrepreneurial education studies published in the Journal of Direct Selling Research, and the within-subject design provided sufficient sensitivity to detect meaningful changes across competencies.

Results

All five competency areas showed statistically significant improvement (p < .05). Mean differences ranged from +1.30 to +2.48, with the largest gains in branding/self-branding and standardization/growth readiness (Table 1). Branding & Self-Branding (d = 1.24) reflected participants’ increased ability to articulate value propositions, build trust, and use social media storytelling, key drivers of credibility in direct selling. Standardization & Growth Readiness (d = 1.21) indicated stronger understanding of systems and replication, mirroring principles of sustainable sales team development. Motivation & Self-Efficacy improved significantly (d = 0.63), aligning with Brown et al. (2025), who found that task-specific confidence predicts long-term engagement among microentrepreneurs. Moderate improvements were also observed in entrepreneurial mindset (d = 0.49) and creativity (d = 0.42).

Table 1
Pre/post-test comparison of entrepreneurial competencies showing significant improvement across all domains (p < .05)

Competency Pre Mean Post Mean Mean Diff t p Cohen’s d
Entrepreneurial Mindset 7.38 8.79 +1.41 2.52 .018 0.49
Creativity & Innovation 7.57 8.86 +1.30 2.18 .038 0.42
Motivation & Self-Efficacy 7.20 8.78 +1.58 3.28 .003 0.63
Branding & Self-Branding 6.45 8.82 +2.37 6.46 <.001 1.24
Standardization & Growth 6.33 8.81 +2.48 6.28 <.001 1.21


Discussion

Beyond measurable skill gains, the findings highlight the potential of entrepreneurial education to foster ethical, consumer-centered engagement rather than transactional selling. Improvements in branding, self-efficacy, and growth readiness suggest that participants were better equipped to articulate authentic value propositions, build trust, and engage customers through relationship-oriented practices. This orientation aligns with prior research emphasizing credibility, transparency, and trust as foundations of sustainable direct selling, particularly in digitally mediated environments where reputational signals are highly visible (Marinello, 2025).

Viewed through a future-of-work lens, the competencies strengthened in this study, self-efficacy, adaptability, personal branding, and systems thinking are increasingly transferable across non-traditional employment pathways. Policy and practitioner discourse now recognizes direct selling as one component of a broader labor ecosystem characterized by flexibility, autonomy, and multiple income streams (Entrepreneur, 2025; Amway, 2024). The Tunisian context illustrates how these dynamics play out in emerging markets, where formal employment constraints heighten the importance of entrepreneurial pathways. At the same time, the relevance of these competencies extends to mature economies such as the United States, where similar shifts toward portfolio careers and digitally enabled work are underway.

By situating Tunisia within a broader emerging market framework and linking the findings to established evidence on skill development through direct selling experience (Peterson et al., 2019), this study demonstrates how entrepreneurial education can function as an intentional form of upskilling. Rather than replacing traditional employment, such education may complement evolving labor market structures by preparing individuals to engage ethically and effectively in direct selling and related forms of work.

Conclusion

This study provides empirical evidence that entrepreneurial education can strengthen competencies foundational to direct selling readiness while also shaping how emerging entrepreneurs engage markets. Significant gains in branding, motivation, and growth readiness suggest preparedness not only for participation in direct selling. By examining the pre-entry stage of the microentrepreneurial lifecycle, the research extends direct selling scholarship upstream and contributes to broader conversations on upskilling, emerging markets, and the future of work. For educators, policymakers, and industry practitioners, the findings underscore the value of entrepreneurial education as a mechanism for inclusive and sustainable participation in evolving economic ecosystems.


Dr. Christos Kelepouris is Co-Founder and Executive Director of AEIOU, The Academy of Entrepreneurial Innovation Opportunity and Understanding.

Chaima Kharrat is a business administration student at the International School of Business (ISB) in Sfax, Tunisia.

References

  • Amway. (2024). Future of work is focus of Capitol Hill discussion featuring policymakers and researchers.Bandura, A. (1997). Self-efficacy: The Exercise of Control. W.H. Freeman.
  • Coughlan, A. T., & Grayson, K. (1998). Network Marketing Organizations: Compensation Plans, Retail Network Growth, and Profitability. International Journal of Research in Marketing, 15(5), 401–426.
  • DSEF & Ipsos. (2025). Consumer Attitudes Toward Direct Selling: Flexibility, Digital Connection, and Trust. Washington, DC.
  • DSEF. (2018). Empowering women through direct selling in emerging markets.
  • Entrepreneur. (2025). Why Gen Z is betting on direct selling and why that matters.
  • Kelepouris, C. (2024). Filling the Gap: Enhancing Business Education for Tomorrow’s Business Owners. Small Business Institute Journal, 20(2), 43–46.
  • Marinello, P. (2025). Strengthening trust and credibility in the direct selling channel. Journal of Direct Selling Research, 1(2), 22–27.
  • Peterson, R. A., Crittenden, V. L., & Albaum, G. (2019). On the economic and social benefits of direct selling. Business Horizons, 62(3), 373–382.
  • Rauch, A., & Hulsink, W. (2021). Entrepreneurial education and self-efficacy revisited. Entrepreneurship Education & Pedagogy, 4(2), 147–169.
  • Sarasvathy, S. D. (2001). Causation and effectuation. Academy of Management Review, 26(2), 243–263.

The Birth of Prosumers: From Passive Consumers to Active Entrepreneurs

By Jae Hwan Lee, PhD and Jiyoon An, PhD

Direct Selling and the Birth of Prosumers

A prosumer is an individual who both consumes and produces a good or service. The term is a portmanteau of the words producer and consumer.

This study contributes to research on prosumption by shifting attention from participation as an outcome to participation as a process of formation. It reframes direct selling as a structured participation system that teaches individuals how to act in markets.

In the Amway materials analyzed here, individuals are shown how to use products, diagnose needs, demonstrate value, interact with others, and advise on product combinations. These practices are not left to improvisation; they are modeled through catalogs, training guides, demonstration formats, recommendation tools, and ordering systems. Through repetition, these practices become recognizable and transferable.

These practices are not unique to one firm. Demonstration, advising, diagnosis, hosting, and facilitation are visible across the direct selling field.

Implications for Platform Economies and Gen Z Participation

Digital environments often make product demonstration, peer advising, community hosting, and transaction facilitation appear new. These activities are especially visible among Generation Z, whose consumption practices are closely intertwined with creator content, peer influence, and social commerce.

The present study suggests that these behaviors are better understood as contemporary reconfigurations of roles that have long been structured in other market contexts. Digital platforms change the medium, scale, speed, and visibility of participation, but they do not eliminate the underlying role logic.

Managerial Implications

The findings have several practical implications for organizations that rely on participant engagement, peer recommendation, social selling, or platform-enabled commerce.

  • Design materials that model action. Scripts, guides, examples, prompts, templates, and transaction tools can help individuals learn how to participate effectively
  • Design for roles rather than isolated tasks. A participant who demonstrates a product may also need to diagnose needs, advise on fit, host interaction, and facilitate exchange. Treating these activities as disconnected tasks may weaken participation. Designing materials and tools around roles can help organizations support more coherent engagement.
  • Role integration. The Amway case suggests that participation becomes more powerful when role integration occurs. A demonstration can lead into diagnosis; diagnosis can lead into advising; advising can lead into facilitation. Strengthen participation through materials that guide individuals across linked forms of engagement rather than supporting each activity separately.
  • Improve digital engagement by designing platform tools that support role transitions: from content viewing to product understanding, from peer discussion to recommendation, and from recommendation to transaction.

Abstract

Direct selling is an innovator in creating a creative consumer role, moving from the mere, passive consumer to the entrepreneurial, active prosumer. Drawing on 27 Amway print advertisements spanning 1970 to 2001, evolving participation roles, such as Early Phase (1970s), Transition Phase (1980s), and Later Phase (1990s- 2001), led to coordinated market participation through foundation roles (e.g., caretaker and diagnostician), interaction roles (e.g., demonstrator and host), and exchange roles (e.g., advisor and facilitator), indicating five core practices (use, diagnose, demonstrate, interact, and advise) that stabilize into six recognizable roles. These novel insights reframe direct selling as a structured formation system rather than a distribution channel, thereby repositioning consumers as prosumers with a learned capability. Prior to the age of platform economy via social media, this role transition enabled them to engage with the community by taking on active roles, including content demonstration, peer advising, community hosting, and transaction facilitation, demonstrating how the artifacts function as enactments across different infrastructures.

Introduction

In many markets, individuals do more than consume products; they demonstrate them, recommend them, and help others make decisions. These activities blur the boundary between consumption and participation, positioning individuals as active contributors to how products are communicated and exchanged (Cova & Dalli, 2009; Ritzer & Jurgenson, 2010). Yet this familiar observation conceals a more fundamental question: how do individuals become capable of performing these roles in the first place? Direct selling offers a particularly revealing context for examining this question because it organizes market activity through interpersonal interaction, demonstration, explanation, and relationship-based exchange (Biggart, 1989; Peterson & Wotruba, 1996). In 2024, U.S. direct selling generated $34.7 billion in retail sales and included 12.2 million individuals who have signed or renewed independent contractor agreements with direct selling companies. Of these, 5.4 million were direct sellers actively working to build businesses, while 6.8 million were discount buyers who purchased products for personal use rather than business building. The channel also reached 34.3 million preferred customers and discount buyers, according to DSA/DSEF reporting (Direct Selling Education Foundation, 2025). These figures highlight direct selling as an important setting for understanding how individuals enter and perform market participation.

What distinguishes this context is the central role of materials — catalogs, training guides, demonstration formats, recommendation tools, and ordering systems — that shape how individuals engage with products and with one another. These materials do more than communicate product attributes; they model how individuals act. They show how to use products, demonstrate value, interact with others, interpret needs, and facilitate exchange (Orlikowski, 2000; Shove et al., 2012). Across firms, these materials emphasize different aspects of participation. Tupperware and Pampered Chef foreground demonstration and group-based interaction; Mary Kay and Avon emphasize advisory roles grounded in consultation and recommendation; Herbalife and Nu Skin center engagement on diagnostic routines that align products with identified needs. Other firms, including Arbonne, Young Living, and doTERRA combine demonstration, advising, and community-based engagement in varying ways. These patterns suggest that diverse participation across direct selling firms reflects different emphases within a broader participation system (Biggart, 1989; Peterson & Wotruba, 1996; Weitz et al., 2020).

The contemporary relevance of this issue is especially visible in Generation Z market participation. Gen Z consumers routinely encounter products through creator content, peer recommendations, digital communities, livestream demonstrations, and platform-enabled shopping environments (Elshaer et al., 2024). In these settings, product value is often made visible through short-form video, interpreted through peer or influencer commentary, and converted into purchase through embedded links, storefronts, and checkout tools (Djafarova & Bowes, 2021; Ki et al., 2020; Lou & Yuan, 2019). These activities are often treated as novel features of platform economies, where digital infrastructures scale interaction, exchange, and ecosystem participation (Nambisan et al., 2019). Yet they also resemble long-standing participation roles: demonstrating products, advising others, hosting interaction, and facilitating transactions. Gen Z therefore makes the paper’s central puzzle more visible: if contemporary consumers appear increasingly capable of participating in markets, how are those participation capabilities learned, structured, and coordinated?

This question connects to the broader concept of prosumption, in which individuals participate in the creation, communication, and exchange of value (Toffler, 1980; Ritzer & Jurgenson, 2010). Existing research documents what prosumers do — how they create content, share knowledge, shape meanings, and contribute to value — but offers limited insight into how individuals become capable of doing so (Schau et al., 2009). This limitation matters because participation does not simply appear when markets become more social, digital, or decentralized. Individuals must learn how to demonstrate, advise, interact, and facilitate exchange in ways that are recognizable to others. Gen Z’s digital participation is therefore not treated here as a separate phenomenon, but as a contemporary expression of a broader question about how market participation is formed.

This study addresses that gap by examining Amway advertisements from 1970 to 2001. The analysis shows that participation is not left to individual interpretation but is structured through recurring practices — use, diagnose, demonstrate, interact, and advise — that are made observable and repeatable. These practices provide the foundation through which individuals learn how to engage with products and with others. The findings further show that these practices stabilize into recognizable roles — caretaker, diagnostician, demonstrator, host, advisor, and facilitator — that organize participation across contexts. In this sense, Amway is not treated as a representative direct selling firm, but as an integrative context in which roles that are often emphasized separately across different selling companies become visible within a single participation system. Here, “separately” does not refer to traditional retail structures, but to variation within the direct selling field itself. Some firms organize participation primarily around demonstration and hosting, others around consultation and advising, and still others around diagnosis, product routines, or community-based engagement. Amway is analytically useful because its materials bring these role elements together and show how they can be coordinated within one participation system.

The analysis also shows that market exchange is not driven by isolated behaviors but emerges from the coordination of these roles. Within Amway, materials explicitly link demonstration, diagnosis, advising, and facilitation into sequences of engagement that guide participants from initial interaction to completed transactions. Demonstration scripts make product value visible, needs-assessment prompts guide diagnosis, bundle recommendation sheets support advising, and order coordination tools translate interest into exchange. This sequencing helps explain why contemporary Gen Z participation should not be understood only as platform-driven novelty. Digital platforms may change the medium, speed, and visibility of participation, but the underlying role structure — demonstrating, advising, hosting, and facilitating — reflects a longer-standing participation logic.

This study contributes to research on prosumption by shifting attention from participation as an outcome to participation as a process of formation. Rather than asking only what prosumers do, it explains how individuals become capable of performing prosumption activities through structured materials, repeated practices, and recognizable roles. It also contributes to direct selling research by reframing direct selling as a participation system rather than merely a distribution channel or sales format. Finally, by showing how Amway integrates participation roles emphasized separately across different selling companies, the study provides a process-based account of how participation capabilities are structured, learned, and coordinated into market exchange.

Conceptual Background

Direct Selling as a Participation System

Direct selling encompasses a diverse set of organizational models that structure participation in different ways. Rather than representing a single approach to market exchange, the field consists of firms that promote different forms of engagement. Some organizations center participation around demonstration and shared experience. Tupperware and Pampered Chef, for example, organize interaction through group settings in which products are presented, tested, and discussed collectively. Other firms emphasize advisory relationships. Mary Kay and Avon position participants as guides in product selection and use, making consultation and recommendation central to participation. A third set of firms extends participation into diagnostic and system-based guidance. Herbalife and Nu Skin structure engagement around identifying needs and connecting those needs to product systems, while firms such as Arbonne, Young Living, and doTERRA combine demonstration, advising, routines, and community-based engagement in varying ways. These differences reflect direct selling’s broader reliance on interpersonal exchange, demonstration, and relationship-based selling (Biggart, 1989; Peterson & Wotruba, 1996; Weitz et al., 2020).

Historically, direct selling depended on materials that shape how participation occurs. Catalogs, training guides, demonstration formats, recommendation sheets, and ordering systems do not merely support exchange; they organize it. They show participants how to use products, explain them, interact with others, and move from interest to transaction. In this sense, direct selling materials function as practical guides for participation, making market activity observable, repeatable, and learnable (Biggart, 1989; Peterson & Wotruba, 1996). This matters because participation is not evenly distributed across direct selling firms. Different organizations emphasize particular roles within a broader system. Demonstration, advising, diagnosis, hosting, and facilitation may appear separately across firms, but together they point to a larger structure through which individuals are taught to participate in markets. Understanding that structure requires moving beyond firm-level descriptions to examine how participation is formed.

Prosumption, Platforms, and the Formation of Participation

The forms of engagement visible in direct selling align with the broader concept of prosumption, in which production and consumption become intertwined (Toffler, 1980; Ritzer & Jurgenson, 2010). Prosumers do not simply consume value; they contribute to its creation, communication, and circulation. Prior research has documented these activities in contexts such as brand communities, co-creation settings, digital platforms, and peer-to-peer exchange, showing how consumers generate content, advise others, shape meanings, and participate in value creation (Cova & Dalli, 2009; Humphreys & Grayson, 2008; Schau et al., 2009). Yet this literature often treats participation as already available, emphasizing what consumers do more than how participation capabilities are formed (Cova & Dalli, 2009; Schau et al., 2009). The ability to demonstrate products, interpret needs, guide others, and facilitate exchange is often assumed rather than explained. This limitation is central to the paper’s argument because participation requires more than access to markets or technologies; it requires learned practices, recognizable roles, and structured forms of interaction.

This issue is especially visible in contemporary platform economies, where markets increasingly rely on users, creators, influencers, and peer participants who perform market-facing roles at scale. Platformization reshapes consumer culture by reorganizing interaction, mediation, visibility, and market participation (Caliandro et al., 2024). Product value is demonstrated through short-form videos, livestreams, reviews, and tutorials; needs are interpreted through creator commentary, peer discussion, and recommendation systems; interaction is organized through digital communities and platform-mediated audiences; and exchange is facilitated through embedded links, affiliate storefronts, shoppable posts, and checkout tools (Busalim et al., 2021). Generation Z makes this process particularly visible because Gen Z consumers frequently encounter products through creator content, peer recommendations, social commerce interfaces, and platform-mediated communities (Djafarova & Bowes, 2021; Ki et al., 2020; Lou & Yuan, 2019). These behaviors are often described as features of digital platforms or influencer economies, but they also depend on recognizable participation roles: demonstrating, advising, hosting, and facilitating.

The platform economy therefore sharpens the theoretical problem. Platforms expand the visibility, speed, and reach of participation, but they do not by themselves explain how individuals learn to perform market-facing roles (Nambisan et al., 2019; Scaraboto & Fischer, 2024). A platform may provide the infrastructure for content creation, recommendation, interaction, and transaction, but participation still requires capabilities that must be learned and recognized by others. This creates a bridge between direct selling and platform-mediated markets: both rely on participants who connect products, audiences, recommendations, and exchange. The difference is that direct selling materials make the formation of those roles more observable, while platforms amplify their circulation.

Practice theory offers a way to examine this formation process. Practices are routinized patterns of activity shaped by the relationship among materials, competencies, and meanings (Reckwitz, 2002; Shove et al., 2012). From this perspective, participation is not simply an expression of individual preference or motivation. It is learned through repeated engagement with materials and situations that make action possible. Materials matter because they provide cues, scripts, and formats that make practices visible and performable (Orlikowski, 2000; Warde, 2005). In direct selling, materials such as catalogs, demonstration guides, recommendation sheets, and ordering tools provide precisely this kind of structure. They do not only describe products; they show participants how to perform market-facing activities. Through repeated exposure to these materials, individuals learn how to use, diagnose, demonstrate, interact, advise, and facilitate exchange. Over time, these practices become more stable and recognizable.

This reframes prosumption as a process of formation. Rather than asking only what prosumers do, the central issue becomes how participation capabilities are developed. Direct selling provides a useful context for this question because it makes the formation process visible in organizational materials that explicitly guide action. Gen Z and platform-mediated participation, by contrast, show the contemporary expression of the same underlying issue: participation appears widespread, but it still depends on learned practices, recognizable roles, and coordinated forms of interaction.

From Distributed Roles to an Integrative System

Practice theory explains how participation is learned, but it does not fully explain how repeated activities become organized into recognizable forms of engagement. Role theory provides a complementary lens. Roles are patterned forms of behavior that guide interaction and allow others to understand what kind of participation is being performed (Biddle, 1986; Goffman, 2023). In market contexts, roles such as demonstrator, advisor, host, or facilitator organize how individuals engage with products, customers, audiences, and one another. In direct selling, these roles appear to be distributed across firms, reflecting variation in demonstration, advising, diagnostic engagement, and relationship-based selling practices (Biggart, 1989; Peterson & Wotruba, 1996). One firm may foreground the demonstrator role through product presentations, another may foreground the advisor role through consultation, and another may emphasize diagnostic engagement through product systems and needs assessment. These patterns suggest that direct selling firms do not simply differ in product categories or sales formats; they emphasize different role configurations within a broader participation system.

The central analytical challenge is to observe how these roles operate together. If roles are distributed across firms, it is difficult to see how they interact within a single participation system. This is where Amway becomes analytically useful. Amway’s materials span multiple domains — household products, personal care, beauty, wellness, product systems, recommendations, and ordering tools. This breadth makes it possible to observe how practices associated with use, diagnosis, demonstration, advising, interaction, and facilitation co-occur within one organizational context. Amway is therefore not treated here as a typical or representative direct selling firm. It is treated as an integrative empirical lens. Its materials make visible how roles that are often distributed across firms can be linked within a single participation system. This distinction is important because the study is not simply about identifying roles, but about explaining how practices stabilize into roles and how those roles coordinate participation toward exchange.

This role-based perspective also clarifies how the study connects historical direct selling materials to contemporary platform participation. The argument is not that Amway predicts Gen Z behavior or that direct selling and platform economies are identical. Rather, Amway provides an archival setting in which the formation of participation roles can be observed in detail. Platform economies show why this formation process matters today: digital markets depend on participants who can demonstrate, advise, host, and facilitate exchange across technologically mediated settings. Amway is relevant not because it is a simple precursor to platforms, but because it reveals the underlying role logic that platform environments now scale, accelerate, and reconfigure.

Methods

Research Design

This study uses a qualitative, interpretive research design to examine how participation is constructed through materials that guide action and interaction. The purpose is not simply to document direct selling practices, but to explain how individuals become capable of performing prosumption activities. This design is appropriate because the study focuses on processes of learning, repetition, stabilization, and coordination — processes that are difficult to capture through outcome-based measures alone (Gioia et al., 2013; Langley, 1999).

Amway is used as an integrative empirical lens. As developed in the conceptual background, direct selling firms often emphasize particular forms of participation, such as demonstration, advising, diagnosis, hosting, or facilitation. Amway is analytically useful because its materials span multiple domains, including household products, personal care, beauty, wellness, product systems, recommendation tools, and ordering materials. This breadth makes it possible to observe how practices that are often distributed across firms co-occur and become linked within a single participation system. The study therefore treats Amway not as a representative case, but as a context in which the structure of participation becomes visible.

Data Collection

The empirical analysis draws on a curated set of 27 archival artifacts produced by Amway between 1970 and 2001. These artifacts include catalogs, training guides, demonstration formats, recommendation tools, and ordering materials. The period is useful because it captures the development of direct selling materials across product use, interaction, advising, and transaction facilitation. Rather than focusing only on promotional content, the dataset includes materials that guide what participants are expected to do and how they are expected to engage with others.

Artifacts were selected because they contained explicit or implicit guidance on participation. Some materials modeled routine product use, while others showed how to demonstrate products, assess needs, recommend product combinations, host interaction, or coordinate orders. This selection strategy supports the study’s central aim: to examine how participation is structured through materials rather than assumed as an individual trait.

Table 1 summarizes the artifact categories used in the analysis. The table is included here because the credibility of the study depends on showing the range of materials analyzed before presenting the coding and findings. Together, the artifacts provide a longitudinal view of how participation was modeled across product use, interpersonal interaction, role formation, and exchange.

Table 1
Overview of Amway Archival Artifacts Analyzed (1970-2001)

Artifact
Category
Description Participation Function
in the Analysis
Illustrative Artifacts Period Covered
Product catalogs and product system materials Catalogs and product-oriented materials presenting household, personal care, beauty, wellness, and related product systems Model routine product use and provide the foundation for the use practice and caretaker role Household cleaning routines catalog; extended product system guides; usage manuals 1970s–2001
Training and needs-assessment materials Materials that guide participants in identifying customer needs, asking questions, and interpreting situations Support the diagnose practice and diagnostician role by showing participants how to assess needs before recommending products Customer needs assessment guide; diagnostic training frameworks 1990s–2001
Demonstration materials and presentation scripts Materials that show participants how to present product features, sequence demonstrations, and make product value visible Support the demonstrate practice and demonstrator role by scripting visible product performance Kitchen product demonstration script; advanced demonstration guides 1980s–2001
Hosting and interaction guides Materials that structure group engagement, invitations, discussion, and shared product experiences Support the interact practice and host role by organizing social participation around products Hosted demonstration event guide; group engagement materials 1980s–2001
Recommendation and product-bundle tools Materials that connect identified needs to product combinations, routines, or solution sets Support the advise practice and advisor role by guiding product choice and recommendation Product bundle recommendation sheet; expanded recommendation frameworks 1990s–2001
Ordering and transaction-
coordination materials
Forms and tools that guide order placement, coordination, fulfillment, and transaction completion Support the facilitator role by connecting interaction and recommendation to exchange Order coordination and fulfillment form; later ordering tools 1990s–2001


Coding Procedure

The coding procedure moved from concrete material evidence to broader conceptual categories. The first stage focused on observable actions within the artifacts. These included actions such as using products, presenting product features, asking questions, identifying needs, recommending product combinations, inviting interaction, and coordinating orders. At this stage, the goal was to capture what the materials asked participants to do before interpreting those actions as broader practices or roles. The second stage grouped recurring actions into broader practice categories. Actions related to routine product application were grouped under use. Actions involving need identification were grouped under diagnose. Product presentation actions were grouped under demonstrate, while conversation, hosting, and group engagement actions were grouped under interact. Recommendation-oriented actions were grouped under advise. These practice categories reflect repeated forms of engagement that participants could observe, copy, and refine. The third stage examined how practices stabilized into recognizable roles. Repeated practices of routine use supported the caretaker role. Need-identification practices supported the diagnostician role. Presentation practices supported the demonstrator role. Group engagement practices supported the host role. Recommendation practices supported the advisor role. Transaction-coordination practices supported the facilitator role. This coding progression allowed the analysis to move from materials to practices, from practices to roles, and from roles to exchange, consistent with qualitative approaches that develop concepts through iterative abstraction from empirical evidence (Gioia et al., 2013).

Detailed artifact-level coding examples are provided in Appendix A, which links specific artifacts to coded actions, practice categories, and roles. Appendix B provides coding definitions and inclusion criteria. These appendices make the analytical movement from artifact evidence to conceptual interpretation visible while keeping the main text focused on the core analysis.

Analytical Approach

The analysis was iterative rather than strictly linear. Codes were refined through repeated movement between individual artifacts, emerging categories, and the broader conceptual framework. This movement between data and emerging interpretation is consistent with process-oriented qualitative analysis, where concepts are developed through comparison over time and across evidence (Langley, 1999). The purpose of this iterative process was not only to identify recurring practices, but to understand how those practices became linked into roles and coordinated toward exchange.

Three analytical moves were especially important. First, the analysis compared practices across different artifact types to determine whether they appeared consistently or only within isolated materials. Catalogs, training guides, demonstration formats, recommendation tools, and ordering materials each modeled different aspects of participation. Examining them together made it possible to trace how product use, demonstration, advising, interaction, and transaction facilitation were connected across the broader participation system.

Second, the analysis refined the boundaries between adjacent practices and roles. Some categories initially appeared close to one another. Demonstration and advising, for example, both involved communicating product value. They were separated analytically because demonstration makes value visible through performance, whereas advising interprets needs and guides product choice. Similarly, interaction and facilitation were distinguished because interaction organizes engagement, while facilitation operationalizes exchange. These distinctions were central to explaining how participation roles coordinate without collapsing into a single generalized selling activity.

Third, the analysis examined whether patterns were reinforced across the full corpus rather than concentrated in a few illustrative artifacts. Primary artifacts are used in the results to make each practice and role concrete, while later artifacts show how these patterns recur across the dataset. This corpus-level comparison supports the interpretation that the findings reflect a structured participation system rather than isolated examples. Appendix A provides artifact-level coding examples, and Appendix B provides coding definitions and inclusion criteria, making the movement from material evidence to conceptual interpretation visible.

Results

The results trace how participation is constructed through a cumulative process: materials model practices, practices stabilize into roles, and roles coordinate market exchange. This progression corresponds to the study’s central empirical logic. First, the analysis shows how direct selling materials structure participation practices. Second, it shows how those practices become recognizable roles. Third, it shows how roles work together to enable exchange. Rather than treating participation as an outcome, the findings show how it is formed through structured engagement. Materials make participation visible; repeated practices make it performable; roles make it recognizable; and the coordination of roles makes exchange possible, consistent with practice-based perspectives on how action becomes routinized and socially shared (Reckwitz, 2002; Shove et al., 2012).

Participation Practices

Participation first appears in the materials as a set of concrete, repeatable activities. Individuals are not simply presented with products; they are shown how to act — how to use products, demonstrate their value, engage others, interpret needs, and provide recommendations. These actions recur across materials and converge into five core practices: use, diagnose, demonstrate, interact, and advise.

The use practice is most visible in early catalog materials. A household cleaning product catalog from the 1970s presents products within structured routines — daily, weekly, and situational applications — implicitly guiding participants to integrate products into ongoing patterns of use (A1). Rather than framing consumption as a one-time act, the catalog normalizes repeated engagement. This reflects how practices are sustained through repetition and embedded in everyday routines (Warde, 2005). This emphasis on continuity is reinforced in later product system guides and extended usage manuals (A9–A12).

The diagnose practice emerges in training-oriented materials. A customer needs assessment guide includes prompts that encourage participants to identify problems before recommending products (A5). This shifts engagement from product presentation to situational interpretation. Later materials expand these diagnostic routines into structured frameworks, reinforcing the participant’s role as an evaluator of needs rather than a passive presenter of products (A13–A16).

The demonstrate practice is explicitly structured in product demonstration materials. A kitchen product demonstration script provides step-by-step guidance on how to present features in sequence, ensuring that performance becomes visible and observable (A3). Demonstration operates as a performative practice that makes product value tangible, consistent with research on how consumer practices generate shared meaning (Schau et al., 2009). This scripting is echoed in more advanced demonstration guides (A10–A14).

The interact practice appears in materials that organize group participation. A hosted demonstration event guide outlines how to invite participants, facilitate discussion, and structure shared experiences (A4). Interaction is therefore not incidental but designed into participation, reflecting how engagement is socially organized (Cova & Dalli, 2009). These patterns are reinforced in later materials that formalize engagement strategies and group interaction (A11–A15).

The advise practice appears in recommendation-oriented materials. A product bundle recommendation sheet presents combinations of products tailored to specific needs, guiding participants to frame choices around situations rather than isolated features (A7). Later frameworks extend these bundles into more complex systems of recommendation, reinforcing advising as an interpretive practice through which participants connect needs to product combinations (A14–A18).

Across these examples, participation is made learnable. The materials repeatedly encode actions that can be observed, copied, and refined. Appendix A shows how these practices recur across the full set of artifacts (A1–A27). Participation is therefore not assumed; it is constructed through structured exposure to practices (Reckwitz, 2002; Shove et al., 2012). These practices are not unique to one firm. Demonstration, advising, diagnosis, hosting, and facilitation are visible across the direct selling field, but different firms tend to foreground different practices. Tupperware and Pampered Chef make demonstration and hosting especially visible; Mary Kay and Avon foreground advising; Herbalife and Nu Skin emphasize diagnostic engagement through product systems; and firms such as, Arbonne, Young Living, and doTERRA combine advising, routines, and community-based engagement in varying ways. What distinguishes the Amway materials examined here is that these practices are observed together and linked within a single artifact system. Demonstration scripts connect to need-identification prompts, recommendation sheets translate needs into product bundles, and ordering tools convert recommendations into completed transactions (A3, A5, A7, A8). This linkage provides the bridge from individual practices to participation roles.

Figure 1 captures this cumulative process. Practices begin as modeled activities, but through repetition and combination they become stable forms of participation. Individuals move from routine engagement to more complex forms involving diagnosis, demonstration, interaction, and advising. The figure therefore shows how participation develops through structured exposure rather than spontaneous adoption.


Role Formation

As practices accumulate and interact, they stabilize into recognizable forms that organize participation. Across firms, these forms often appear as distinct modes of engagement. In Amway’s materials, however, they appear as interconnected roles within a broader participation system. The analysis identifies six such roles: caretaker, diagnostician, demonstrator, host, advisor, and facilitator. These roles reflect patterned forms of social action that guide interaction and make participation recognizable to others (Biddle, 1986; Goffman, 2023).

The caretaker role is grounded in routine use. In the household cleaning routines catalog, products are embedded within repeated applications, positioning participants as stewards of ongoing product engagement rather than one-time consumers (A1). This role is reinforced in extended usage materials that emphasize continuity across product systems (A9–A12).

The diagnostician role builds on need-identification practices. The customer needs assessment guide positions participants as evaluators who interpret situations before recommending products (A5). Later diagnostic frameworks elaborate this role by formalizing how participants identify needs and connect them to product systems (A13–A16).

The demonstrator role emerges from structured presentation. The kitchen product demonstration script specifies how participants should present product features in sequence, making product value visible through performance (A3). Demonstration therefore becomes a repeatable role rather than an improvised activity. Additional demonstration materials reinforce this role by standardizing presentation techniques across settings (A10–A14).

The host role is evident in materials that organize interaction. The hosted demonstration event guide provides instructions on structuring group engagement, inviting participation, and facilitating discussion (A4). Hosting organizes the social conditions in which demonstration, interaction, and advising can occur. Later materials extend this logic into broader engagement strategies (A11–A15).

The advisor role extends recommendation practices. The product bundle recommendation sheet aligns products with identified needs, guiding participants to support decision-making (A7). The advisor role therefore depends on interpretation and judgment, not merely product knowledge. Later recommendation materials expand this advisory logic into more comprehensive solution frameworks (A14–A18).

The facilitator role becomes visible in transaction-oriented materials. An order coordination and fulfillment form structures how product selections are translated into completed transactions, including ordering, coordination, and delivery processes (A8). This role connects participation to exchange by operationalizing the transaction itself. Later ordering and coordination tools further systematize this role across the dataset (A15–A27).

While each role is anchored in specific materials, the broader corpus shows that these roles are repeatedly reinforced across artifact types. Roles therefore emerge not as isolated categories but as stabilized configurations of practice shaped through repeated exposure and coordination (Reckwitz, 2002).

Figure 2 illustrates how these roles form an interconnected system. Demonstration supports advising because visible product performance provides the basis for recommendation. Interaction enables hosting because participation often requires a social setting. Facilitation connects these activities to exchange by providing the mechanisms through which transactions are completed. Participation therefore emerges through coordination among roles rather than through isolated actions (Shove et al., 2012).


Table 2 places the role system in comparative context. The table is not intended to classify firms as mutually exclusive role types. Rather, it shows how different direct selling firms make particular participation roles especially visible. Tupperware and Pampered Chef foreground demonstration and hosting because their models organize participation around group-based product presentation. Mary Kay and Avon make advising especially visible through consultation and personalized recommendation. Herbalife and Nu Skin foreground diagnostic engagement by linking needs assessment to product systems. Firms such as, Arbonne, Young Living, and doTERRA combine elements of advising, routines, community interaction, and product-system guidance. These examples indicate that participation roles are distributed across the direct selling field, reflecting variation in how firms structure interpersonal exchange and relationship-based selling (Biggart, 1989; Peterson & Wotruba, 1996).

Table 2
Participation Roles Across Firms and Contemporary Contexts

Participation Role Core Function Role Manifestation in Comparative Firms Amway’s Integrative Coverage Contemporary Digital/Platform Expression
Caretaker Maintains routine product use and embeds products in everyday practices Often implicit across product-based direct selling firms where repeated use, replenishment, and routines are central Product catalogs and usage materials frame products as part of ongoing household, personal care, beauty, and wellness routines Routine-sharing content; “daily use” videos; product routine posts; recurring subscription or replenishment practices
Diagnostician Identifies needs, problems, or situations that products may address Herbalife and Nu Skin make diagnostic engagement especially visible through needs-based and product-system guidance; Rodan + Fields and Arbonne also show routine/system-based diagnosis Needs-assessment materials guide participants to interpret situations before recommending products across multiple product domains Problem-solution content; personalized recommendation quizzes; diagnostic influencer content; needs-based peer advice
Demonstrator Makes product value visible through presentation or performance Tupperware and Pampered Chef make demonstration especially visible through product parties, cooking demonstrations, and hosted product experiences Demonstration scripts show participants how to sequence product presentations and make benefits observable across product categories Product tutorials; reviews; short-form demonstration videos; livestream product showcases
Host Organizes social interaction around products Tupperware and Pampered Chef strongly manifest hosting through parties, gatherings, and shared product experiences; Young Living and doTERRA also show community-based engagement Hosted demonstration guides structure invitations, group discussion, and shared engagement Livestream hosts; online community moderators; group chats; social commerce events
Advisor Guides interpretation, product choice, and recommendation Mary Kay and Avon make advising especially visible through consultation, personalized recommendation, and relational guidance; Rodan + Fields and Arbonne also emphasize routine-based advising Bundle recommendation materials connect identified needs to product combinations and solution sets Influencer recommendations; peer advising; “best for you” content; creator-curated product lists
Facilitator Coordinates access, ordering, fulfillment, and transaction completion Present across direct selling firms but often backgrounded as transaction support rather than foregrounded as a participation role Ordering and coordination tools link interaction and recommendation to completed exchange, making facilitation visible as part of the role system Embedded checkout links; affiliate storefronts; shoppable posts; platform-based transaction tools

Amway is analytically useful because its materials provide the most comprehensive view of this distributed role system within a single organizational context. The Amway artifacts do not simply show isolated practices; they connect routine use, diagnosis, demonstration, interaction, advising, and facilitation into linked sequences of engagement. This breadth makes Amway especially useful for examining how participation roles operate together rather than separately. Amway is therefore distinct not because it is superior to other firms, but because its materials make role integration visible. In many firms, participation is organized around a dominant mode of engagement. In Amway’s materials, roles are linked: demonstration connects to advising, advising connects to product systems, and interaction connects to facilitation (A3, A7, A8). This structure allows participants to move across roles within a coordinated system rather than remain within one dominant form of engagement. This distinction is central to the findings. Amway does not merely display a broader role set; it organizes roles relationally. Its materials show how use, diagnosis, demonstration, advising, interaction, and facilitation can reinforce one another. In this sense, Amway functions as an integrative empirical lens through which a distributed participation system becomes visible within a single organizational context.

Participation and Market Exchange

The final pattern concerns how participation extends into market exchange. Exchange does not appear as a single act or as the result of isolated persuasion. It emerges from the coordination of roles.

Material evidence shows how this coordination operates. Demonstration scripts make product value visible (A3), needs-assessment prompts frame problems and guide diagnosis (A5), recommendation materials support interpretation and product matching (A7), and transaction tools operationalize exchange (A8). Later artifacts further systematize this process by linking interaction, advising, and ordering into coordinated sequences (A15–A27).

This coordination matters because exchange requires more than awareness. Product value must be made visible, needs must be interpreted, trust must be established, and transactions must be completed. The role system performs these functions collectively. Demonstration makes value observable. Advising makes value meaningful. Hosting creates a setting for interaction. Facilitation converts interest into exchange. Market exchange is therefore produced through role alignment rather than isolated behavior, consistent with prosumption perspectives that view value as emerging through multiple forms of participation (Ritzer & Jurgenson, 2010).

Table 3 shows how this role system develops over time. Early materials emphasize routine use and maintenance, as seen in household product catalogs that embed products in repeated domestic routines (A1). Transitional materials increasingly incorporate demonstration and interaction, as seen in scripted demonstration and hosted event guides (A3, A4). Later materials integrate advising and facilitation, as seen in bundle recommendation sheets and order coordination tools (A7, A8). Over time, participation becomes more coordinated, reflecting the emergence of a role-based system.

Table 3
Evolution of Participation Roles Reflected in Amway Archival Artifacts (1970-2001)

Period Primary Material Emphasis Dominant Practices Dominant Roles Participation Pattern Representative Artifact Evidence
Early phase:
1970s
Product use, household routines, and maintenance Use;
early diagnosis
Caretaker; emerging diagnostician Participation is organized around routine product use and problem solving. Materials teach participants how to incorporate products into repeated domestic and household practices. Household cleaning routines catalog (A1); early product system and usage materials (A9, A9, A12)
Transitional
phase:
1980s
Demonstration, presentation, and group interaction Demonstrate;
interact
Demonstrator; host Participation expands from routine use to socially visible product presentation. Materials show participants how to make product value observable and how to organize interaction around products. Kitchen product demonstration script (A3); hosted demonstration event guide (A4); advanced demonstration and group engagement materials (A10–A14)
Later phase:
1990s–2001
Advising, product systems, recommendation, and transaction coordination Advise; facilitate; advanced diagnosis Advisor; facilitator; reinforced diagnostician Participation becomes more coordinated and exchange-oriented. Materials link needs assessment, product recommendation, and ordering into sequences that move participants from interaction to completed exchange. Customer needs assessment guide (A5); product bundle recommendation sheet (A7); order coordination and fulfillment form (A8); later ordering and coordination tools (A15–A27)

This progression is cumulative rather than substitutive. Later roles build on earlier ones rather than replacing them. Advising depends on product familiarity; demonstration depends on use; facilitation depends on interaction and trust. Direct selling materials first stabilize practices of use, then expand participation through demonstration and interaction, and eventually link those roles to advising and exchange. This pattern aligns with practice-based accounts of how repeated activities evolve into organized systems of action (Reckwitz, 2002; Shove et al., 2012).

In summary, these findings show that market exchange is produced through structured participation systems that connect practices, roles, and interaction. Contemporary forms of participation — such as digital content creation, peer advising, and platform-based transactions — reflect this same underlying structure, even as the contexts in which roles are performed have changed (Djafarova & Bowes, 2021; Ki et al., 2020; Lou & Yuan, 2019).

Discussion

This study examined how individuals become capable of participating in market processes commonly associated with prosumption. Rather than treating participation as an outcome of social, digital, or decentralized markets, the analysis shows how participation is formed through materials that model action, practices that become repeatable, and roles that coordinate exchange. The findings reposition prosumption as a process of formation: individuals become prosumers not simply because markets invite participation, but because participation capabilities are structured, learned, and organized.

Reframing Prosumption as a Formation Process

Prior research on prosumption has shown that consumers contribute to value creation through activities such as content generation, peer advising, product interpretation, and co-creation (Cova & Dalli, 2009; Ritzer & Jurgenson, 2010; Schau et al., 2009). This literature has been important in moving beyond passive models of consumption. However, it often begins after participation has already occurred. It documents what prosumers do but gives less attention to how individuals acquire the capability to perform these activities.

The present study addresses that gap by showing that participation capabilities are formed through structured exposure to participation practices. In the Amway materials analyzed here, individuals are shown how to use products, diagnose needs, demonstrate value, interact with others, and advise on product combinations. These practices are not left to improvisation; they are modeled through catalogs, training guides, demonstration formats, recommendation tools, and ordering systems. Through repetition, these practices become recognizable and transferable. Prosumption, in this account, is not simply an expression of consumer agency or co-created value; it is a learned capability developed through structured materials and repeated action. This distinction is important because recent work continues to examine how co-creation produces consumer and firm value, while the present study explains how the capability to participate in such value creation is formed (Sahi et al., 2022).

This reframing shifts the central question from “what do prosumers do?” to “how are prosumers made?” The answer developed in this study is that prosumers are formed through a participation system that links materials, practices, roles, and exchange. This process-based view helps explain why participation can appear natural in contemporary markets even though it depends on learned routines and structured forms of interaction.

Extending Practice and Role Perspectives

The findings extend practice theory by showing how practices become organized into participation roles. Practice theory emphasizes that action is shaped through recurring relationships among materials, competencies, and meanings (Reckwitz, 2002; Shove et al., 2012; Warde, 2005). The present study builds on this view but adds a further step: repeated practices do not remain isolated activities; they stabilize into roles that make participation recognizable to others.

The six roles identified in the analysis — caretaker, diagnostician, demonstrator, host, advisor, and facilitator — show how practices become socially organized. Routine use supports the caretaker role; needs assessment supports the diagnostician role; structured presentation supports the demonstrator role; group engagement supports the host role; recommendation supports the advisor role; and order coordination supports the facilitator role. These roles matter because they translate repeated practices into recognizable forms of market participation.

This finding also contributes to role theory. Role theory explains how patterned behavior guides interaction and allows participants to understand what is expected in social settings (Biddle, 1986; Goffman, 2023). In this study, roles are not treated as fixed positions assigned in advance. Instead, they emerge from repeated engagement with materials and practices. This connection between practice theory and role theory clarifies how learned action becomes organized and intelligible in market interaction.

Amway and the Integration of Distributed Participation Roles

A central insight of the study is that direct selling participation is distributed across firms but can be observed as an integrated system in Amway. Comparative examples show that firms tend to emphasize different aspects of participation. Tupperware and Pampered Chef make demonstration and hosting especially visible; Mary Kay and Avon foreground advising and relational guidance; Herbalife and Nu Skin emphasize diagnostic and system-based engagement; and firms such as, Arbonne, Young Living, and doTERRA combine advising, routines, community interaction, and product-system guidance in varying ways. These examples suggest that direct selling firms do not merely differ in product categories or selling formats. They emphasize different configurations of participation roles.

Amway is analytically useful because its materials provide a more comprehensive view of this distributed role system within a single organizational context. The findings show that Amway materials do not simply contain multiple roles; they link them. Demonstration scripts connect product performance to advising. Needs-assessment materials connect diagnosis to recommendation. Bundle recommendation sheets connect advising to product systems. Ordering tools connect interaction to transaction. This role integration is the mechanism that makes Amway useful as an empirical lens.

This distinction matters because it clarifies the contribution of the case. Amway is not presented as a typical direct selling firm or as a superior organizational model. Rather, it provides a context in which the broader participation system becomes visible. By bringing multiple roles into one coordinated sequence, Amway’s materials reveal how participation can move from product use to demonstration, from demonstration to advising, and from advising to exchange. The study therefore reframes direct selling as more than a distribution channel or sales method. It is a structured participation system that teaches individuals how to act in markets.

Implications for Platform Economies and Gen Z Participation

The findings also help reinterpret contemporary platform-based participation. Digital environments often make product demonstration, peer advising, community hosting, and transaction facilitation appear new. Influencers demonstrate products through short-form content and livestreams; peers advise one another through comments, reviews, and communities; and platform tools enable embedded transactions through links, storefronts, and checkout systems (Busalim et al., 2021; Djafarova & Bowes, 2021; Ki et al., 2020; Lou & Yuan, 2019). These activities are especially visible among Generation Z, whose consumption practices are closely intertwined with creator content, peer influence, and social commerce.

The present study suggests that these behaviors are not entirely new forms of participation. They are better understood as contemporary reconfigurations of roles that have long been structured in other market contexts. Digital platforms change the medium, scale, speed, and visibility of participation, but they do not eliminate the underlying role logic. Demonstration, advising, hosting, and facilitation remain central; they are enacted through different infrastructures.

This interpretation avoids treating Gen Z participation as a complete break from earlier market forms. Instead, Gen Z makes visible a broader shift in how participation roles are mediated. What appears distinctive about Gen Z participation is not necessarily the existence of demonstration, advising, hosting, or facilitation, but the way these roles are performed through platform infrastructures. Product demonstration occurs through short-form video and livestream formats; advising occurs through peer recommendations, creator commentary, and community discussion; hosting occurs through digital groups and platform-mediated audiences; and facilitation occurs through embedded links, storefronts, and checkout tools. In this sense, Gen Z participation reflects the platform-enabled reconfiguration of roles that have long organized market participation.

This connection also clarifies the relevance of Amway to the platform economy. The argument is not that Amway predicts platform behavior or that direct selling and platform economies are identical. Rather, Amway’s archival materials make the formation and integration of participation roles visible in a way that platform environments often obscure. Platforms amplify and accelerate participation, but Amway helps reveal how participation capabilities are structured in the first place. This interpretation complements recent work showing that platform markets are shaped by prosumer practices, not merely by platform infrastructures (Scaraboto & Fischer, 2024).

Managerial Implications

The findings have several practical implications for organizations that rely on participant engagement, peer recommendation, social selling, or platform-enabled commerce. First, participation should not be assumed. Organizations often expect individuals to create content, recommend products, engage communities, or facilitate transactions, but the findings suggest that these activities require structured support. Materials that model action — scripts, guides, examples, prompts, templates, and transaction tools — can help individuals learn how to participate effectively.

Second, firms should design for roles rather than isolated tasks. A participant who demonstrates a product may also need to diagnose needs, advise on fit, host interaction, and facilitate exchange. Treating these activities as disconnected tasks may weaken participation. Designing materials and tools around roles can help organizations support more coherent engagement.

Third, the findings highlight the importance of role integration. Many firms emphasize one dominant mode of participation, such as demonstration, advising, or community engagement. The Amway case suggests that participation becomes more powerful when roles are linked. A demonstration can lead into diagnosis; diagnosis can lead into advising; advising can lead into facilitation. Organizations seeking to strengthen participation should therefore consider how their materials guide individuals across linked forms of engagement rather than supporting each activity separately.

Finally, the findings are relevant for digital and platform-mediated settings. Platform features often encourage participation but do not necessarily teach users how to participate well. Firms can improve digital engagement by designing platform tools that support role transitions: from content viewing to product understanding, from peer discussion to recommendation, and from recommendation to transaction. This implication aligns with recent work on social selling, which shows that selling practices become established through participants’ practical work rather than through technology alone (Schmitt et al., 2021). In this sense, the study provides a role-based framework for designing participation in both direct selling and digital commerce contexts.

Limitations and Future Research

This study has several limitations that open opportunities for future research. First, the empirical analysis focuses on Amway materials from 1970 to 2001. This design is useful for observing role integration within one organizational context, but it does not allow for direct empirical comparison across all direct selling firms. Future research could compare multiple firms to examine whether and how different organizations structure participation roles in distinct ways.

Second, the study analyzes archival materials rather than direct participant behavior. The materials show how participation was formally modeled, scripted, and organized, but they do not show how individual participants interpreted or enacted those materials in practice. Future research could use interviews, ethnography, or observational methods to examine how participants actually move across roles in live selling contexts.

Third, the study connects the findings to contemporary digital participation conceptually rather than empirically. Future studies could examine whether the same role system appears in influencer marketing, social commerce, livestream selling, brand communities, or platform-enabled peer selling. Such research could test whether the roles identified here — demonstrator, host, advisor, facilitator, and related roles — operate similarly in digital environments.

Finally, future research could explore the conditions under which participation systems succeed or fail. The presence of materials and roles does not guarantee effective participation. Individual motivation, trust, social networks, product type, organizational incentives, and regulatory context may all shape whether participation roles are adopted and coordinated effectively.

Conclusion

This study explains how individuals become capable of participating in market processes commonly associated with prosumption. By examining Amway’s archival materials, the analysis shows how participation is structured through materials, learned through repeated practices, stabilized into roles, and coordinated into exchange. The central contribution is to shift attention from participation outcomes to participation formation. Prosumers are not simply produced by digital platforms, social markets, or decentralized exchange. They are formed through systems that teach individuals how to use, diagnose, demonstrate, interact, advise, and facilitate. By making this process visible, the study provides a framework for understanding how market participation is structured across direct selling, social commerce, and contemporary platform-mediated environments.


Note: The authors express sincere thanks to Amway for sharing their proprietary advertisements from the corporate archive for research purposes.


Dr. Jiyoon An is an Assistant Professor of Marketing at Fayetteville State University

Dr. Jae Hwan Lee is an Associate Professor of Business at Rollins College

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Appendix

Appendix A
Artifact-Level Coding and Illustrative Examples

Artifact ID Artifact/
Material Type
Period Illustrative Material Description Coded Actions Practice
Category
Participation
Role
A1 Household cleaning routines catalog 1970s Presents household products through repeated daily, weekly, and situational cleaning routines Use products repeatedly; maintain household routines; apply products to recurring problems Use Caretaker
A2 Early product collection/starter materials 1970s Introduces product collections and encourages participants to begin with bundled product sets Select starter products; organize initial product use; learn basic product categories Use/
Advise
Caretaker/
Advisor
A3 Kitchen product demonstration script 1980s Provides step-by-step guidance for presenting product features and making performance visible Present product features; sequence demonstration; show product value Demonstrate Demonstrator
A4 Hosted demonstration event guide 1980s Structures group participation through invitations, discussion, and shared product experiences Invite participants; organize group interaction; facilitate discussion Interact/
Demonstrate
Host/
Demonstrator
A5 Customer needs assessment guide 1990s Guides participants to identify customer needs before recommending products Ask questions; identify needs; interpret problems Diagnose Diagnostician
A6 Diagnostic training framework 1990s Expands needs assessment into structured product-system guidance Classify needs; connect problems to product categories; frame solutions Diagnose/
Advise
Diagnostician/
Advisor
A7 Product bundle recommendation sheet 1990s Connects identified needs to product combinations and solution sets Recommend bundles; match products to situations; guide product choice Advise Advisor
A8 Order coordination and fulfillment form 1990s–2001 Structures order placement, coordination, delivery, and transaction completion Record orders; coordinate fulfillment; complete transactions Facilitate Facilitator
A9 Extended product system guide 1970s–1980s Elaborates product use across multiple product categories and household routines Organize product use; connect products into systems; reinforce repeated application Use Caretaker
A10 Advanced demonstration guide 1980s Standardizes presentation techniques across product lines Present products; compare features; make benefits visible Demonstrate Demonstrator
A11 Group engagement material 1980s Provides guidance for structuring participant involvement in product settings Encourage discussion; invite participation; manage group engagement Interact Host
A12 Extended usage manual 1970s–1980s Provides additional instructions for repeated product application and maintenance Follow use routines; maintain product systems; repeat application Use Caretaker
A13 Needs-based training manual 1990s Formalizes needs identification and problem interpretation Ask diagnostic questions; identify concerns; classify needs Diagnose Diagnostician
A14 Product presentation and recommendation framework 1990s Links demonstration techniques with recommendation guidance Demonstrate product value; recommend product fit; explain benefits Demonstrate/
Advise
Demonstrator/
Advisor
A15 Interaction and ordering guide 1990s Connects participant interaction to ordering processes Engage participants; answer questions; coordinate order steps Interact/
Facilitate
Host/
Facilitator
A16 Product-system assessment guide 1990s Provides structured approach to matching product systems with identified needs Assess needs; align products; recommend systems Diagnose/
Advise
Diagnostician/
Advisor
A17 Expanded recommendation framework 1990s Extends product recommendation into broader solution sets Recommend combinations; explain product fit; guide decisions Advise Advisor
A18 Solution-oriented product guide 1990s Frames products as solutions to recurring needs or usage contexts Interpret situations; recommend solutions; connect products Diagnose/
Advise
Diagnostician/
Advisor
A19 Ordering system instruction sheet 1990s Explains ordering procedures and participant responsibilities in coordinating transactions Place orders; verify selections; coordinate purchase process Facilitate Facilitator
A20 Product access and fulfillment material 1990s Provides guidance on product availability, access, and fulfillment Manage access; coordinate delivery; support transaction completion Facilitate Facilitator
A21 Customer follow-up guide 1990s Guides post-interaction communication and continued engagement Follow up; answer questions; reinforce use and satisfaction Interact/
Advise
Host/
Advisor
A22 Product routine planning tool 1990s Helps participants organize recurring use around routines or product systems Plan routines; maintain product use; reinforce consistency Use Caretaker
A23 Advisory script/consultation guide 1990s Provides language for guiding product choice through consultation Interpret needs; recommend options; guide choice Advise Advisor
A24 Demonstration follow-up material 1990s Connects product demonstration to later interaction and recommendation Review demonstration; answer questions; recommend next steps Demonstrate/
Interact/
Advise
Demonstrator/
Host/
Advisor
A25 Transaction coordination checklist 1990s–2001 Provides steps for ensuring completion of orders and related coordination Confirm choices; coordinate orders; support fulfillment Facilitate Facilitator
A26 Integrated product system guide 2000–2001 Connects use, assessment, recommendation, and ordering into one participation sequence Use products; assess needs; recommend systems; coordinate exchange Use/
Diagnose/
Advise/
Facilitate
Caretaker/
Diagnostician/
Advisor/
Facilitator
A27 Later integrated participation guide 2000–2001 Brings together demonstration, interaction, advising, and ordering support Demonstrate; engage participants; recommend products; facilitate transaction Demonstrate/
Interact/
Advise/
Facilitate
Demonstrator/
Host/
Advisor/
Facilitator

Note: Artifact titles are descriptive labels used to identify the function of each material in the analysis. The table illustrates how individual artifacts were coded from observable actions to broader practice categories and participation roles. The coding supports the study’s analytical progression from materials to practices, from practices to roles, and from roles to coordinated market exchange.

Appendix B
Coding Definitions and Inclusion Criteria

Code/Practice Category Definition Inclusion Criteria Exclusion Criteria Illustrative Evidence from Artifacts Associated Participation Role(s)
Use Routine application of products in everyday contexts. Code when materials show repeated product application, household or personal care routines, maintenance practices, or ongoing product use. Do not code as use when the material only lists product attributes without showing how products are incorporated into routines. Household cleaning routines catalog; extended usage manuals; product routine planning tools. Caretaker
Diagnose Identification and interpretation of needs, problems, or situations that products may address. Code when materials guide participants to ask questions, identify needs, classify problems, or connect situations to product categories. Do not code as diagnose when materials simply describe product benefits without requiring interpretation of user needs. Customer needs assessment guide; needs-based training manual; product-system assessment guide. Diagnostician
Demonstrate Presentation of product features, benefits, or performance in visible and repeatable ways. Code when materials provide scripts, sequences, comparisons, or instructions for showing how products work. Do not code as demonstrate when materials only recommend products without showing how value is made visible through presentation or performance. Kitchen product demonstration script; advanced demonstration guide; product presentation framework. Demonstrator
Interact Organization of interpersonal engagement around products. Code when materials guide invitations, group participation, conversation, discussion, follow-up, or shared product experiences. Do not code as interact when materials involve one-way product description without evidence of social engagement or participant involvement. Hosted demonstration event guide; group engagement material; customer follow-up guide. Host
Advise Recommendation of products, bundles, or solutions based on interpreted needs or situations. Code when materials guide product choice, suggest bundles, match products to situations, or frame recommendations around fit. Do not code as advise when materials present product information without recommendation logic or need-product matching. Product bundle recommendation sheet; advisory script; expanded recommendation framework. Advisor
Facilitate Coordination of access, ordering, fulfillment, or transaction completion. Code when materials guide order placement, transaction coordination, delivery, fulfillment, checkout, or movement from recommendation to purchase. Do not code as facilitate when materials only generate interest or discussion without supporting exchange completion. Order coordination and fulfillment form; ordering system instruction sheet; transaction coordination checklist. Facilitator

Note: Codes were applied to observable actions in the artifacts before being grouped into practice categories and associated participation roles. Some artifacts contain multiple codes when they connect more than one form of participation, such as demonstration followed by advising or advising followed by facilitation.

Entrepreneurial Environment and Culture in Direct Selling Entry Decisions of Hispanic Entrepreneurs: An Acculturation Approach

By SherRhonda R. Gibbs, PhD, Monica D. Guillory, PhD[1], Caroline Glackin, PhD

Background

Entrepreneurship has long served as a pathway for economic integration and acculturation of immigrants in the United States. This study suggests that the unique structure and features of the direct selling channel are particularly appealing to Hispanic entrepreneurs generally, supporting both business participation and acculturation into U.S. society.

Implications for Policymakers

  • Entrepreneurship depends on supportive government, economic, and organizational environments.
  • The Global Entrepreneurship Monitor (GEM) ranked the United States as 5th out of 31 in Total Early-stage Entrepreneurial Activity (TEA) and 16th in Established Business Ownership (EBO), among countries considered high-income economies.
    • Direct selling companies strengthen the entrepreneurial ecosystem by providing:
    • Low-barrier access to entrepreneurship.
    • Structured training, mentorship, and business resources, often in English and Spanish.
    • Entrepreneurial cultures that build self-efficacy and help Hispanic entrepreneurs develop the skills, norms, and networks that support business success and acculturation.

Abstract

Hispanic communities are disproportionately represented in the direct selling channel, yet little is known about the factors influencing direct selling entry decisions among Hispanic entrepreneurs. Drawing on acculturation theory and entrepreneurship literature, this study develops a conceptual model of external factors that influence direct selling entry decisions of Hispanic entrepreneurs and distributors. The literature suggests that supportive entrepreneurial environments and firm cultures may facilitate both entrepreneurial participation and acculturation. For Hispanic entrepreneurs, direct selling may provide opportunities for economic and social mobility while serving as a mechanism for integration into the broader society. The study contributes to the entrepreneurship literature by extending acculturation theory to the direct selling context and offers practical implications for firms seeking to attract and support Hispanic entrepreneurs.

Keywords: direct selling, acculturation, entrepreneurial environment, Hispanic entrepreneurs, entrepreneurial culture, minority entrepreneurship.

Executive Summary

Synopsis

This study examines acculturation and its application for Hispanics in the direct selling channel. With Hispanics constituting 26 percent of U.S. direct sellers (distributors), and the Hispanic population in the United States at 20 percent, there is an opportunity to understand the appeal of the channel to this population.

Methodology

This study analyzes the literature on acculturation theory, direct selling, the entrepreneurial environment, and Hispanics in the United States. It considers the data findings presented in the Hispanic Marketing Survey: Results Report (Gamse, 2016), the underlying data, and the data from the Direct Selling 2025 Growth and Outlook Study (DSEF, 2026). A conceptual model compiles findings from the literature into a viable model.

Results/Findings

Hispanics may become direct sellers for reasons of acculturation, social and economic mobility. Acculturation is more prominent in countries with strong entrepreneurial environments and direct selling entry decisions positively relate to the entrepreneurial culture in direct selling firms.

Conclusion and Implications for Theory, Research, and Practice

Direct selling firms that wish to increase the number of Hispanic distributors should strive to create a supportive entrepreneurial culture with culturally and linguistically specific and appropriate resources that facilitate success in the field salesforce.

Implications for Entrepreneurship Education

The study addresses the application of acculturation theory to Hispanics in the direct selling channel, providing insights into several topics that are not frequently a part of the entrepreneurship literature or the entrepreneurship classroom. While much has been written about minority entrepreneurship, little is known about the go-to-market strategies of the companies in which they engage and the cultural fit. We address the entrepreneurial culture of direct selling organizations, the culturally and linguistically appropriate resources provided for Hispanic distributors, and the national entrepreneurship environment. Entrepreneurship educators can begin to address ethnicity and acculturation in the classroom with more specificity and can discuss the direct selling channel as an entrepreneurial entry option and as a go-to-market strategy. It is important that we discuss entrepreneurial options across the spectrum and provide insights into them.

1) Introduction

Direct Selling is viewed as an attractive entrepreneurial entry point by minorities and immigrants. The direct selling retail channel offers a welcoming culture, low entry barriers, easy access to suppliers and customers, and accessible training programs. The Direct Selling Education Foundation defines direct selling as “a business model that provides entrepreneurial opportunities to individuals as independent contractors to market and/or sell products and services…” (DSEF, 2026). Hispanic communities are disproportionately represented in direct selling, constituting 26 percent of the direct selling salesforce despite being 20 percent of the U.S. population in 2025 (DSEF, 2026). Prior research has suggested that immigrant populations who are disadvantaged in the labor market pursue entrepreneurship (Sequeira & Rasheed, 2006), and the willingness to participate is compelled by the size of the group and encountering adverse environments (Evans, 1989). Plausible explanations for the large participation rates of Hispanic Immigrants and Hispanic Americans in direct selling are: (1) the entrepreneurial environment in these firms provides a means of economic sustainability (i.e., necessity entrepreneurship), and (2) firm culture in direct selling facilitates acculturation.

Acculturation is the “process of cultural and psychological change that takes place as a result of contact between cultural groups and their individual members (Berry, 2004, p. 27).” The acculturation process explains how individuals engage in intercultural contact to achieve desirable outcomes (Berry, 2005). Berry (2005) describes four acculturation strategies employed by immigrants and minorities who choose to engage or disengage with the host country or dominant culture. Strategies include integration, assimilation, separation, and marginalization. There is a growing body of extant literature that has focused on the importance of cultural and ethnic identity in the reasoning behind the selection of acculturation strategies (Williams & Liu, 2023; Forrest-Bank & Cuellar, 2018; Schwartz et al., 2006; Ting-Toomey et al., 2000) and the relationship between acculturation strategies and organizational outcomes of immigrant employees (Williams & Liu, 2023; Gurlek, 2021; Hajro et al., 2019, Hommey et al., 2020).

Marginalized minority communities beleaguered by perceived and practiced inequality may view direct selling opportunities as viable income-producing alternatives to overcome structural barriers which prohibit full integration or assimilation into dominant culture. Immigrants without permanent residency often rely on low wage or informal employment and may view self-employment in direct selling as an opportunity to transition into the host country culture. Gunter (2017) concluded in his study that the average rates of informal business ownership in the Hispanic community was 26.9 percent for Latinos and 14.2 for Latinas. The entrepreneurship literature is surprisingly lean on the topic.

To address this gap, we review acculturation theory, the criteria for strong national entrepreneurial environments, and entrepreneurial culture created by direct selling firms. We further theorized that supportive entrepreneurial environments and firm culture lead to acculturation and direct selling entry decisions. For Hispanic communities in particular, opportunities to develop professional networks and entrepreneurial businesses, yields dual benefits (e.g. self-employment and acculturation) which may explain the higher participation rates in direct selling.

We advance acculturation research in entrepreneurship by conceptually demonstrating how entrepreneurial environments within the context of the direct selling retail channel facilitates acculturation processes. The study specifically addresses the phenomenon of a disproportionate participation rate in direct selling relative to the Hispanic population in the United States. We suggest that the unique structure and features of the channel are particularly appealing to Hispanic immigrants and the general Hispanic population alike.

2) Literature Review/Theory Development Acculturation Theory

Acculturation theory originates from cross-cultural psychology and is applicable in business contexts. The acculturation process occurs when individuals are exposed to culturally different others or move from their home country to reside in another (host) country while navigating sociocultural and psychological changes that occur when transitioning towards the dominant culture (Schwartz, Unger, Zamboanga, & Szapocznik, 2010). While many Hispanic direct sellers have not moved from a home country to a host country, they experience the “otherness” in cultural and linguistic terms. According to Berry (1980), immigrants and minorities are faced with two questions upon arrival to host countries. The questions are categorized as acculturation dimensions. The first dimension refers to maintenance of the heritage culture (i.e., Is it important to maintain my heritage culture?), and the second dimension refers to host culture contact (i.e., Is it important to engage with the host culture?).

Scholars put forth unidimensional and bidimensional models of acculturation which immigrants can adopt in new societies. The unidimensional model infers a bidirectional dependency relationship between an individual’s host culture and heritage culture. The first viewpoint of the unidimensional model holds that the more individuals affiliate with the host culture, the more their affiliation with the heritage culture weakens. The second viewpoint suggests that the more individuals retain their heritage culture, the less likely they are to adopt host country culture (Laroche, Kim, Hui, & Joy, 1996), thus, a commitment to affiliate with the host culture (i.e., viewpoint one) weakens the heritage culture (i.e., viewpoint two). Conversely, the bidimensional model of acculturation posits that individuals’ affiliation with the host culture is largely independent of heritage culture (Berry, 1980). In the bidimensional model, each dimension can be assumed to have predictive power that is independent from the other (Cheung-Blunden & Juang, 2008).

Within each model, individuals pursue one of four acculturation strategies. First, assimilation refers to individuals seeking full participation in the host country by adopting the host country culture rather than their own. Second, separation refers to individuals who retain their heritage culture and avoid participating in the host culture. Third, integration refers to individuals who maintain their own cultural identity while also seeking to participate in the host culture. Fourth, marginalization refers to individuals who refrain from both heritage and host cultures. Marginalists do not acculturate towards either culture. As it relates to entrepreneurship, some authors postulate that integration is the optimal acculturation strategy (Arrighetti, Bolzani & Lasagni, 2017; Dheer, 2014).

Whereas most acculturation research centers on immigrants, a growing number of studies explore the phenomenon among minority groups or in colonial settings where a person’s own culture becomes subsidiary to another because of colonization (i.e., see Seitz, 1998; Cheung-Blunden & Juang, 2008). These studies may examine minorities (i.e., Hispanics, Native Americans, and Blacks) in the United States, or in British colonies and territories (i.e., Hong Kong) where native population culture is subordinate to British culture. Researchers found that in colonial settings, acculturation towards the majority culture resulted in maladaptive implications (i.e., adverse outcomes), and the bidimensional model was more robust in measuring outcomes influenced by psychological stress (Cheung-Blunden & Juang, 2008).

Difficulty with acculturation processes results in psychological maladjustments, or stress. Cheung-Blunden and Juang (2008) purport that when individuals are exposed to two or more cultures, norms, values and languages, acculturative stress occurs, and mental disturbances ensue (i.e., depression, negative affect, and poor academic achievement). Immigrants and minorities experience difficulties with acculturation when attempting an assimilation strategy without fully adjusting to mainstream society. Immigrants may be viewed as “passing” in mainstream society fostering rejection from the heritage culture and lowering self-esteem (Krishnan & Berry, 1992). Similarly, separation and marginalization yielded negative effects and life dissatisfaction resulting in isolation and exclusion (Berry, 1980). Drawing on Berry’s (1997) acculturation framework, many of the entrepreneurship studies have argued that integration — simultaneously maintaining one’s heritage culture while engaging with the host society — provides entrepreneurs access to broader social networks, knowledge, and resources and is generally associated with more favorable adaptation outcomes (Arrighetti et al., 2017; Szapocznik & Kurtines, 1980; Walsh et al., 2022). Immigrants or minorities with bicultural competence possess the attitudinal repertoire to transition between and successfully negotiate heritage and host cultures (Cheung-Blunden & Juang, 2008).

Acculturation perceptions indicate whether or not majority groups react positively to minority groups perceived as adopting an assimilation strategy compared to minorities choosing separation or marginalization (Kosic, Mannetti, & Sam, 2005). Although acculturation perceptions are beyond the scope of the current study, we assume that majority groups react positively to minorities attempting integration or assimilation acculturation strategies. Acculturation psychologists have called for more action-oriented research (Chirkov, 2009) that empowers acculturating individuals and communities, enhances social integration, and improves intergroup relations to better assist immigrant communities and immigrant-assisting organizations (Ward & Kagitcibasi, 2010). Scholars answered this call with contributions examining the components of integration to situate acculturation within social and political contexts (Paloma, Garcia-Ramirez & de la Mata, 2010). Other studies used Ward’s (2001) ABC framework to demonstrate how acculturation can be used to create opportunities for cultural maintenance in group settings (Smith, Smith & Peang-Meth, 2010), or multicultural programs to enhance social engagement (Sakurai, McCall-Wolf, & Kashima, 2010).

Our exploration of acculturation in domestic and entrepreneurial contexts is an appropriate contributive act to Chirkov’s (2009) call for action research. The United States has a rich history of hosting immigrants from every corner of the globe (e.g., Irish, Italian, Jewish, and Asian). Each of these immigrant groups tapped entrepreneurship as a social organizing acculturating mechanism to enter mainstream society. Hispanic immigrants are embarking upon a similar acculturation process into U.S. culture, and Hispanic American culture. Collectively, Hispanic immigrants and Hispanic Americans are swelling the ranks of entrepreneurship and direct selling. To advance the study’s framework on Hispanic direct selling entry decisions using acculturation, we transition the discussion towards the meaningful intersections of entrepreneurial environments, entrepreneurial culture in direct selling, and acculturation.

Entrepreneurial Environment

Entrepreneurship is influenced by relationships between entrepreneurs, enterprises and the environment (Lundström & Stevenson, 2005). Entrepreneurial environments are influenced by factors external to the firm (De Hoyos-Ruperto, Rummager, et al., 2012). Researchers point to institutional agreements, the role of government, economic policy, and country social structure as external factors contributing to the entrepreneurial environment (Lundström & Stevenson, 2005;). Generally, the entrepreneurial environment refers to the economic, social, cultural, and institutional conditions surrounding individuals that influence entrepreneurial cognitions, intentions, and venture creation decisions (Lim et al., 2010; Nguyen & Phan, 2024).

To capture the relative supportiveness of the entrepreneurial environment, the Global Entrepreneurship Monitor (GEM) publishes the total early-stage entrepreneurial activity (TEA) and entrepreneurial framework conditions (EFC) model using a national expert survey (NES) database and macro-variables to capture the extent of entrepreneurial finance, government entrepreneurship programs, entrepreneurship education, and cultural and social norms, to name a few. According to GEM, the entrepreneurial environment “directly influences the existence of entrepreneurial opportunities, entrepreneurial capacity and preferences, which in turn determines business dynamics. Hence, it is expected that different economies and regions have structures and quality of EFCs or different ‘rules of the game’ that directly affect entrepreneurial activity’s inputs and outputs (“What is the National Expert Survey (NES)?”, 2017). GEM ranked the United States as 5th out of 31 in total early-stage Entrepreneurial Activity (TEA) among countries that are considered high-income economies (more than $50,000 GDP per capita), and 16th in the established business ownership (EBO) rate among these same countries (DSEF, 2026).

GEM’s NES database provides information from experts on a particular country’s entrepreneurial framework conditions. EFCs may affect the creation and development of new firms (De Hoyos-Ruperto, Romaguera, et al., 2012), and although EFC factors are traditionally used to assess the entrepreneurial environments of countries, its components can also measure the entrepreneurial culture in SMEs, and the likelihood of new entrants in industries like direct selling. Entrepreneurial culture in firms has a considerable impact on entrepreneurial behavior as societal norms influence the resources individuals have access to and the entrepreneurial activities they undertake (Mueller & Thomas, 2001; Amine & Staub, 2009). Supportive entrepreneurial environments with plentiful economic resources lay the foundation for businesses to emerge, grow and succeed (Shabbir & DiGregorio, 1996; Pennings, 1982). Direct selling firms make concerted efforts to effectuate entrepreneurial cultures that build self-efficacy and promote the concept that entrepreneurial success results in societal integration.

Direct Selling: Definition, Background, and Culture

Direct selling has a long, interesting history in the United States. Direct selling companies use independent sales teams to market products and services, with the benefit of low start-up and overhead costs for distributor entrepreneurs (DSEF, 2017). For many types of organizations, direct selling is also a viable go-to-market strategy. The first organized trade group in the direct selling industry was Agents Credit Association, formed in 1910 for door-to-door salesmen (Taylor, 2012). For many decades, households were visited by representatives of companies such as Fuller Brush, Avon, Charles Chips, and World Book Encyclopedia. Direct selling then transitioned from door-to-door sales toward network selling (person-to-person) and party plans over the years.

According to the Direct Selling Education Foundation’s Growth and Outlook reports, U.S. direct selling retail sales peaked at $42.7 billion in 2021 before softening to $34.7 billion in 2024, which is more consistent with pre-pandemic sales levels. Similarly, the number of full- and part-time U.S. direct sellers decreased from 7.7 million in 2020 to 5.4 million in 2024, reflecting the industry’s post-pandemic adjustment period. Table 1 shows U.S. retail sales and the number of direct sellers. Within direct selling, there are person-to-person, party plan and other companies. The majority are person-to-person or network sales (71.5 percent) wherein a direct seller (representative, consultant, designer) sells directly to her customer. The second most popular method is the party plan (22.4 percent), wherein a direct seller sells to groups of customers in homes, other locations, or through an online party.

Table 1
Direct Sales Statistics

Year U.S. Retail Sales
($ billions)
U.S. Direct Sellers (millions)
2025 $34.2 5.2
2024 $34.7 5.4
2023 $36.7 7.3
2022 $40.5 6.7
2021* $42.7 7.3
2020 $40.1 7.7

Source: Growth & Outlook Reports (2021–2025) Washington, DC: Direct Selling Association.
*Start of the global pandemic

According to the Direct Selling Education Foundation, of the 5.2 million U.S. direct sellers, 73 percent are women, primarily selling person-to-person, in the categories of wellness, services, home and family care/home durables, personal care, clothing and accessories, and leisure/education. Of the 5.2 million business builders, 92.3 percent are part-time workers. Most direct sellers are between 35 and 54 years of age, with the two categories (35-44 years old; 45-55 years old) tying as the largest categories with 23% each.

Direct selling companies need to recruit and retain excellent independent representatives to generate revenues and to grow. Because they do not sell through brick-and-mortar retail stores or wholesalers, these representatives are their go-to-market strategy for the channel. Therefore, direct selling leaders focus considerable attention on the field salesforce. Interestingly, no sales experience is required, and recruitment is primarily through the distributor network. The cost of entry into direct sales is low, at an average of $262 for a starter kit, with 35% of DSA member companies surveyed offering $0 cost in this category (DSEF, 2023) and Direct Selling Association (DSA) member companies offer a 90% buyback of the cost of products and kits, a requirement of the DSA Code of Ethics (DSA 2026).Training, upline mentoring, and performance incentives are typical in the direct selling channel.

In recent years, direct selling firms have reframed, focusing more on the end customer, and creating entrepreneurial cultures with more transparency in the company-distributor-customer matrix (Fleming, 2017). Many direct sellers now track retail customers more carefully, and new strategies have been initiated to help distributors acquire customers, especially after the economic slowdown triggered by the pandemic. However, those in the industry remain optimistic even after the pandemic surge. Stuart Johnson, Chairman and Founder of Direct Selling News wrote, “The direct selling model isn’t a relic. It’s a viable opportunity that is showing signs of growth, particularly in the U.S.” and he further concluded that “Success in the remainder of 2025 and beyond won’t come from maintaining the status quo. It will belong to those ready to build what’s next. The past, my friends, is in the past (Johnson, 2025).” This aligns with an early quote from the World Federation of Direct Selling Associations 2024 report, “The growth potential for direct selling remains substantial, given the continuing desire of people for entrepreneurial opportunities” (Paulk, 2024).

Entrepreneurial Culture in Direct Selling

Differences in firm culture necessitate taking stock of cultural practices in direct selling companies to gain insight into unique entrepreneurial processes that position direct selling distributors for success (Sequeira, Gibbs, & Juma, 2014). Direct selling organizations provide more than materials and training. Each has a unique corporate culture and brand. They expend considerable resources creating and sharing this culture with their field salespeople. Charismatic company founders and leaders often become “larger than life” through their outreach to representatives, dynamic presence at annual gatherings, incentive trips, and social media posts. Direct selling networks, characterized by an inspiration-driven, collaborative atmosphere, promote work styles that support these networks (Bhattacharya & Mehtra, 2000; Biggart, 1989; Crittenden & Crittenden, 2004; Lan, 2002; Merrilees & Miller, 1999; Sparks & Schenk, 2001). Sales meetings are often filled with visible celebration, joy, tears, and pride, complemented by the effusive and expressive behavior exhibited by company leaders and distributors alike (Biggart, 1989). For example, Scentsy holds reunions for their salespeople rather than annual conferences. They are also highly motivational, encouraging representatives to “Swing for the Fences” (Scentsy in 2017). Mary Kay, Inc. is known to treat their “employees, consultants, customers and suppliers as family… ” Mary Kay Ash’s saying on balancing priorities in life, “Faith first, family second, and career third” is still a core company value (Crittenden & Crittenden, 2023, p.361), as evidenced by the Mary Kay consultants who continue to share this motto on their social media today. Rather than creating a fiercely competitive sales environment like those fostered in other personal selling companies, direct selling firms encourage collaboration and supportive environments where coaching and mentoring are encouraged and valued (Biggart, 1989).

Direct sellers in the United States are independent contractors paid commission for sales. Distributors in multi-level marketing organizations earn commissions on sales by individuals recruited as downline distributors. Most direct sellers work part-time, selling inside, or outside the home — in person, or online. Those engaged in party plans sell in other homes, workplaces or neutral settings in a social and entertainment-oriented environment (Peterson & Wotruba, 1996). Direct selling firms perpetuate an entrepreneurial culture that exposes distributors to entrepreneurial training, tools, and professional networking (Peterson & Wotruba, 1996). These practices develop an entrepreneurial mindset among the direct selling salesforce. Direct selling firms teach useful skills on relationship marketing, generating repeat business, and allow distributors to plug into the value chain at any point with access to suppliers, potential customers, physical resources, and virtual selling platforms (Peterson & Wotruba, 1996).

The life of a fully engaged distributor becomes intertwined with the company, its brand, and the lives of other distributors. In fact, Biggart (1989, p. 9) argued that “committed distributors see their work as a superior way of life that embraces political values, social relations, and religious beliefs. It gives them not a job, but a worldview, a community of like-minded others, and a self-concept.” More than this, distributors may come to see themselves as part of a “family” as they engage with the direct selling company and other representatives (Biggart, 1989). Distributors can easily and inexpensively join and exit the companies, yet they often join for the products and stay for the environment (Coughlan, Krafft, & Allendorf, 2017).

The direct selling industry eliminates entry barriers by lowering capital requirements for becoming a distributor, offering free training seminars (face-to-face and online), and developing Spanish-only product brochures and marketing campaigns which target Spanish-speaking distributors and consumers (Gamse, 2016). Even today, access to capital remains a salient problem among minority entrepreneurs. Minority entrepreneurs are still disproportionately denied loans by banking institutions, underfunded by investors, and lack fully developed social networks. Direct selling addresses these issues in its core structure. Like most U.S. businesses, direct selling firms are microcosms of societal entrepreneurial culture and cultural norms. More importantly for minority and disadvantaged populations, distributors integrate spheres of life normally separate in modern society (Biggart, 1989). Children, spouses, and even religious values are brought together in the enterprise. Direct selling draws minority entrepreneurs with a compelling promise of granting status and recognition to workers largely excluded from both in most workplaces (Biggart, 1989). Hence, we propose that:

Proposition 1: Strong national entrepreneurial environments (countries ranked highly on total early-stage entrepreneurial activity and entrepreneurial framework conditions) and entrepreneurial culture in direct selling firms will be positively related to direct selling entry decisions.

Hispanics in Direct Selling

Hispanics are increasingly important players in direct selling channels, both as distributors and as customers, particularly with the size of the U.S. Hispanic population growing exponentially. Because direct selling relies on face-to-face selling and social and family networks, it has shone a light on Hispanics in the salesforce. While the academic literature is essentially silent on the topic, the Direct Selling Association conducted surveys of member companies and their Hispanic distributors in 2016 to learn more about this influential group.

Princess House, Shaklee Corporation, and Gold Canyon are a subset of direct selling companies actively involved in the recruitment of Hispanic distributors and targeting the Hispanic market (Gamse, 2016). Hispanic distributors comprised more than twenty percent of the salesforce for fifty percent of firms targeting Hispanic markets during this time. Many firms had Spanish language materials primarily for marketing and training with replicated websites. Most had Spanish-fluent field leaders (83 percent) and call center staff (73 percent). Among Hispanic distributors, approximately 59 percent were of Mexican ancestry and 10.3 percent were Puerto Rican. This trend has continued. Recent industry reports within Direct Selling News indicate that many direct selling companies are intentionally expanding their efforts to recruit Hispanic distributors (Paulk, 2023). This is a trend that is consistent with demographic and entrepreneurship research on the growing economic influence of the U.S. Hispanic population (Gamse, 2016).

Recent evidence suggests that Hispanic Americans possess strong entrepreneurial orientations and substantial interest in self-employment. Nearly one-quarter of new entrepreneurs in the United States were Latino (Hispanic) (U.S. Department of the Treasury, 2023), and Latino-owned (Hispanic) employer firms increased by 44% between 2018 and 2023 (Steen, 2025). Furthermore, Hispanic workers demonstrate higher rates of self-employment than non-Hispanic workers across all age categories (Gumber and Martinez, 2025), indicating a strong propensity toward working for themselves and pursuing entrepreneurial opportunities. A key finding of the Consumer Trends study is “Hispanics seem to be the minority searching most for meaning and balance in their work yet not always finding it in their current jobs. As they are also the group most intrigued by the idea of working for themselves, direct selling could be a natural fit. (GfK Consumer Life, 2016, p. 100).” In fact, Hispanic-owned businesses have been one of the fastest-growing segments of U.S. entrepreneurship (Donoghoe et al., 2025). Quite possibly, industry strategies to grow its Hispanic salesforce and customer base could continue to spur the adoption of entrepreneurial culture and accelerate acculturation in Hispanic communities.

According to the DSA’s Hispanic Marketing Survey (2016, p.8):

Hispanic people involved in direct selling are more likely to be male, younger, single, have children, live in the West and South, and have less education than non-Hispanic direct sellers. They also provide more positive ratings of their direct selling experience than non-Hispanics. They are more satisfied with the experience and more likely to recommend direct selling to others. Hispanic people involved in direct selling also seem more committed to direct selling as they are more likely than non-Hispanics to work full time and to be satisfied with the amount of money earned for the amount of time spent on their business. They believe the materials provided by their direct selling organizations meet their needs and give high marks to their company for providing materials in languages other than English.

Direct Selling and Acculturation

Albeit scant, entrepreneurial scholars have initiated studies that examine the role of acculturation in entrepreneurship. A single study by Dheer (2014) consisted of a conceptual exploration on immigrants’ introduction and acculturation to a new society, and the resulting impact on his or her entrepreneurial intentions. The study contends that acculturation evokes cognitive outcomes of creativity, innovativeness, a desire for economic and social status excellence, and entrepreneurial intentions. Dheer (2014) notes that biculturals (those individuals who acculturate through integration) are more proficient at recognizing entrepreneurial opportunities when exposed to elements of the host and home culture given their wider knowledge base. Based upon Dheer’s (2014) findings; it stands to reason that if traditional entrepreneurial entry opportunities fail to materialize, direct selling distributorships may be viewed by immigrant and minority groups as a viable entrepreneurial entry point.

For Hispanic entrepreneurs, the attraction of direct selling stems from industry efforts to eliminate structural disadvantages and socially embedded institutional barriers, too great to overcome (Ramirez Bishop & Surfield, 2013; Samli & Molina, 2013; Suárez, 2016). Direct selling firms provide representatives with structured training platforms and other resources, often in Spanish and English, and supportive entrepreneurial environments in which nascent and novice entrepreneurs can quickly test their entrepreneurial acumen and success. Operations and procedures in firms usually reflect the dominant culture’s values, beliefs, and norms, allowing immigrants and minorities to use firm social structures to implement the necessary changes in behavior, attitudes, and cultural norms in pursuit of entrepreneurship. Direct selling firms’ engagement with independent sales representatives is frequent, inspirational, motivational, and heavily reliant on social networks, with a strong sense of family, and branding (Coughlan, Krafft, & Allendorf, 2017; Crittenden & Crittenden, 2004; Dai, Teo, & Wang, 2017).

Hispanic Community and Acculturation

Hispanics are the fastest growing demographic in the United States and the country’s second largest ethnic group. Between 2000 and 2024, the Hispanic population nearly doubled, rising from 35.3 million to 68 million, accounting for more than half of all U.S. population growth during that period (Pina and Martinez, 2025). Hispanics are extremely diverse with regard to race, ethnicity, and culture. Although most Hispanics are from collectivistic countries and cultures, differences abound. Hispanics speak various languages (i.e., English, Spanish, Portuguese), have unique cultural traditions and celebrations, and signature cuisines. A survey on Hispanic entrepreneurs found that many identify more with ethnicity (i.e., Mexican, Puerto Rican, Chicano) rather than race (i.e., White, Black). Acculturation issues may develop from social and cultural differences in Hispanic communities which lead to social and economic disadvantage, stereotyping, and discrimination (Christiansen, 2010).

Diverse ethnicities, subcultures, and environmental conditions obfuscate acculturation in Hispanic communities. Entrepreneurship, however, may be the unifying factor. Suárez’s (2016) study compared Hispanic immigrants and U.S.-born Hispanic entrepreneurs. Suárez found that U.S. Hispanics have higher self-esteem than Hispanic immigrants, and Hispanic immigrants had lower educational levels and greater external locus of control (Suárez, 2016). The preponderance of acculturation research centers on immigrants; however, research findings often relate to minority groups, such as U.S.-born Hispanics, whose subcultures vary from the dominant culture, particularly in ethnic enclaves (Berry, 1997; Cheung-Blunden & Juang, 2008; Seitz, 1998). Certain personal (i.e., self-efficacy) and sociocultural factors (i.e., social recognition, legitimacy) influence the extent to which immigrant and minority groups pursue acculturation (Berry, 1997; Dheer, 2014). These factors not only predict acculturation but entrepreneurial intentions as well (Boyd & Vozikis, 1994; Dheer, 2014). The remarkable connection implies that acculturation may not only act as a determinant for entrepreneurial or direct selling entry but may also interact with certain factors (i.e., race, entrepreneurial environment, entrepreneurial culture, resources offered) to strengthen entry decisions.

As a group, Hispanic entrepreneurs hold more traditional attitudes towards working women, have lower perceptions of mastery, and a slightly greater external locus of control (Ramirez Bishop & Surfield, 2013). Latina entrepreneurs, a relatively disadvantaged group, choose self-employment for non-pecuniary reasons (Lofstrum & Bates, 2009). These findings may indicate an environmental dependency on the part of Hispanic entrepreneurs. Of great interest to the current study is Abebe’s (2012) finding that social factors (i.e., social status and social support) are predictors of entrepreneurial career intentions among Hispanic adults. Direct selling firms provide ample social support and entrepreneurial resources for distributors which could explain why direct selling is attractive to Hispanics.

Collectively, Ramirez Bishop & Surfield (2013), Lofstrum and Bates (2009), and Abebe (2012) allude to theoretical assumptions that social and environmental forces propel Hispanics toward self-employment, for which direct selling is a form. Analogous to Hispanic American entrepreneurs, Hispanic immigrants use transnational entrepreneurship as a means of acquiring material gains, social status, and expanding their middle-class status (Zhou, 2004). Sociocultural transnationalism serves to “forge and sustain multi-stranded social relations that link together their societies of origin and settlement (Basch, Glick-Schiller, & Blanc-Szanton, 1994, p. 6).” A study by Allen and Busse (2016) describe personal and business acculturation as a form of breakout and found that Latino immigrant business owners positioning themselves for breakout initiate casual social interaction with non-Latino residents and customers. The authors purport that Latino immigrants achieve breakout by creating spaces (i.e., restaurants, markets, and retail) of social cohesion, cross-ethnic interaction, encounters and cultural consumption by non-Latinos (Allen & Busse, 2016).

Most Hispanic entrepreneurs rate acculturation as being very positive to their communities and businesses (Samli & Molina, 2013). Samli & Molina’s (2013) strategic model for successful Hispanic entrepreneurship depicts support systems and strategic tools such as the ability to assess the degree of acculturation of Hispanic consumers as prerequisites to success. Prior studies intimate that minorities pursue entrepreneurship due to ‘push’ factors such as social integration, and social and economic mobility (Mavoothu, 2009; Suarez, 2016), giving further evidence of causality between entrepreneurship and acculturation. As a whole, Hispanic populations may view the culture of direct selling as a path to entrepreneurship, and a bridge between the familiar heritage culture, and the unfamiliar host, or dominant culture. Moreover, scholarly discourse alludes to the premise that Hispanics enter direct selling to facilitate acculturation, achieve economic and social mobility, and more often than not, acculturate using integration strategies.

Proposition 2: The availability of Hispanic cultural and linguistic resources from direct selling firms will positively relate to direct selling entry decisions, and moderate the relationship between strong national entrepreneurial environments, entrepreneurial culture in direct selling firms, and Hispanic direct selling entry decisions.

Proposition 3: Acculturation moderates the relationship between direct selling entry decisions of Hispanics in host countries with strong national entrepreneurial environments (ranked highly on total early-stage entrepreneurial activity or entrepreneurial framework conditions), and entrepreneurial culture in direct selling firms. This relationship will hold for bicultural Hispanics who enter the direct selling channel for economic and social mobility and acculturate using integration.

Figure 1 shows the proposed framework of acculturation, entrepreneurial environment and direct selling entry decisions.

Figure 1: Entrepreneurial environment, entrepreneurial culture and acculturation as determinants of Hispanic direct selling entry.Results/Findings

Overall, it was found that acculturation can be useful in explaining direct selling entry decisions of Hispanic distributors. Supportive host country entrepreneurial environments and firm cultures attract individuals to the industry, and social integration through acculturation is a desirable outcome as Hispanic immigrants pursue economic and social mobility with hopes of expanding to the ranks of the middle class. Hispanics’ preferred acculturation strategy seems to be integration, and to a lesser extent, assimilation. Successful acculturation leads to positive psychological adjustment in minority communities, and in large part may have contributed to the relative success achieved by Hispanics in the direct selling industry.

3) Conclusion and Implications for Theory, Research, and Practice

We conducted a thorough conceptual review of three externalities that impact direct selling entry decisions of Hispanics. More specifically, the intersection of acculturation, national entrepreneurial environments and entrepreneurial culture are critical in the distributorship decision, along with an understanding of needed cultural resources. The framework developed advances theory on cross-cultural psychology and entrepreneurial entry in the direct selling channel.

There are several managerial implications for direct selling organizations that leverage both entrepreneurial culture and acculturation processes to improve recruitment, retention, and venture success among Hispanic/Latino entrepreneurs. First, direct selling firms can establish bicultural onboarding and mentorship programs that pair new Hispanic/Latino distributors with successful bilingual mentors. Beyond product and sales training, these programs can provide support in networking, business communication, financial literacy, and relationship building. Such initiatives enable new entrants to maintain their cultural identity while developing the competencies needed to operate effectively in the broader business environment. By reducing uncertainty and increasing access to social capital, these relationships may strengthen entrepreneurial persistence and contribute to long-term business growth. Second, direct selling organizations can sponsor culturally responsive events that connect Hispanic/Latino distributors with the broader business ecosystem. Through bilingual programming, networking opportunities, and workshops on topics such as access to capital, business regulations, digital marketing, and wealth creation, these events can strengthen entrepreneurial self-efficacy and accelerate acculturation by increasing access to professional networks and institutional resources.

Third, direct selling firms can leverage their entrepreneurial culture to create community-based initiatives for Hispanic/Latino entrepreneurs and their families. Programs such as family entrepreneurship workshops, youth entrepreneurship camps, and leadership development activities can build on collectivistic cultural values while connecting participants to broader economic and professional networks. By engaging existing family support systems, these initiatives may strengthen entrepreneurial commitment, improve retention, and enhance social and economic mobility within Hispanic/Latino communities. Collectively, these strategies suggest that direct selling organizations can move beyond traditional recruitment and sales training by promoting entrepreneurial socialization, cultural integration, and economic empowerment.

We believe this study to be a useful starting point for future research on direct selling, entrepreneurship and acculturation in many contexts. A logical next step would be empirically testing and validating the model using direct selling channel salesforce data and extending the model to determine whether acculturation leanings may result in a decision to stay or leave the distributorship.

4) Implications for Entrepreneurship Education

The study addresses the application of acculturation theory to Hispanics in the direct selling channel, providing insights into several topics that are not frequently a part of the entrepreneurship literature or the entrepreneurship classroom. While much has been written about minority entrepreneurship, little is known about the go-to-market strategies of the companies in which they engage and the cultural fit. We address the entrepreneurial culture of direct selling organizations, the culturally and linguistically appropriate resources provided for Hispanic distributors, and the national entrepreneurship environment. Entrepreneurship educators can begin to address ethnicity and acculturation in the classroom with more specificity and can discuss the direct selling channel as a viable option for entrepreneurial entry and integration into dominant culture.


[1]  Corresponding Author


Dr. SherRhonda Gibbs is a Professor of Management and President of Texas College.

Dr. Monica D. Guillory is an Associate Professor of Marketing at Morehouse College.

Dr. Caroline Glackin is the Thomas Family Distinguished Professor of Entrepreneurship at the University of North Carolina Pembroke.

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Improving Direct Selling Outcomes through Application of Predictive Analytics

By Caroline Glackin, PhD and Murat Adivar, PhD

The study applies predictive analytics to data from the 2018 National Salesforce Survey commissioned by the Direct Selling Association. It identifies key factors in salesforce motivation and performance theories studied within Expectancy Theory (Vroom 1964), Herzberg’s (1959) Two Factor Theory, and the job demands and resources model (JD-R) (Bakker and Demerouti 2007). Academic researchers dedicate substantial efforts to studying salesforce motivation and performance, but the power of machine learning has not been applied to direct sellers as independent representatives until now.

By employing supervised learning algorithms for predictive analytics to create models for (1) recruits and (2) existing independent representatives, the study finds that the most crucial factors align with Vroom’s Expectancy Theory (1964), which posits that motivation is influenced by the belief that effort will lead to desired outcomes. For recruits, the key predictors of selling success include allocated time for direct selling, ability to find new customers, gender, and adopting direct selling as a career. Time invested, experience of direct selling, recruitment, tenure, and use of technology are most predictive for top-producing direct sellers. Direct Selling Organizations (DSO) can customize their recruitment, training, and incentives to maximize sales performance by having such analysis for their organizations. This work has the potential to improve the landscape for recruitment, retention, and success.

Literature

DSOs foster an entrepreneurial culture and mindset through entrepreneurial training, tools, and professional networking (Peterson and Wotruba 1996). Crittenden, Crittenden, and Ajjan (2019) state, “Independent distributors are backed by established brands who provide them…quality products, marketing tools, business education, and a wealth of digital resources for professional and personal development.”

Representatives are DSOs’ go-to-market strategy and channel, and revenues depend on successful recruitment, retention, and performance. Because no sales experience is required and recruitment occurs primarily through an independent contractor salesforce, successful selection is essential. With a low entry cost for starter kits (average of $199 per Gamse, 2016), training, mentoring, and performance incentives matter.

DSOs focus on fostering entrepreneurial cultures and offering transparency in the company-distributor-customer dynamic (Fleming 2017). Traditional attitudinal variables like organizational commitment, expectations, satisfaction, and motivation matter (Kim and Machanda 2021). Non-pecuniary benefits, income, personal networks, and autonomy and others influence sellers (Coughlan et al. 2016, Wotruba and Tyagi 1992). These add to the broader sales performance literature.

DSOs have unique brands and cultures, which they share with sellers. This collaborative culture supports networks and promotes teamwork, coaching, and mentoring, rather than fostering competitive sales environments (Bhattacharya and Mehta 2000; Biggart 1989; Crittenden and Crittenden 2004; Lan 2016; Merrilees and Miller 1999). Representatives’ lives are intertwined with the brand and company, finding more than just a job but a community and worldview (Biggart, 1989). They often join for the products and stay for the supportive environment (Coughlan et al. 2016). Research suggests that meeting realistic expectations is more important than overselling for job satisfaction (Wotruba and Tyagi 1992).

The factors identified are like those for salesforces and entrepreneurs. This is logical, considering that direct selling representatives operate as self-employed micro-entrepreneurs with intricately linked relationships to their direct selling companies.

The underlying theoretical frameworks on needs, motivations, and expectations in the literature suggest determinants to examine. While machine learning remains agnostic to theory, classic research continues to add value to the discussion and is incorporated into the framework.

Sales Performance Determinants

We developed a taxonomy to identify key factors influencing direct selling representative performance, such as education, tenure, and experience. Without forming specific hypotheses, our evidence-driven approach highlights determinants like expectations, social benefits, commitment, organizational traits, and personal factors that impact salesforce motivation and performance. See Figure 1 for details.

Figure 1
Salesforce Performance Determinants from the Literature

 

 

Methodology

We created two classification models (Model I and Model II) to predict the sales performance of direct selling salespeople based on the predictors with the highest degree of accuracy (see also Glackin and Adivar 2023). Sales performance is assessed by the salesperson’s reported annual direct selling business net income.

A supervised learning approach in which the outcome is the independent sales representative’s financial performance, dependent on some direct seller-specific inputs is the least biased, strongest method available (Glackin and Adivar 2023; Habel et al. 2024). To attain the goal using supervised learning, we employ the 2018 DSA Salesforce Survey dataset of 6,941 direct selling representatives, including a range of personal factors, experiences, attitudes, and interests. DSOs among the 122 members of the Direct Selling Association distributed the survey. The survey queries on the respondent’s gender, desire to dedicate time to direct selling, capacity to find new clients, motives to become and remain representatives, and numerous other topics. The sample for this study is a subset of the entire dataset of 8,714 entries to incorporate active sales representatives who answered the question regarding net income from direct selling and did not respond “don’t know.”

The survey question regarding net income from direct selling is crucial, as it is used to gauge the direct seller’s financial success (performance) of direct sellers. This question in the survey could be answered with one of 15 income levels between $0 and $400,000. Our exploratory analysis indicates that DSOs should identify the characteristics of direct sellers who earn more than $10,000 annually in net income, which results from data clustering and as the accepted norm for “business builders” in direct selling. Even though this is a modest annual net income for a salesperson, it is a crucial level of productivity for the channel. The direct selling channel generated more than $30 billion in annual revenue, according to an approximate extrapolation of industry sales statistics predicting $40.1 billion in revenue in 2020 from the DSA 2021 Growth and Outlook Report. We construct our target response (“Above$10,000”) as a binary variable by combining 15 levels of the categorical variable.

Utilizing domain expertise and current literature, we tested variables that are readily available to DSOs and can predict the financial success of independent salesforces before and after recruitment. Using the variable selection and dimension reduction tools of our data analytics platform, we excluded the tested predictors that had no measured effect on the models’ precision. We combined the recorded states of the dependent variable into two levels as another dimension reduction strategy. Using best practices, we divided the dataset into training and validation sets, compared machine learning methods on the validation set, and raised the target-level accuracy of the selected classification algorithm by adjusting the classification probability threshold.

In this study, we utilize supervised learning to predict high-performing independent sales representatives before and after recruitment. Our supervised learning task is building classification models that predict the class of categorical responses. The data analysis platform is JMP Pro (by SAS) and requires the selection of suitable machine learning algorithms for classification. We employ the following classification techniques and evaluate probable independent variables to build two classification models: Decision Trees, Boosted Tree, Bootstrap Forest, Logistic Regression, and K-Nearest Neighbors. For superior performance in models, the independent variables with the strongest predictive contribution are employed as predictor variables.

Model I – Classification Model for Recruits

We used multiple supervised learning approaches (i.e., Decision Trees, Logistic Regression, Naive Bayes, K-Nearest Neighbors, and Bootstrap Forest) to identify the optimal model for predicting the success of an applicant based on data knowable at recruitment. We explored 16 independent and 14 underlying variables for model building. Model I intended to predict the direct seller recruits that were most likely to earn an annual net income of more than $10,000 from their efforts. Decision (classification) Trees with a particular profit matrix (connected with the goal response) produced the highest classification accuracy. In this study, 78% of validation data at the target level “Above10K=1” were correctly categorized by Model I with the set probability threshold value of 0.21.

These values can be interpreted as follows: In a scenario where a DSO employs this classification model to choose the top 20% of new representatives expected to net more than $10,000 annually from direct selling, the organization will receive 2.5 more target-level applicants than with “no model baseline.”

Table 1
Model I – Recruitment

Variable Survey Question/Predetermined Response Number of Splits G^2(*) Portion
HOURS_DS How many hours per week do/did you spend on your direct selling business? 6 789.1447 0.6744
ATTEMPT_SELL In a typical month, how many new potential customers do you attempt to sell to? 9 153.5405 0.1312
CAREER Direct selling is a career for me 6 71.2069 0.0609
GENDER Please indicate your gender 6 S1.2537 0.0438
DISCOUNT I get the products at a discount 6 37.5171 0.0321
SOCIAL To meet new people/expand my social circle 4 35.9346 0.0307
SUPP_INC Long-term supplemental income 9 31.487 0.0269

*In the report, G2 (likelihood-ratio chi-square) is twice the [natural log] entropy or twice the change in entropy. In classification trees, the largest G2 value is the dividing criteria. The portion column indicates die percentage of G2 or the sum of squares attributable to the variable (i.e.. portion column shows the contribution of the variable to the model)

Model II: Classification Model – Active Sales Representatives

In this part, we create a prediction model and identify the most relevant elements influencing the financial performance of current (active) direct salespeople utilizing determinants that are only available once a representative is an active independent representative. This model included 35 independent variables with their comprehensive underlying variables.

The outputs are described in Table 2.

Table 2
Model II – Active Sales Representatives

Variable Survey Question/Predetermined Response Number of Splits G^2(*) Portion (* *)
DOWNLIINE q55: What is the total number of independent representatives in your downline? 2214 391.8158 0.2493
HOURS_DS q13: how many hours per week do/did you spend on your direct selling business? 1504 216.9524 0.1380
SALESQUAL q14r4: I have developed a sales team of my own – Please answer the questions below based on your current direct selling experience. 546 176.9932 0.1126
TENURE q19: How long have you represented your company? 2029 130.2316 0.0828
SALESTYPE q38r1: Sales to your customers- Of all the orders you place per month, what percentage are: 1952 128.7537 0.0819
SATIS_DS q2I: How do you rate your actual experience in direct selling? Has it been…? 1389 124.1606 0.0790
MET_EXPECT q20: Now, please think about your expectations when you started direct selling. Has your experience… 1116 90.3898 0.0575
VIDEOCONF q65r5: I use Zoom, Skype, Google Hangouts (or other video conferencing) for business 1184 69.4189 0.0442
CAREER q23r1c2: Direct selling is a career for me 1072 67,2371 0.0428
INC_SATIS q78: How satisfied are you with the amount of money earned for the amount of time you spend on your direct selling business? 1303 62.7765 0.0399
SUCCESS_RCRT q52: In a typical month, how many people do you SUCCESSFULLY recruit? 958 45.0898 0.0287
AGE_GR Age Group 1550 39.6218 0.0252
LATINX q16 (Ethnicity): Are you of Hispanic or Latino origin? 858 28.5079 0.0181

(* *) Portion column shows the contribution of the variable to the model

The indication column “Above10K” is the response to which our analysis is directed. The estimation of the model’s accuracy is based on the misclassification rate across the validation set. Bootstrap Forest and Boosted Tree outperform other supervised learning algorithms with an 88% overall accuracy value. Nevertheless, in terms of target-level accuracy using the default classification probability threshold (i.e., 0.5), Bootstrap Forests performed best with a classification accuracy rate of 50.4% at the target level. We refer to this Bootstrap Model as Model II.

By applying such a model, the direct selling company will have a 3.66 times greater probability of predicting candidates at the desired level than if there were no model.

To interpret these numbers, assume that a DSO uses this model to estimate the top 20% of existing representatives anticipated to net more than $10,000 annually through direct selling. In this situation, the company will have a 3.66 times greater probability of predicting candidates at the desired level than if there were no model.

Results

Recruitment

Using individual data that DSOs may secure before and at recruitment, Predictive Model-I can generate the probability that a new candidate is a preferred prospect because they are appropriate to the target audience of direct sellers who can generate more than $10,000 net annual income from a direct selling business.

Deploying the predictive Model I on a new population can correctly classify almost 78% of candidates to generate a $10,000 annual net income from direct selling. DSOs can apply such a model to identify and recruit the most productive candidates. Even though 88.3% of representatives are part-time, the top performers are interested in devoting their sales time and view direct selling as a career. While only 11% of direct sellers are male, they are more likely to become top performers (34% versus 15%).

We show that if a direct selling company uses Predictive Model I to select the top 20% of new representatives who are predicted to be most likely to generate more than $10,000 annual net income, the company will get 2.5 times more productive candidates than “no model baseline.” Here, no model baseline classifies everybody as belonging to the majority class (e.g., not likely to make more than $10K) in the historical data. While DSOs do not screen recruits, they could use this data to determine the best prospects and design recruitment materials, campaigns, and support systems to optimize performance, as well as creating adaptive learning systems to support incoming recruit success.

If a direct selling company uses Predictive Model I to select the top 20% of new representatives who are predicted to be most likely to generate more than $10,000 annual net income, the company will get 2.5 times more productive candidates than “no model baseline.”

Retention, Growth, and Performance

By using determinants available only after the recruitment of an independent representative, we calculated the likelihood of financial success in Predictive Model II.

This can assist companies to focus on factors that most significantly contribute to the financial success of direct selling representatives to lead to increased company growth and performance. By using a Bootstrap Forest technique, we show that Predictive Model-II can correctly classify 84% of representatives who are more likely to generate more than $10,000 a year. DSOs can develop organizational training and support based on this knowledge.

Predictive Model-II can correctly classify 84% of representatives who are more likely to generate more than $10,000 a year.

Impacts/Discussion

Study outcomes suggest DSOs prioritize recruiting sellers dedicated to building careers (business builders), earning long-term income, and expanding networks. This involves revamping recruitment materials to attract high-quality prospects instead of a broad range of recruits. This approach aims to reduce turnover and resources spent. While ensuring inclusivity, incorporating more male and Latinx representation may enhance sales performance.

DSOs are responsible for retaining and growing their representatives. They must set realistic expectations, create a satisfying environment, encourage product sales, and foster positive experiences within the sales team. Managers should focus on career prospects, recruit customers, grow downlines, and use videoconferencing.

DSOs differ in business models, size, reach, customers, products, missions, and cultures. They can benefit from firm-level predictive analytics and channel-level data insights. However, they should consider the research limitations and improve them with advanced methods.

 


Dr. Caroline Glackin is the Thomas Family Distinguished Professor of Entrepreneurship at the University of North Carolina Pembroke.

Dr. Murat Adivar is a Professor of Management at Fayetteville State University

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What Drives Income, Advocacy, and Retention in Direct Selling? Identity, Fit, and the Role of Age

By Suzanne Altobello, PhD, Caroline Glackin, PhD, and William G. Collier, PhD

Introduction

Direct selling depends on independent representatives who choose to stay, advocate for the opportunity, and help grow the salesforce. Because representatives are not traditional employees, direct selling organizations (DSOs) often win or lose on perceived fit and meaning between the representative and the company, rather than formal supervision. We examined whether identity-related perceptions, such as commitment, shared values, identification, brand meaning and long-term orientation, help to explain three practical outcomes of income, willingness to recommend the DSO/direct selling to others, and likelihood of continuing as a representative.

This research explores how independent sales representatives integrate into the brand and company, and how to strengthen these relationships. Previous studies in the sales literature have examined salesperson/brand identification with the organization and the congruence between personal values and perceived values of the organization, but have not addressed these factors for contract salespeople. This survey was designed for replication and extension of Gammoh et al. (2014) and engaged direct sellers from two organizations.

We modeled three outcomes that matter to DSOs: gross income from sales of products or services by their independent salesforce to consumers (performance), a direct seller’s likelihood of recommending the opportunity to one’s network (advocacy), and a direct seller’s likelihood of continuing to represent the company over the next year (retention). We tested whether these outcomes were predicted by Social Identity Theory constructs including: organizational commitment, salesperson–DSO values congruence, brand distinctiveness, brand attractiveness, salesperson–brand identification, along with long-term orientation (individual planning; respect for tradition). Figure 1 provides brief definitions of our predictors and outcomes.

Figure 1
Predictors and Outcomes in Research Models

Theory and Hypotheses

Social Identity Theory

In practical terms, Social Identity Theory (SIT) helps explain why people work harder and stay longer when they feel they truly belong to a group or organization. Originating in social psychology, SIT argues that individuals define part of who they are through their membership in social groups, such as a company, a brand community, or a sales team (Fiske and Taylor, 1991; Tajfel, 1978; Tajfel and Turner, 1986; Ashforth and Mael, 2024). People tend to see their own group (the ingroup) more positively than other groups (outgroups) (Tajfel et al., 1971). When they believe their group has distinctive and attractive qualities, that pride in membership can boost self esteem and strengthen their desire to stay connected to the group (Fiske and Taylor, 1991). In sales and service settings, this logic underpins related ideas such as organizational identity (Karanika-Murray et al., 2015), moral identity (Itani and Chaker, 2022), perceived inclusion (Chen and Tang, 2018), salesperson brand identification, and salesperson company identification (Gammoh et al., 2014). All of these constructs capture how strongly people feel that “this organization or brand is part of who I am.”

For practitioners, the implication is straightforward: when representatives feel that “this company stands for what I stand for” and “this brand fits who I am,” they are more likely to stay, to advocate for the organization, and to deliver better performance.

Gammoh et al. (2014) and van Dick (2001) describe social identity as having cognitive, evaluative, emotional, and behavioral components. Cognitively, individuals see themselves as part of the group. Evaluatively and emotionally, they feel pride and positive regard for that membership. Behaviorally, they support the ingroup through actions that help and benefit it, such as going the extra mile for customers or defending the brand when it is criticized.

Gammoh et al. (2014) applied SIT to company employed salespeople and showed how these ideas translate into day-to-day performance. They found that when salespeople perceived strong value congruence (e.g., when their personal values matched the values of the brand and the company), they reported higher identification with both. This stronger sense of identity was linked to greater job satisfaction and organizational commitment. In turn, these attitudes were associated with more effective behavioral and outcome performance, including clearer communication and stronger sales results. For practitioners, the implication is straightforward: when representatives feel that “this company stands for what I stand for” and “this brand fits who I am,” they are more likely to stay, to advocate for the organization, and to deliver better performance.

Long-Term Orientation

Long-term orientation in selling captures whether a salesperson is focused on near-term transactions or on the future consequences of today’s behaviors for customer relationships and business outcomes. In sales settings, research suggests that a stronger consideration of future sales consequences, paired with customer-oriented selling, helps explain a salesperson’s long-term relationship orientation and related preferences such as favoring longer-term compensation approaches (Schultz & Good, 2000). Work on salespeople’s “relational time perspective” similarly argues that representatives with longer time horizons tend to set goals differently and rely more on cooperative, problem-solving approaches that support relationship development over time (Macintosh, 2006). More recent sales research also connects salesperson time orientation to outcomes such as sustained effort during a new product launch and customers’ willingness to pay more, highlighting that future-focused selling can matter for both salesperson behavior and customer responses (Agnihotri et al., 2019; Beuk et al., 2014).

Age as a moderator

For direct selling organizations, age is more than a demographic label; it can shape how representatives think about their role, how they relate to the company, and how they behave toward others. DSOs routinely attract people at very different stages of life, from young adults looking for a side income to older adults seeking flexible work in semi-retirement. Although research on how Social Identity Theory operates by age is still limited, several studies suggest meaningful age differences in the behavior component. Matsumoto et al. (2016) find that older individuals tend to engage in more prosocial behaviors, while Lockwood et al. (2021) report that adults aged 55 to 84 are more willing to help others than adults aged 18 to 36. Cutler et al. (2021) show that older adults are especially likely to direct prosocial behaviors toward people they see as members of their own group. In sales contexts, Day (1993) also finds that older salespeople set higher annual sales goals and achieve them just as well as younger colleagues. For DSOs, recognizing these age-related patterns can support more precise recruitment messages and motivational strategies that align with representatives’ life stage and long-term orientation, rather than using a single approach for all age groups.

Method

A quantitative survey was sent via email to independent representatives of two established member companies of the Direct Selling Association. Both companies were similar in product characteristics but differed in overall revenues. All participant responses were anonymous and went directly to the research team. Companies did not have access to any raw, individual-level data.

Measures

The dependent variables in the analysis are each respondent’s gross income from direct selling in the previous year, the likelihood of recommending becoming an independent sales representative to a friend or family member, and the likelihood of continuing to represent the company over the next year. The independent predictor variables included: salesperson/company identification, salesperson/company values congruence, salesperson/brand identification, brand distinctiveness, brand attractiveness, organizational commitment, and long-term orientation. All SIT predictors were measured using established scales from Gammoh et al. (2014). Long-term orientation was measured using the Bearden et al. (2006) scale, which operationalizes long-term orientation at the individual level as two related factors: planning and tradition.

Sample profile

A total of 592 representatives started the survey; 295 respondents had complete data across all predictor and outcome measures. The ages of all current independent sales representatives ranged from 18 to 74, with a mean of 45.81 (SD = 11.24) years, with no significant differences in age between the companies.

Most respondents were between 40 and 50 years old (39.5%) and female (88.3%).

Almost 70% are married, with approximately equal percentages of single (8.2%) and divorced/separated (9.5%) respondents. Most representatives had no children under 18 at home (40.8%), with equal percentages having one (17.4%) or two children (20.8%). Most respondents were not of Hispanic or Latino origin (84.8%) and had attained an associate’s degree or some college (29.9%) or were college graduates (30.6%).

Results

We first estimated separate stepwise regression models for each of the three outcomes.

We used all respondents in these initial analyses and did not separate by age group.

For sales performance (as measured by the respondent’s reported gross income from direct selling), organizational commitment was the only predictor that showed a statistically significant relationship. Representatives who reported higher organizational commitment also tended to report higher gross income from direct selling. None of the other predictors added meaningful explanatory power once commitment was taken into account.

For the advocacy outcome (as measured by the likelihood of recommending the DSO), organizational commitment and salesperson/company values congruence were the only significant predictors. Representatives who felt more committed to the organization and who perceived a stronger match between their personal values and the DSO’s values reported a higher likelihood of recommending the opportunity to others.

For the retention outcome (as measured by the likelihood of continuing as a representative over the next year), salesperson/company values congruence and brand distinctiveness emerged as significant predictors. Representatives who saw a stronger match between their own values and the values of the DSO, and who viewed the brand as meaningfully different from alternatives, were more likely to say that they intended to continue representing the company.

Table 1
Significant Predictors of Direct Selling Outcomes for all Representatives

Outcome Model Fit Significant Predictors β t Sig.
Performance R2 = .018, F (1, 282) = 5.114, p < .025 Organizational
Commitment
.133 2.261 .024
Advocacy R2 = .344, F (2, 281) = 73.69, p < .001 Organizational
Commitment
.405 6.597 <.001
Salesperson/DSO Values Congruence .242 3.935 <.001
Retention R2 = .325, F (2, 281) = 40.858, p < .001 Salesperson/DSO Values Congruence .378 6.195 <.001
Brand Distinctiveness .153 2.500 .013


Age as a Moderator

We then examined whether the patterns just described varied by age group.

Respondents were grouped into three categories: under 40, 40 to 50, and 51 and older, and the regression models were re-estimated within each group. For performance, no variables remained significant once the sample was split by age, so age related differences in income are not interpreted further.

For the likelihood of recommending the DSO, the predictors differed by age group.

Among representatives under 40, those who saw the brand as attractive and who felt strongly committed to the organization were more likely to say they would recommend the opportunity. For representatives aged 40 to 50, recommendation was highest when three elements coincided: they felt that their personal values matched the DSO’s values, they viewed the brand as attractive, and they reported strong organizational commitment. Among representatives 51 and older, a different pattern emerged. In this group, advocacy was higher when they perceived a strong values be match with the DSO, saw the brand as clearly distinctive from others in the market, and the sales rep had a stronger long-term, tradition-oriented outlook. At the same time, those over 50 who perceived the brand as highly attractive were actually less likely to recommend it.

Table 2
Positive and Negative Patterns of Predictors for Advocacy Outcome by Age Groups

Predictor Under 40 40–50 51+
Organizational commitment + +
Salesperson–DSO values congruence + +
Brand attractiveness + +
Brand distinctiveness +
Long-term orientation: respect for tradition +
Long-term orientation: individual planning
Salesperson–brand identification

 

For the likelihood of continuing with the DSO, a similar pattern of age specific drivers emerged, as shown in Table 3. Among representatives under 40, salesperson or DSO value congruence and brand attractiveness were significant positive predictors of continuation intentions. In the 40 to 50 group, brand attractiveness and the long-term orientation dimension capturing individual planning were significant and positive. Retention again looked different for the oldest group of representatives (51+). For older representatives, a strong values match and a clear sense that the brand is unique went together with stronger continuation intentions.

However, in this same age group, those who said that the brand felt very much like “me” and those who saw the brand as very attractive were less likely to say they planned to continue.

Table 3
Positive and Negative Patterns of Predictors for Retention Outcome by Age Groups

Predictor Under 40 40–50 51+
Salesperson–DSO values congruence + +
Brand attractiveness + +
Brand distinctiveness +
Salesperson–brand identification
Long-term orientation: individual planning +
Long-term orientation: respect for tradition
Organizational commitment

Discussion

For performance, organizational commitment was the only consistent driver in the full sample. When the sample was split into age groups, the income patterns were less stable and did not yield clear age-specific drivers. For independent sales representatives in this dataset, sales performance is tied most closely to whether representatives felt a durable bond with the organization.

For the advocacy outcome, across the full sample, recommending the DSO was higher if representatives were committed to the organization and their sense that the DSO’s values matched their own. When we examined advocacy by age groups, organizational commitment mattered for younger and midlife representatives, and values congruence mattered strongly for older representatives (notably, though, brand attractiveness moved in the opposite direction for this group).

For the retention outcome, for all representatives, the strongest pattern for continuing with the DSO was a values match with the DSO plus a belief that the brand is meaningfully distinctive. When separated by age, values congruence remained important for the youngest and oldest groups, while brand attractiveness mattered for the younger and midlife groups. The older representatives in this sample appeared less likely to continue when the brand felt highly attractive or when the representative reported that the brand felt very much like “me.”

Practical Implications and Conclusions

Our results can be applied to existing independent sales representatives and extend to recruitment and onboarding new representatives. The DSO should begin with a shared core that strengthens organizational commitment and clarifies the organization’s values in observable, day-to-day terms; these two levers showed up repeatedly across this study’s three outcomes, and they are also the easiest to standardize across the salesforce.

Figure 2
Age-based Recommendations for Company Training and Onboarding

In Figure 2, we illustrate how the DSO can layer age-guided emphasis without changing the company’s fundamentals. Under 40 messaging and training could lean more heavily on brand attractiveness while quickly converting interest into commitment through early wins for the sales representative, belonging cues, and visible support through their upline. For ages 40–50, training might intentionally combine values fit, attractiveness, and commitment, then reinforce consistency through planning routines that keep the opportunity feasible alongside work and family obligations. For 51 and older, the emphasis could shift toward values congruence and brand distinctiveness, using concrete proof points and a trust-forward message; in this group, leaders should be careful about overreliance on hype or purely aspirational branding because it can work against advocacy and retention.

Figure 3
Proposed DSO Toolkit Architecture

In Figure 3, we propose an overall toolkit architecture that DSO managers and leaders can use in coaching, communications, and recognition. The first toolkit could be a values fit toolkit that includes brief screening prompts during recruiting, a “values in action” onboarding module that shows how values appear in product claims and team norms, and mentor check-ins that surface misalignment early. The second toolkit could be a distinctiveness toolkit that gives representatives a one-sentence “why us” statement, compliant comparisons, and customer stories that make the brand’s difference easy to explain and hard to copy. The third toolkit could be a planning toolkit that provides weekly activity plans, 90-day goals, and pipeline tracking, especially for the 40–50 segment where planning aligned with continuation.


Dr. Suzanne Altobello is the William H. Belk Distinguished Chair of Business Administration and Professor of Marketing at University of North Carolina Pembroke.

Dr. Caroline Glackin is the Thomas Family Distinguished Professor of Entrepreneurship at the University of North Carolina Pembroke.

Dr. William Collier is an Associate Professor of Cognitive Psychology at the University of North Carolina Pembroke.

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Direct Selling Today: Storied Companies and Brands, Millions of Entrepreneurial Americans

By Monica Wood

Direct selling is a go-to-market strategy that is an alternative channel to retail. Individual independent distributors market and sell products and services to consumers in direct selling. The channel allows companies to reach customers through personalized interactions rather than relying on traditional storefronts. It also offers distributors flexible earning opportunities by building relationships and leveraging word-of-mouth marketing.

Some of the world’s most storied companies and recognizable brands market today’s leading-edge products through the direct selling channel – these include jewelry, cookware, nutritionals, cosmetics, housewares, energy, insurance, and much more. By leveraging direct selling, these companies create a more personalized customer experience that highlights product benefits in real-world settings. This approach also allows brands to expand their reach through trusted relationships and community-based engagement rather than traditional retail environments.

The direct selling channel differs from broader retail in how it gets great products and services into the hands of consumers. It’s an avenue where entrepreneurial-minded Americans can represent the products they love, while they work independently to build a business on their own terms. This personalized model allows consumers to engage with products through trusted, one-on-one interactions that traditional retail rarely provides. It also empowers individuals to turn their passion into income by building customer relationships and growing their business at their own pace.

Consultants forge strong personal relationships with prospective customers, primarily through face-to-face discussions and demonstrations. In this age of social networking, direct selling is a strategy that many marketers of consumer products find more effective than traditional channels. By combining personal interaction with digital outreach, consultants can create a seamless customer experience that builds trust and engagement. This hybrid approach allows brands to reach consumers where they are—both online and in their communities—while maintaining the authenticity and connection that drive purchasing decisions.

Millions of Americans from every state, congressional district and community in the United States choose direct selling because they enjoy a company’s products or services and want to purchase them at a discount. Some decide to market the products they love to friends, family, and others and earn commissions from their sales. The most successful consultants may decide to expand their businesses by building a network of direct sellers. This model allows individuals to grow at their own pace, whether they simply want to save money or aspire to build a business. As a result, direct selling attracts a broad mix of people who value flexibility, community, and the ability to shape their own economic futures.

Ninety-two and a half percent of direct sellers decide to work part-time, offering busy parents, caregivers, military spouses, veterans, and others flexibility and work-life balance. As advancements in technology create a new American economy whose foundation is built upon the entrepreneurial spirit and independent work, historically, direct selling has been one of the oldest ways millions of Americans have chosen to work independently—long before the advent of the Internet. Direct selling has a long history of substantially contributing to the economy and supporting the millions of Americans involved.

Its adaptability has enabled the direct selling channel to remain relevant through changing economic conditions, technological evolutions, and shifting consumer behaviors. This longstanding resilience underscores the sector’s role as a reliable pathway for individuals seeking autonomy and economic opportunity.

$34.7 Billion in Retail Sales and 5.4 Million Direct Sellers
Salesforce make up: Direct Sellers, Discount buyers, preferred customers

5.4 million direct sellers have built a full-time business (30 or more hours/week) or part-time (fewer than 30 hours/week) representing a correction after the hypergrowth of the pandemic. These people sell products/services to consumers and may sponsor people to join their team.

34.3 Million Preferred Customers/Discount Buyers

6.8 million Discount Buyers are eligible to purchase, sell and sponsor but currently only purchasing products and services they personally enjoy and receive at a discount.

27.5 million Preferred Customers have signed a preferred customer agreement with a direct selling company where they may be entitled to pay wholesale prices for products and services but are not eligible to sell.

Demographics by gender-27% male and 73% female

Demographics in 2024: Women, Hispanic participation other highlights

The demographic data show that the direct selling population is predominantly female, with women representing 73% of participants, and most individuals fall within the 35–54 age range. Participation spans all age groups, indicating that direct selling appeals to both younger adults seeking flexibility and older adults pursuing supplemental income.

Demographics by raceWhen considering direct seller ethnicity, 19% of participants identify as Hispanic, reflecting meaningful engagement from a key and growing demographic segment.

Sales by Category (2024)

The 2025 Growth & Outlook survey results indicate that service-based offerings have experienced substantial growth and now represent the largest share of sales, highlighting strong consumer interest in digitally enabled and value-added services. Wellness products continue to maintain a significant portion of the market, demonstrating their enduring appeal. Meanwhile, the gradual shifts in product-oriented categories—such as personal care, home and family care, clothing, and leisure—represent opportunities for companies to innovate, reposition their portfolios, and meet emerging consumer preferences more effectively.

State Breakdown of Retail Sales/Salespeople by State (2024)

12.2 million people in the U.S. signed or renewed independent contractor sales agreements with direct selling companies in 2024. Of these 12.2 million, 5.4 million worked to build businesses and 6.8 million were discount buyers who purchased products for their own use but chose not to build a business. These estimated direct sales and people-involved figures are extrapolated based on 2025 Growth & Outlook Survey data submitted directly from DSA members.

State/Territory People Involved in Direct Selling Retail Sales
Alabama 120,971 $446M
Alaska 69,150 $162M
Arizona 231,808 $620M
Arkansas 116,320 $362M
California 1,285,088 $3.9B
Colorado 276,515 $626M
Connecticut 96,649 $284M
Delaware 35,730 $127M
Florida 827,479 $2.2B
Georgia 396,711 $1.1B
Hawaii 53,605 $85M
Idaho 103,444 $246M
Illinois 425,529 $1.2B
Indiana 309,809 $857M
Iowa 204,866 $647M
Kansas 133,993 $353M
Kentucky 142,370 $404M
Louisiana 134,146 $465M
Maine 64,641 $187M
Maryland 195,114 $531M
Massachusetts 140,495 $434M
Michigan 359,404 $0.9B
Minnesota 266,638 $714M
Mississippi 130,921 $616M
Missouri 194,361 $492M
Montana 68,031 $160M
Nebraska 117,414 $344M
Nevada 107,862 $266M
New Hampshire 84,186 $226M
New Jersey 257,016 $762M
New Mexico 81,552 $213M
New York 591,642 $1.9B
North Carolina 410,045 $1.1B
North Dakota 61,152 $188M
Ohio 416,559 $1.0B
Oklahoma 191,781 $459M
Oregon 142,972 $418M
Pennsylvania 395,806 $1.0B
Rhode Island 35,506 $111M
South Carolina 182,085 $470M
South Dakota 66,977 $201M
Tennessee 248,566 $758M
Texas 1,219,347 $3.6B
Utah 190,869 $514M
Vermont 19,937 $72M
Virginia 282,753 $706M
Washington 226,305 $611M
West Virginia 62,501 $175M
Wisconsin 278,227 $816M
Wyoming 39,040 $90M
District of Columbia 8,464 $18M
Guam 7,006 $8M
Puerto Rico 63,550 $544M
U.S. Virgin Islands 1,458 $6M
N. Marian Islands 14 $15M
American Samoa 171 $0.2M
Overseas U.S. Military 4,421 $14M

Looking Forward: What Consumers Think

The direct selling channel remains a viable and strategically significant avenue for companies that prioritize innovation and align their offerings with contemporary consumer expectations. The increasing integration of artificial intelligence is improving the training, development, and empowerment of prospective sales representatives, thereby fostering heightened entrepreneurial engagement across the sector. The continued emphasis on product quality and meeting consumer needs is critical to establishing a strong foundation for sustainable growth. Additionally, as consumer preferences evolve in a dynamic marketplace, opportunities for long-term competitiveness within the direct selling landscape are likely to increase.

 

 

 

Key findings from DSEF 2024 Consumer Attitudes Study – trends moving in Direct Selling’s direction

Entrepreneurial trends show an increase in participation in activities like direct selling, gig work, and online selling. The number of respondents working as direct sellers has tripled since 2008, with 1 in 3 expressing specific interest in the direct selling opportunity.

Key attributes that draw consumers to direct selling include the opportunity to support local businesses, access to distinctive products, and engagement with knowledgeable sellers. Social media continues to serve as an important mechanism for direct sellers to reach prospective customers, despite a decline in its perceived usefulness for maintaining connections and staying informed.

Overall, the study reflects a growing interest in flexible work arrangements, including direct selling. In an effort to enhance its appeal, the channel might consider further leveraging its strengths—such as personalized service, unique product offerings, and a strong sense of community.


Monica Wood is the Vice President of Consumer and Member Insights at Herbalife and Chair of the DSEF Industry Research Committee.

Inspiring Direct Selling Microentrepreneurs: The Passion To Persist

By Dr. Charla F. Brown, Dr. Victoria L. Crittenden, Dr. Joseph F. Hair, Dr. Greg W. Marshall

According to Peterson and Crittenden (2024), relatively little is known about microentrepreneurs, a subset of entrepreneurs who employ a microenterprise business model. While not easily defined given the socioeconomic heterogeneity of those engaged in microentrepreneurial endeavors (Bogenhold & Klinglmair, 2015), Barratt, Goods, and Veen (2020) expounded on this labor market trend of a network of microentrepreneurs who have shifted from dependent employees to their own boss. Zhang, Bufquin, and Lu (2019) attributed nonhierarchical relationships with a company via a platform (e.g., Uber, Airbnb, Taskrabbit) and sales of another company’s products (e.g., Amway, Mary Kay, CUTCO Cutlery) as examples of the trend toward microentrepreneurship.

The microentrepreneurial business model, however, is not a new or recent phenomenon. The peddler model of distribution that set the stage for the large independent workforce in direct selling is an early example of a pre-industrialization microentrepreneurial model (Luce & Crittenden, 2021), with Grinder, Pascal, and Schwartz (2010) noting the peddler model as one of the earliest examples of entrepreneurial marketing. Unlike small business owners, such microentrepreneurs can achieve financial and social affordances without the associated demands of becoming a small business owner. According to Torregrossa (2016), the key characteristics of microentrepreneurs are:

  • They plan to keep their businesses at a manageable size, without the intention to hire employees and/or grow into a larger company.
  • They can begin engaging in trade/exchange immediately without the need for infrastructures, funding, and/or a business plan.
  • They often learn business skills as they go.
  • They measure success in their own ways by balancing income generation with business autonomy, flexibility, long-term self-reliance, and personal well-being.

The characteristics of microentrepreneurs are exhibited in direct selling since the microentrepreneurs are backed by established brands that provide support in building the business and ongoing opportunities for development. Essentially, engaging in direct selling provides the microentrepreneur with a business-in-a-box (Crittenden & Bliton, 2019). Unfortunately, little research has been conducted that examines microentrepreneurs (Peterson & Crittenden, 2024), with traditional human and organizational research focusing attention on the more identifiable employer-employee relationship (Keith, Harms, & Tay, 2019; Meijerink & Keegan, 2019). As such, while the literature suggests that microentrepreneurs need an environment in which identities are nurtured (Barley & Kunda, 2006), there is little effort devoted to exploring human and organizational relationships that exist in the context of a labor-intensive, independent salesforce as found in the context of direct selling. Rather, Barley and Kunda (2006) noted what exists is an “excess of ideology and a dearth of data” (p. 46).

In the direct selling model of microentrepreneurship, training, socialization, and support represent resources provided by the direct selling company to offer a low-risk pathway for an individual to build his or her business. To this end, the current research was guided by the following two research questions:

  1. What resources encourage a direct selling microentrepreneur to persist?
  2. What resources can boost a direct selling microentrepreneur’s passion?

More precisely, guided by the management literature, the research examines how resources (i.e., sales training, socialization, and organizational support) and self-efficacy influence the direct selling microentrepreneur’s passion and persistence. The next section offers the theoretical framework upon which the research project was framed. In that theoretical exposition, hypotheses are derived. The research methods employed to examine the hypothesized relationships are then articulated, followed by the data analysis and a discussion of the analytical results. Implications for those engaged in the direct selling marketplace are then offered.

Theoretical Foundation

This research is grounded in two theories that provide the foundation for considerable work in the field of organizational sciences. Central to the conservation of resources theory is the resources tenet that “individuals strive to obtain, retain, foster, and protect those things they centrally value” (Hobfoll, Halbesleben, Neveu, & Westman, 2018, p. 104). Social cognitive theory provides an understanding for predicting behavior based on learning and change (Bandura, 1986). Self-efficacy is the focal construct of Social Cognitive Theory (SCT) and is defined as “belief in one’s capabilities to organize and to execute the courses of action required to produce given attainments” (Bandura, 1997, p. 2).

Conservation of Resources Theory (COR)

The conservation of resources theory (COR) is substantively a “motivational theory that explains much of human behavior based on the evolutionary need to acquire and conserve resources for survival, which is central to human behavioral genetics” (Hobfoll et al., 2018, p. 104). COR theory is one of the most researched theories in the fields of organizational sciences, being applied in studies ranging from general stress (Hobfoll, 1988) to work-specific stress (Bono, Glomb, Shen, Kim, & Koch, 2013), and burnout (Halbesleben, 2006). In COR, resources are defined as “those objects, personal characteristics, conditions, or energies that are valued by the individual or that serve as a means for attainment of these objects, personal characteristics, conditions, or energies” (Hobfoll, 1989, p. 516).

Hobfoll (1989) categorized resources into the following four resource groupings:

  • Object resources – value based on a condition of their physical nature or the value assigned to them by the individual based on rarity and/or expense,
  • Conditions – relative to the degree they are valued/sought after (e.g., tenure, marriage),
  • Personal characteristics – based on the level of stress resistance they offer, and
  • Energies – more finite (e.g., time, money, and knowledge).

At the heart of COR theory is that people are motivated to protect their resources. COR’s principle of resource investment holds that “people must invest resources in order to protect against resource loss, recover from losses, and gain resources” (Hobfoll et al., 2018, p. 105). In their work, Hobfoll et al. (2018, p. 104) maintained that people “employ key resources not only to respond to stress, but also to build a reservoir of sustaining resources for times of future need.” According to Bono et al. (2013), positive events can accumulate over time to help build resiliency in case of resource loss. From a direct selling perspective, in conjunction with COR, the variables of salesforce training, salesforce socialization, and organizational support are resources that lay the groundwork for the independent salesperson to have a stronger sense of self-worth.

Research Implications

Prioritize Sales Training and Company Connectivity
with Microentrepreneurs

  • A noted strength of the direct selling industry is its established use of technology to foster relationships, enhance product knowledge, and lend company-provided content to support marketing efforts.
  • Direct selling companies can continue to monitor which resources best fit the needs of the sales organization.

Prioritize Intentional Passion-Building

  • Task-specific self-efficacy can be associated as a person’s belief in his or her abilities rather than an individual’s self-esteem or intentions. As such, it can be a predictor of accomplishment depending on whether a person believes he or she can complete the task, and it can be a critical component to summoning the motivation to continue.
  • In this study of direct sellers, microentrepreneurial passion is a tool through which self-efficacy increases the likelihood a direct seller will persist. Operating as a mediator, passion served as a link between task-specific self-efficacy and microentrepreneurial persistence.
  • Direct selling companies should continue to prioritize intentional passion-building within their salesforce.

Passion and Persistence Spur Sales Success,
Build Reservoirs of Resources for Challenging Times

  • The results of this research suggest that microentrepreneurial passion and persistence make a powerful combination that can spur sales success. The results provide support for the mediating role of passion through task-specific self-efficacy to microentrepreneurial persistence.
  • As direct selling microentrepreneurs build reservoirs of sustaining resources for times of future need, they equip themselves to handle future challenges in the marketplace.

Social Cognitive Theory (SCT)

From the SCT perspective, Bandura (1982) proposed four primary ways to increase self-efficacy:

  • Enactive mastery (gaining expertise through task-specific or work-related experience),
  • Vicarious modeling (learning through observation or comparison of others),
  • Verbal persuasion (gaining encouragement from verbal affirmation and/or perceived support), and
  • Emotional arousal (using psychological and emotional states to boost confidence).
  • Enactive mastery captures the experience of task performance. Bandura (1982) declared it the most influential and authentic source of efficacy information. Experience can make a lasting impression. Success can beget success; just as failure can beget failure. Successful experiences can heighten perceived self-efficacy; just as repeated failures can decrease it. As knowledge and skill development increase, task mastery can increase.

Bandura (1982, p. 126-127) defined vicarious modeling as “Seeing similar others perform successfully can raise efficacy expectations in observers who then judge that they too possess the capabilities to master comparable activities.” Learning by such observation “enables people to acquire rules for generating and regulating behavioral patterns without having to form them gradually by tedious trial and error” (Bandura, 1982, p. 19). A competent role model can both share knowledge and information in context of the environment and communicate appropriate strategies to overcome challenging situations.

Verbal persuasion can encourage an individual’s capability beliefs regarding task and/or goal achievement. The influence of verbal affirmation, social persuasion and encouragement can generate enduring increases in self-efficacy beliefs (Anderson & Betz, 2001; Bandura, 1982). Accordingly, Bandura (1982) claimed the persuasive boosts in self-efficacy can direct them to try hard enough to succeed, thereby promote skill development and a sense of personal efficacy. Persuasive efficacy’s impact can be greatest when the encouragement is realistically grounded and is considered reasonable by the individual based on past performance or similar circumstance. What a person believes about their ability can affect what he or she can achieve.

Emotional arousal incorporates an individual relying on their “physical and emotional states in judging their self-efficacy” and can be strengthened in relation to a reduction in stress or anxiety (Bandura, 2012, p. 13). By using psychological and emotional states to boost confidence, an individual can judge their capabilities in relation to the situation and expectation of success.

Self-efficacy research is divided into two categories: general self-efficacy and task-specific self-efficacy. In his meta-analysis regarding self-efficacy and personal selling, Peterson (2020) described general self-efficacy as an overall confidence one has in his or her capabilities, and task-specific self-efficacy as a belief in ability subject to specific tasks or circumstances. He asserted that general self-efficacy is more commonly identified as a fixed personality trait, whereas task-specific self-efficacy can be modified, developed, and changed over time. The sales literature supports the use of task-specific self-efficacy in relation to sales-related outcomes (Brown, Cron & Slocumb 1998; Chowdhury 1993; Sujan, Weitz & Kumar, 1994).

Microentrepreneurial Passion and Persistence

Passion research is central to the entrepreneurial literature. Baum and Locke (2004) were proponents of passion as a means of enabling entrepreneurs to face challenges of uncertainty, resource shortages, surprises, and rapid change. Cardon, Wincent, Singh, and Drnovsek (2009, p. 517) later defined entrepreneurial passion as, “consciously accessible, intense positive feelings experienced by engagement in entrepreneurial activities associated with roles that are meaningful and salient to the self-identity of the entrepreneur.”

Entrepreneurial persistence is the sustained use of goal-directed energy over time (Cardon & Kirk, 2015; Shane, Locke, & Collins, 2003). It requires motivation, confidence, and resilience (Baum, Frese, & Baron, 2014; Shane et al., 2003). The literature utilizes several terms interchangeably when discussing persistence – grit, tenacity, perseverance, and goal-direction (Baum & Locke, 2004; Duckworth, Peterson, Matthews, & Kelly, 2007; Howard & Crayne, 2019; Shane, Locke, & Collins, 2003).
However, even with a toolbox of resources and tapping into emotional sustenance, fulfilling what a direct seller aims to accomplish is not without difficulty. Persistence through difficulty, fueled by passion, might be the difference between accomplishment and defeat. Dale Carnegie spoke to the need for both passion and persistence when he said, “Flaming enthusiasm, backed up by horse sense and persistence, is that quality that most frequently makes for success.”

Conceptual Model

With COR and SCT as complementary, adjoining theories, the hypothesized model in the current research is shown in Figure 1. The three independent variables explored in this study are: sales training, salesforce socialization, and perceived organizational support. Foundationally, SCT explains human functioning through a trio of factors (behavioral, personal, environmental) that can influence a person’s learning experience and capabilities. By operationalizing Bandura’s (1982) four sources of self-efficacy, these three independent variables are argued to serve as predictive vehicles to influence a salesperson’s task-specific self-efficacy while also mirroring the behavioral, personal, and environmental factors identified in SCT. Drawing from principles of COR and SCT, the study reported here investigated the influence of sales training, salesforce socialization, and perceived organizational support on task-specific self-efficacy, and, ultimately, on microentrepreneurial passion and persistence.

Hypotheses Development

Sales Training
Wilson, Strutton, and Farris (2002, p. 78) defined sales training as a “deliberate and formalized accumulation of information, concepts, and skills that are intended to foster competence or enhance the performance of salespeople.” As the direct seller’s sales role expands, so do increasing requirements to “process, internalize, and manage requisite capacities to fulfil their job roles” (Sager, Dubinsky, Wilson, & Shao, 2014, p. 1). Sales training is a program and a process; it is a conduit of information and an organizational channel for communication. Sales training is an investment. As Cummings (2004, p. 26) argued, organizations that “skimp on training, particularly for new sellers, risk losing staff—and sales.”

Numerous scholars (e.g., Attia, Honeycutt, & Leach, 2005; Bradford, Rutherford, & Friend, 2017; Lassk, Ingram, Kraus, & Mascio, 2012; Pelham & Kravitz, 2008; Román, Ruiz, & Munuera, 2002) have conducted research in sales training and its impact. In their meta-analysis, Singh, Manrai, and Manrai (2015) reviewed 56 articles of sales training research spanning from 1985 to 2014. They advocated enhanced sales training skills to be a potential source of a firm’s competitive advantage. The authors pointed to advanced technology, customer relationship management, and globalization as sources of the potential importance of sales training programs, and they asserted the potentiality of productivity and financial gains as reason to view sales training as a firm resource.

Thus, the following hypothesis is offered:

H1: Sales training is positively associated with task-specific self-efficacy.

Salesforce Socialization
As the foundational study regarding socialization in a sales context, Dubinsky, Howell, Ingram, and Bellenger (1986) asserted that successful assimilation of the salesforce was critical to an organization’s overall sales success. Salesforce socialization is a process through which an individual comes to understand behaviors, gains social knowledge, and develops skills associated within an organization’s sales role. This socialization can take place via training, observation, and experience. Sager et al. (2014) claimed that salesforce socialization’s critically important capacity to link goals and behaviors, increase sales job proficiencies, and build beliefs regarding those proficiencies is often downplayed or outright ignored.

As the social aspects of salesforce socialization are expected to increase task-specific self-efficacy through vicarious modeling and verbal persuasion and encouragement via organizational assimilation in microentrepreneurs, the following hypothesis is offered:

H2: Salesforce socialization is positively associated with task-specific self-efficacy.

Perceived Organizational Support
Perceived organizational support refers to the beliefs employees form regarding the “extent to which their organization values their contributions and cares about their wellbeing” (Eisenberger, Huntington, Hutchison, & Sowa, 1986, p. 500). As employees tend to assign humanlike characteristics to their organization, perceived organizational support is filtered through their perceptions of favorable or unfavorable treatment. According to this logic, favorable treatment by the organization equates to an organization’s favor regarding the employee. Conversely, an organization’s unfavorable treatment of the employee signals its disfavor. Further, the humanistic characterization of the organization affects how employees attribute an organization’s intent. Just as in social relationships, there are similarities in the formation of POS regarding an organization’s intent and/or commitment to the employee. Eisenberger et al. (1986) ascribed attributional heuristics on employees’ perception of resources received from the organization as either sincerely/voluntarily given and earned versus resources given through legal parameters or regulatory enforcement. Perceived organizational support is looked upon more favorably if the recipient believes they result from the organization’s voluntary actions as opposed to external constraints (Rhoades & Eisenberger, 2002).

In a meta-analysis designed to evaluate organizational support theory, Kurtessis, Eisenberger, Ford, Buffardi, Stewart, and Adis (2017) reviewed 558 organizational support theory studies based on hypotheses involving social exchange, attribution, and self-enhancement. Generally, the results indicated that perceived organizational support is inherently important in the employee-organization relationship, with positive implications regarding an employee’s well-being and favorable view of the organization. DeConinck and Johnson (2009) examined the effects of perceived organizational support as it related to salesforce turnover in 384 salespeople. The authors found that perceived organizational support positively related to organizational commitment.

As perceived organizational support can encourage salesperson well-being through emotional arousal via reducing work-related stress, providing positive coping strategies for the work environment, and promoting self-enhancement by fulfilling socioemotional needs in microentrepreneurs, the following hypothesis is offered:

H3: Perceived organizational support is positively associated with task-specific self-efficacy.

Microentrepreneurial Persistence
Ahearne, Mathieu, and Rapp (2005) found that a salesperson’s persistence and engagement may increase as self-efficacy increases. Thus, the higher the self-efficacy, the higher the likelihood that a salesperson will be persistent and engage in task-specific sales activities. That is, salespeople are more likely to persist in activities in which they have confidence. With each challenging encounter, salespeople with high self-efficacy develop confidence and a sense of greater competence. Higher levels of confidence can foster a cycle of increased effort and participation as competence increases. Greater levels of self-efficacy can impact an employee’s behavior through an increase in the areas of effort allocation, persistence, and coping strategies when faced with task-related obstacles (Chebat & Kollias, 2000; Srivastava & Sager, 1999). Brown et al. (1998) found that salespeople with higher self-efficacy set higher goals and were more likely to achieve them.

Research has shown self-efficacious individuals tend to take advantage of built-in organizational opportunities. Self-efficacious salespeople manage resources from their organization in anticipatory response to work demands and challenges, finding that higher levels of self-efficacy led to greater focus, competence, and confidence in these individuals performing their work (Mulki, Lassk & Jaramillio, 2008). This is consistent with COR in that salespeople are motivated to build resource reservoirs to equip themselves to handle future challenges. Thus,

H4: Task-specific self-efficacy is positively associated with microentrepreneurial persistence.

Microentrepreneurial Passion
Vallerand, Blanchard, Mageau, Koestner, Ratelle, Léonard, Gagné, and Marsolais (2003, p. 756) defined passion as “a strong inclination toward an activity that people like, that they find important, and in which they invest time and energy.” Forest, Mageau, Sarrazin, and Morin (2011) asserted that passionate activities are more central to the individual’s identity and can, therefore, be expected to have greater personal, positive impact than goals or motivation. Cardon and Kirk (2015, p. 1041) examined the emotions of passion and persistence together, “If we don’t consider passion or other emotions in our research on persistence, then we may be missing a full understanding of drivers of this and other important outcomes in entrepreneurship.”

COR theory discusses a building up of resources as laying the groundwork for positive gain spirals to occur. Recognizing that positive gain spirals can take time to build (Hobfoll et al., 2018) the positive gains inherent in building task-specific self-efficacy may also take time to build. As the positive gains in task-specific self-efficacy serve as resources that can have an impact on microentrepreneurial passion through replenishment via their resource investment, the following hypothesis is offered,

H5: Task-specific self-efficacy is positively associated with microentrepreneurial passion.
As microentrepreneurial passion reflects the consciously accessible, intense positive feelings experienced by engagement in microentrepreneurial activities, the following hypotheses are examined in the research:

H6: Microentrepreneurial passion is positively associated with microentrepreneurial persistence.

H7: Microentrepreneurial passion mediates the relationship between task-specific self-efficacy and microentrepreneurial persistence.
The following section describes how the trio of independent variables was examined as key resources to help promote further resource gain and how these resources contribute to giving direct selling microentrepreneurs the passion to persist with their business-in-a-box.

Research Methodology

The research methodology employed in this project utilized knowledge gained from previous direct selling research conducted by Peterson, Crittenden, and Albaum (2019) and Crittenden, Crittenden, and Ajjan (2019) in which data from direct sellers were derived as clearly and precisely as possible. To this end, a questionnaire was developed that would capture, rigorously and theoretically, the information about the hypothesized relationships and a data collection process was identified. In this section, both the questionnaire design and the data collection process are articulated. Additionally, a demographic overview of the respondents is also provided here.

Questionnaire Design

A survey instrument was developed from items adapted from previously validated scales. In general, the scales were developed originally for companies and/or sales divisions within companies. Thus, minor editing was completed to adapt all scales to a direct selling context. In addition, a limited number of items were added, where appropriate, to update the measures for emerging social media and business analytics topics. Demographic information was also collected.

Sales training was measured using items adapted from four sales training scales and was assessed through the dimensions of perceived sales training climate, perceived sales training effectiveness, and product knowledge. Perceptions of sales training were measurement utilizing Sager et al.’s (2014) three-item training climate scale and four-item organizational support of training scale. Direct sellers’ perceptions of the overall effectiveness of their company’s sales training were measured by Johlke, Stamper, and Shoemaker’s (2002) perceptions of firm training scale. Perceptions of the effectiveness of their company’s product knowledge sales training was assessed using the Wilson et al. (2002). Additionally, three items were added from Rentz, Shepherd, Tashchian, Dabholkar, and Ladd’s (2002) technical knowledge scale. All items were on a 7-point Likert-type scale ranging from 1 (strongly disagree) to 7 (strongly agree).

Salesforce socialization was assessed using the social aspects (i.e., serial and investiture socialization dimensions) from Jones (1986). In addition, several new items were added to extend the queries about socialization in terms of perceived value to the company. Respondents answered on a 7-point Likert-type scale ranging from 1 (strongly disagree) to 7 (strongly agree).

Direct sellers’ perceptions of organizational support were assessed using eight items adapted from Evans, Landry, Li, and Zou’s (2007) sales supportiveness scale. Evans et al. adapted their measure to a sales context from Wayne, Shore, and Liden’s (1997) short-form adaptation of Eisenberger et al.’s (1986) Survey of Organizational Support. A 7-point Likert-type scale ranging from 1 (strongly disagree) to 7 (strongly agree) was used.

Task-specific self-efficacy was measured using items adapted from three self-efficacy scales. Direct sellers’ confidence for selling compared to others was measured using seven items adapted from Jones’ (1986) eight-item self-efficacy scale. Intuitive selling skills assessment was adapted from Sujan et al.’s (1994) seven-item self-efficacy as a salesperson scale. Skills capability assessment was measured using Wang and Netemeyer’s (2002) self-efficacy scale, capturing the confidence level a salesperson has in their capability to do their sales job. A 7-point Likert-type scale ranging from 1 (strongly disagree) to 7 (strongly agree) was used for all items.

Microentrepreneurial passion was measured using 10 items adapted from Cardon, Gregoire, Stevens, and Patel’s (2013) entrepreneurial passion scale. The original scale included 13 items assessing two dimensions (intense positive feelings and identify centrality) across the domains of inventing, founding, and developing. Items were adapted from the domains of inventing, founding, and developing into an overall domain of direct selling. Four items were retained from the original 13-item scale with no adjustments and six items were modified to reflect a direct selling context. Direct sellers responded on a 7-point Likert-type scale ranging from 1 (strongly disagree) to 7 (strongly agree).

Microentrepreneurial persistence was assessed using an adapted version of Howard and Crayne’s (2019) Multidimensional Persistence Scale (MPS). The MPS is a 13-item measure that assesses three dimensions of persistence: Persistence Despite Difficulty (five items), Persistence Despite Fear (five items), and Inappropriate Persistence (three items). Only the Persistence Despite Difficulty and Persistence Despite Fear dimensions were used and adapted to a direct selling context. Responses were on a 7-point Likert-type scale ranging from 1 (strongly disagree) to 7 (strongly agree).

Additionally, to gain a better understanding of how direct selling microentrepreneurs receive training (e.g., in-person versus online) and the hours associated with each type, the following questions were asked: “How many hours of face-to-face (in-person) sales training have you received in the past year?” and “How many hours of online (not in-person) sales training have you received in the past year?” In assessing how often direct sellers engage in digital sales training activities, survey respondents were asked to indicate their frequency of use on a graphical slider bar scale, with 0=Never to 10=Very Frequently/Daily. Digital training tools queried were instructor-led sales training videos, interactive online sales coaching, downloadable sales training kits, and self-selected online sales training courses. Finally, in gauging how often direct sellers utilize digital support tools, survey participants were asked to indicate their frequency of use on a graphical slider bar scale with 0=Never to 10=Very Frequently/Daily. The following digital support tools were included: communicating within direct selling company (e.g., instant messaging, text messaging, blogs, dashboards); interacting within company via private social media platforms; participating in web-based video conferencing (e.g., Zoom, Microsoft Teams, Skype); utilizing downloadable social media content via a mobile device.

As typical in survey work and in particular in previous studies of direct sellers, demographic information was collected regarding education level, gender, race, ethnicity direct selling industry tenure, direct selling hours worked per week, direct selling product category, and direct sales average monthly income.

Data Collection

A sample of direct sellers was obtained by means of an Internet-based survey via the use of Qualtrics. The survey employed standard screening protocols to obtain meaningful data. Initially, the survey included a screening verification question confirming the participant was 18 years of age or older, proficient in the English language, currently engaged as a direct seller, and willing to participate in the study. Participants who did not answer affirmatively were not allowed to continue with the survey.
Following the initial screening question, a rigorous screening protocol was employed to ensure all respondents were involved in direct selling. After clearing the initial, standard protocol screening, the participant was provided an expanded description of the terms “direct selling” and “direct seller.” The expanded description of direct selling and direct seller terms was:

“In this questionnaire, you will see the term ‘direct selling.’ For the purposes of this questionnaire, we consider direct selling to be a business model that provides entrepreneurial opportunities to individuals as independent contractors to market and/or sell products and services, typically outside of a fixed retail establishment. Direct selling includes sales made through one-to-one selling, in-home product demonstrations, as well as online sales. Compensation is based on sales and may be earned based on personal sales and/or the sales of others on their sales team. A ‘direct seller’ is an individual affiliated as an independent contractor with a direct selling company, who 1) sells products/services to consumers, and 2) may sponsor people to join their direct sales team.”

Directly after this description, participants were asked, “Are you currently an independent contractor (i.e., an independent associate) for a direct selling company?” Participants who did not answer affirmatively were not continued with the survey effort. To further screen appropriate direct selling participants, potential respondents were then asked, “How many direct selling companies are you affiliated with?” Possible responses were “I am not affiliated with a direct selling company,” “one direct selling company,” “two direct selling companies,” and “more than two direct selling companies.” Again, participants who answered they were not affiliated with a direct selling company were removed from the survey. Individuals who declared affiliation with one or more direct selling companies were also asked to provide the company’s name. This additional screener served as a manual check to ensure an appropriate sample.

Rigorous participant screening and continual refinement of the Qualtrics sales panel inclusion criterion yielded responses from 42 verified microentrepreneurs engaged in direct selling activities. The demographic characteristics of the sampled group are displayed in Table 1.

Data Analysis

Partial least squares structural equation modeling (PLS-SEM) was selected for this data for several reasons. One, the research objective involved prediction of theoretical relationships in assessing the role of organizational resources and task-specific self-efficacy in influencing microentrepreneurial passion and persistence. Two, PLS-SEM enables the ability to work with non-normal data with sample size challenges. Three, the technique offers the flexibility in assessing higher-order constructs. Specifically, PLS-SEM derives solutions with small sample sizes when models are comprised of many constructs and a large number of items (Hair, Ringle, & Sarstedt, 2011; Hair, Risher, Sarstedt, & Ringle, 2019).

The evaluation of a PLS-SEM model includes a two-stage assessment of first the measurement model, followed by a subsequent evaluation of the structural model (Sarstedt, Hair, Cheah, Becker, & Ringle, 2019). The data were analyzed using the Confirmatory Composite Analysis (CCA) process for partial least squares structural equation modeling (Hair, Howard, & Nitzl, 2020). Smart PLS-SEM 3.0 was used to execute PLS-SEM and assess the measurement and structural models.

The final model, including construct indicators, is shown in Figure 2. To test the hypotheses, the model was assessed for significance and relevance of the path coefficients. Confirmatory composite analysis (CCA) is the recommended approach for assessing PLS-SEM results (Hair et al., 2020). In using CCA, the following analyses were examined: estimates of loadings and significance, indicator and composite reliability, average variance extracted, discriminant validity, and selected prediction metrics, including PLSpredict (Schmueli, et al., 2019). To test the hypotheses, the model was then assessed for the significance and relevance of the path coefficients. Table 2 provides the path coefficients and significance for the hypothesized relations and for training, task specific self-efficacy, and microentrepreneurial persistence as higher order constructs.

In the next section, the results of this data analysis are presented for each hypothesis and for the additional training characteristics for which the respondents were queried that addressed the questions underpinning this research effort:

  1. What resources encourage a direct selling microentrepreneur to persist?
  2. What resources can boost a direct selling microentrepreneur’s passion?

Results

The seven research hypotheses related to how resources contribute to giving direct selling microentrepreneurs the passion to persist with their business-in-a-box are restated here:

H1: Sales training is positively associated with task-specific self-efficacy.

H2: Salesforce socialization is positively associated with task-specific self-efficacy.

H3: Perceived organizational support is positively associated with task-specific self-efficacy.

H4: Task-specific self-efficacy is positively associated with microentrepreneurial persistence.

H5: Task-specific self-efficacy is positively associated with microentrepreneurial passion.

H6: Microentrepreneurial passion is positively associated with microentrepreneurial persistence.

H7: Microentrepreneurial passion mediates the relationship between task-specific self-efficacy and microentrepreneurial persistence.

H1-H3 proposed positive associations between the variables of sales training, salesforce socialization, and perceived organizational support with task-specific self-efficacy. H4 & H5 proposed positive associations with microentrepreneurial persistence and microentrepreneurial passion, respectively. H6 proposed a positive association with microentrepreneurial passion with microentrepreneurial persistence. The summary results of the hypotheses testing are offered in Table 3. The results indicated full support for H1, H5, H6, and H7, marginal support for H4, and no support for H2 and H3.

Of the trio of independent resource variables predicted to help promote further resource gain and contribute to giving direct selling microentrepreneurs the passion to persist with their business-in-a-box, sales training (H1) was the resource most strongly predictive of task-specific self-efficacy. It might be that the small sample size contributed to the lack of support for salesforce socialization and perceived organizational support and is something that deserves further investigation. In terms of sales training, the current data suggest that successful experiences through sales training can heighten task-specific self-efficacy. Through a multi-faceted training experience, a direct seller can be exposed to potential selling situations in a learning environment, observe and emulate others, and receive verbal encouragement lending confidence in selling skills and increasing self-efficacy beliefs.

Sales training programs represent actionable, practical resources that can help propel sales success. In addition to the scale items capturing dimensions of sales training, questions regarding frequency of use of a direct selling company’s digital learning and support tools were included in the survey. Online and/or digital learning tools include use of instructor-led sales training videos, online sales coaching, downloadable training kits, and self-selected online training courses. These tools offer flexibility in online delivery and can be customized to the training needs of a direct seller.

Table 4 shows the means and standard deviations of the responses. Interestingly, there was dispersion in reported frequency of use, with evenly distributed responses on both ends of the scale. This finding can lead to actionable results for the direct selling company. Gaining a greater understanding of which tools are most frequently used can help tailor a company’s digital offering to fit specific salesforce needs.

In similar fashion, survey participants were asked to assess frequency of use of their company’s online and digital training support tools. These support tools included assessing within-company digital communication (e.g., instant messaging, text messaging, blogs, dashboards), within-company social media interaction, participating in web-based video conferencing (e.g., Zoom, Microsoft Teams, Skype), and downloading training/social media content via a mobile device.

The results shown in Table 5 indicate more frequent use of digital support, especially in the areas within-company digital communication and downloading training/social media content. Direct sellers commonly use this path of digital connectedness to foster relationships, enhance product knowledge, and company-provided content to support marketing efforts (Fleming, 2019). These digital support tools can offer a direct selling company connection and training consistency with a remote salesforce.

Once built, via the impact of sales training, task-specific self-efficacy was hypothesized to increase both microentrepreneurial persistence (H4) and microentrepreneurial passion (H5). Of the hypothesized associations, self-efficacy influenced both passion (p<.001) and persistence (p<.02) positively. This pathway of self-efficacy to passion to persistence indicates those who are higher in task-specific self-efficacy are more likely to experience passion for their direct selling activities, thus making them more inclined to persist (Bandura 1982, 1997; Brown et. al., 1998; Cardon & Kirk, 2015; Holland & Shepherd, 2013). As such, a direct selling microentrepreneur’s task-specific self-efficacy perceptions, coupled with persistence in goal-pursuit, represent a potentially important link in influencing direct selling success. However, the relationship between task-specific self-efficacy and persistence in this sample was weak (p < .10).

The discovery illustrates the importance of passion in the self-efficacy to persistence path and strengthens the assertion that passion helps drive the relationship between the two. Cardon and Kirk (2015) reached similar findings using a different conceptualization of entrepreneurial passion (i.e., passion for inventing, passion for founding, and passion for developing). Following a hierarchical regression framework, their results indicated a significant relationship between entrepreneurial self-efficacy and entrepreneurial persistence before passion was entered into the model. Once dimensions of passion were entered, the significance of entrepreneurial self-efficacy either decreased or became non-significant. Positive gains in task-specific self-efficacy serve as resources that can have an impact on microentrepreneurial passion. It could be that passion is increased through resources gained, particularly through sales training and self-efficacy.

Finally, passion was also expected to amplify persistence (H6). Passion and persistence are considered drivers of entrepreneurial action. Cardon and Kirk (2015, p. 1041) examined the critical role of entrepreneurial passion in overcoming the challenges inherent to starting and running a business and stated, “If we don’t consider passion or other emotions in our research on persistence, then we may be missing a full understanding of drivers of this and other important outcomes in entrepreneurship.” In the current research, direct selling microentrepreneurial passion strongly influenced microentrepreneurial persistence. As microentrepreneurial passion reflects the consciously accessible, intense positive feelings experienced by engagement in microentrepreneurial activities, passion serves as the driver of sustained action through persistence. The current study demonstrates such passion-related intentions and behaviors can amplify a direct selling microentrepreneur’s ability to persist.

The final hypothesis (H7) stated that microentrepreneurial passion mediates the relationship between task specific self-efficacy and microentrepreneurial persistence.

As the relationship was marginally significant between task-specific self-efficacy and microentrepreneurial persistence, the hypothesized model was rerun in the absence of passion. Results revealed a strong direct relationship between task-specific self-efficacy and persistence, with a path coefficient suggesting that passion partially mediates the relationship between task-specific self-efficacy and microentrepreneurial persistence. The total indirect effect from task-specific self-efficacy to microentrepreneurial persistence through microentrepreneurial passion was statistically significant and meaningful. These results indicate further support for the mediating role of passion through task-specific self-efficacy to microentrepreneurial persistence.

Implications for Practice

Sales training emerged as an applicable resource in this model of direct selling microentrepreneurial passion and persistence through its influence on task-specific self-efficacy. Sales training is an investment, a program, and a process. As such, sales training can serve as a directive conduit of information as well as a channel of communication with a remote salesforce. Because of its potential to improve company connectivity with microentrepreneurs, sales training can be characterized, beyond salesforce socialization and perceived organizational support, as a crucial direct selling company resource. Direct selling companies should continue prioritizing effort in bolstering their training programs.
Sales training tools can be dispersed virtually and can lessen the distance between a direct seller and the company. Just as respondents in the current research were asked to rate the frequency of use of specific sales training tools and digital support, a direct selling company can employ similar within-company measures. Direct selling companies gain practical insight on company-specific sales training resources routinely used by their salesforce through continually monitoring these training tools and resources. Instructor-led sales training videos, online sales coaching, downloadable training kits, and self-selected online training courses offer flexibility in online delivery and can be customized to the training needs of a direct seller.

A noted strength of the direct selling industry is its established use of technology to foster relationships, enhance product knowledge, and lend company-provided content to support marketing efforts. Technology allows for an actionable approach to bolstering such communication. As digital training and communication efforts offer increased connectivity and consistency with a remote salesforce, direct selling companies can continue to monitor which resources best fit the needs of the sales organization.

In the context of professional selling, perceived task-specific self-efficacy relates to a salesperson’s self-assessment of capability regarding sales-related tasks. Task-specific self-efficacy can be associated as a person’s belief in his or her abilities rather than an individual’s self-esteem or intentions. As such, it can be a predictor of accomplishment depending on whether a person believes he or she can complete the task, and it can be a critical component to summoning the motivation to continue.

In this study of direct sellers, microentrepreneurial passion is a tool through which self-efficacy increases the likelihood a direct seller will persist. Operating as a mediator, passion served as a link between task-specific self-efficacy and microentrepreneurial persistence, highlighting its importance within this context. Cardon, Glauser, and Murnieks (2017) asserted that sources of entrepreneurial passion can be as individual as the entrepreneur and it “provides the fire that fuels innovation, persistence, and ultimate success” (p. 24). Direct selling companies should continue to prioritize intentional passion-building within their salesforce.

The results of this research suggest that microentrepreneurial passion and persistence make a powerful combination that can spur sales success. The results provide support for the mediating role of passion through task-specific self-efficacy to microentrepreneurial persistence. As direct selling microentrepreneurs build reservoirs of sustaining resources for times of future need, they equip themselves to handle future challenges in the marketplace.

Study Limitations

Despite contributions, this study’s potential limitations must be acknowledged. The survey necessitated same-source data that was collected at one time. As this study is a cross-sectional design, there are concerns with common method variance (i.e., variance that is attributable to the measurement method rather than the constructs the measures represent). Actions were taken throughout the data collection process, however, in an effort to reduce the possible biasing influence of common method variance.

Also due to the cross-sectional nature of this study, the ability to draw causal conclusions is a concern. Since the data were collected at one time, there was no temporal separation between independent and dependent variables, thus limiting a causal interpretation. The constructs in this study represent variables that can fluctuate over time. As such, this study’s design may hinder the ability to assess if the changes in one construct led to changes in another. A cross-sectional survey design limits the interpretation of causality. As such, a causal interpretation cannot be applied to this study’s results (e.g., sales training cannot be interpreted as causing increases in task-specific self-efficacy, despite strong evidence of its positive influence).

Another potential limitation is the use of Qualtrics response service instead of collecting data within direct selling companies. Despite extensive description and identification through the initial data request process with Qualtrics, the sample population available in their databases is limited. This opens concerns about whether the participants were current direct sellers. However, several iterations of screening check questions were required to verify participants were indeed actively involved in the direct selling industry. Participants who did not answer affirmatively were not surveyed. As a result of these screens, there is no reason to suspect any deficiencies in the sample.

Finally, this study’s sample size was 42 direct selling microentrepreneurs currently engaged in the direct selling industry. While the sample size fell within the recommended minimum requirements, this number could limit the power to detect significant relationships as well as the ability to reproduce results. For future research, recruiting greater numbers of respondents could add to the study’s ability to detect significant relationships. Additionally, although efforts were made to tailor survey items to the direct selling context, there is still the possibility that survey items may have been too general or irrelevant for the respondents. Going forward, working directly within direct selling companies to refine items and obtain data would allow survey items to be tailored to company-specific programs and processes. This approach would allow the development of survey items that are possibly more meaningful to both direct selling microentrepreneurs and direct selling companies.

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Professional and Personal Benefits of a Direct Selling Experience

By Dr. Robert A. Peterson

Direct selling is simultaneously a channel of distribution and a business model that offers entrepreneurial opportunities for individuals to market and sell products and services, typically outside of a fixed retail establishment, through one-to-one selling, in-home product demonstrations, and/or online. As a distribution channel, direct selling is ubiquitous and, in 2016, touched the lives of an estimated 20.5 million Americans. Individuals are drawn to direct selling for a multitude of reasons beyond a desire to earn a living as a full-time direct seller or to earn extra money or make a special purchase as a part-time direct seller.

The research reported in this Executive Summary documents the impact of a direct selling experience on 14 business and professional skills as well as on 13 personal life skills. A substantial majority of the current direct sellers surveyed, more than three-fourths, agreed that they benefitted from their direct selling experience in terms of improved business and professional skills, and that skills gleaned from a direct selling experience transferred to their personal lives. Moreover, there were significant and positive relationships between self-perceived skill levels and self-perceptions of direct selling success and performance in a non-direct selling job. Findings regarding the impact of a direct selling experience on personal life skills in particular suggest that a direct selling experience can have a powerful influence beyond direct selling per se and, as such, can indirectly contribute to the betterment of society.

Four hundred ninety-five current direct sellers and 465 former direct sellers were surveyed for the present research. Findings from this research have several practical implications for recruiting, training, and retaining direct sellers. These findings and implications are briefly summarized below.

Reasons for Joining Direct Selling Company

Twelve (12) possible reasons why the direct sellers surveyed joined their current direct selling company were investigated.[1] The most frequently stated reason for joining a direct selling company was “I believed that the products are of such value that I wanted to share them with my friends, neighbors, and the public.” Eighty-one percent of the survey participants stated that this was a reason they joined their current direct selling company. The least frequently cited reason for joining a direct selling company was “I wanted a full-time working career;” 35 percent of the direct sellers surveyed gave this as a reason for joining their direct selling company. In general, the reasons for joining a direct selling company can be categorized as “people/social,” “financial” (income/job), and desire for a specific “product.”

The median number of reasons survey participants gave for joining their current direct selling company was seven (7). Thus, on average survey participants stated that seven of the 12 studied reasons were in fact reasons why they joined their current direct selling company. There were no substantive differences across the current direct seller segments studied regarding the number of reasons given for joining a direct selling company.

  • However, of the current direct sellers surveyed regarding their reasons for joining a direct selling company:
  • Males were more likely than females to want a full-time direct selling job (54% versus 31%).
  • Eighty-one percent of the female direct sellers stated that they wanted to purchase their direct selling company’s product(s) at a discount for themselves and/or their family versus 61 percent of the male direct sellers.
  • Fifty-seven percent of the male direct sellers were interested in the recognition that they would receive for their [sales] efforts compared to 39 percent of the female direct sellers.
  • Seventy-two percent of the male direct sellers were interested in enhancing their personal development (i.e., becoming more confident, better business-minded) through direct selling, whereas 53 percent of the female direct sellers stated such an interest.
  • No differences were observed regarding reasons for joining a direct selling company between urban and rural direct sellers, or among direct sellers who had been with their direct selling company for various time periods.
  • Proportionally more millennial direct sellers (46%) than non-millennial direct sellers (28%) joined their current direct selling company because they wanted a full-time working career. Millennials also wanted to feel more at ease in front of other people relative to non-millennials (56% of the millennials so responded as compared to 32% of the non-millennial direct sellers).

In addition, current direct sellers differed markedly from former direct sellers with respect to the number of reasons and the specific reasons given for joining a direct selling company. Whereas 35 percent of the current direct sellers stated that they wanted a full-time direct selling job, only 16 percent of the former direct sellers stated that they wanted a full-time direct selling job. This suggests that direct selling may currently be perceived as more likely to be a career option than it was in the past. Moreover, given that the demographic profile of direct sellers may be approaching that of the United States adult population, the “pool” of potential direct sellers may be expanding.

Skill Improvements Due to Direct Selling Experience

The present research examined 14 business/professional and 13 personal life skills that might be improved or fostered by a direct selling experience.[2] Survey participants were first asked whether they “strongly disagree,” “somewhat disagree,” “somewhat agree,” or “strongly agree” that their direct selling experience was beneficial in terms of improving or fostering each of the 14 business/professional skills. For example, they were asked whether they “strongly disagree,” “somewhat disagree,” “somewhat agree,” or “strongly agree” that “I improved my decision-making skills” (as a consequence of their direct selling experience).

Similarly, survey participants were asked whether they “strongly disagree,” “somewhat disagree,” “somewhat agree,” or “strongly agree” that they had been able to transfer each of 13 skills emanating from their direct selling experience to their personal lives. An example of these skills is “I enhanced my critical thinking ability.” Seven of the skills investigated were included in both the business/professional and personal skill sets studied.

On average, more than three-fourths of the current direct sellers surveyed somewhat or strongly agreed that both their business/professional skill levels improved and that their personal lives benefitted due to skills emanating from their direct selling experience. Consequently, in an absolute sense the current direct sellers surveyed believed that “lessons learned” through their direct selling experience were helpful in both their business/professional careers and their personal lives. Across the seven skills that were common to the business/professional and personal life skill sets, survey participants indicated that the skills they acquired from their direct selling experience were slightly more beneficial to their personal lives than to their business/professional careers.

Even so, despite the high absolute level of overall agreement that a direct selling experience improved or fostered skill levels, perceptual differences did occur between male and female direct sellers. With respect to business/professional skills that were believed to have been improved due to a direct selling experience, proportionally more male direct sellers than female direct sellers believed that their sales skills had improved (88% versus 77%) and that they undertook more [business-related] initiatives (87% versus 73%).

With respect to skills applicable to a direct seller’s personal life, self-perceptions of the eight skills listed below significantly differed between male and female direct sellers, with male direct sellers proportionally more likely than female direct sellers to believe that improvements in the eight skills studied occurred because of their direct selling experience:

  • Enhanced critical thinking ability (88% versus 74%)
  • Better at coping with and managing stress (85% versus 69%)
  • Better at problem solving (90% versus 76%)
  • Feel more at ease in front of an audience (84% versus 71%)
  • Better at time management (87% versus 77%)
  • Improved entrepreneurial skills (90% versus 78%)
  • Improved decision-making (87% versus 78%)
  • Better at managing finances (83% versus 73%)

Differences between male and female direct sellers with respect to their reasons for joining a direct selling company and the skill levels gained from a direct selling experience suggests a variety of managerial implications. Additional research is required to understand motivations underlying said differences as well as their implications. For example, direct selling companies might consider instituting, emphasizing, and/or communicating different recruiting, training, and retention programs for men and women.

There were no significant differences in self-perceived skills between urban and rural direct sellers or among survey participants with different lengths of time working with their current direct selling company. Similarly, there were generally no significant differences between millennials and non-millennials with respect to self-perceived business/professional skill levels resulting from their direct selling experience.

However, three self-perceived skills differed between millennials and non-millennials in the context of their personal lives. Proportionally more millennials than non-millennials agreed that their direct selling experience improved their decision-making skills (86% versus 78%), helped them improve their interpersonal relationships (87% versus 75%), and made them more able to cope with and manage stress in their personal lives (81% versus 70%). These differences suggest that consideration be given to creating different recruiting, training, and retention programs for millennials and non-millennials analogous to those for male and female direct sellers. Moreover, similar to the male and female direct seller differences observed, differences between millennials and non-millennials should be subjected to additional research.

In an absolute sense, a majority of all direct sellers studied, current as well as former, believed that both their business/professional and personal life skills were improved by their direct selling experience. From a relative perspective, though, current direct sellers believed that their direct selling experience improved all of the business/professional and personal life skills studied to a significantly greater degree than did former direct sellers. Moreover, self-perceived skill level differences between current direct sellers and former direct sellers were in general greater for personal life skills than for business/professional skills. For example, the largest difference between the two groups occurred for the self-perceived personal life skill “I am better at interpersonal relationships.” Seventy-nine percent of the current direct sellers somewhat or strongly agreed with this skill statement as compared with 52 percent of the former direct sellers who somewhat or strongly agreed with the statement. Such differences in perceptions may reflect better company training programs now than in the past, differences in the demographic makeup or motivations of the two groups, or a combination of differences in training programs and the demographic makeup or motivations of the two direct seller groups. Additional research is recommended.

Direct Selling Success

Survey participants were asked, “How successful do you consider yourself compared to other independent contractors in your direct selling company?” Based on a 7-category rating scale anchored by “much less successful” and “much more successful,” 45 percent of the survey participants who were current direct sellers rated themselves as successful (i.e., they responded “5,” “6,” or “7” on the scale). Using the same approach, only 25 percent of the former direct sellers considered themselves successful direct sellers. As before, this perceptual difference may be due to better company training programs now than in the past, differences between the two groups—including actual success—or both company training and direct seller characteristics. Indeed, to the extent that perceptions reflect reality, the self-perceived performance of former direct sellers may be a reason they left direct selling.

Responses to each of the 27 business/professional and personal life skill statements were significantly and positively related to responses to the self-perceived success scale (p<.001) for the current direct seller sample. Similarly, summary indices of business/professional and personal life skill responses respectively correlated significantly (p<.001) with self-perceived direct selling success. This means that survey participants who believed their direct selling experience improved their business/professional and personal life skills also believed they were more successful direct sellers than other direct sellers in their company. Again, if perceptions reflect reality, this implies that a direct selling company should target skill improvements during recruiting and training since doing so should benefit the company financially and its direct sellers both financially and personally.

Performance in Non-Direct Selling Jobs

Eighty percent of the survey participants who were current direct sellers stated that they also had a job other than direct selling. (This reinforces the conclusion that direct selling tends to be a part-time pursuit.) These survey participants (and former direct sellers surveyed) were asked whether they agreed or disagreed with the statement, “Because of my direct selling experience, I perform better in other, non-direct selling jobs,” using a 4-category rating scale ranging from “strongly disagree” to “strongly agree.” A substantial percentage of the survey participants who were current direct sellers and who held a non-direct selling job—84 percent—noted improved performance due to lessons learned through their direct selling experience. As might be expected, given differences in reasons for joining a direct selling company and self-perceived skill levels between current and former direct sellers, the percentage of current sellers (84%) believing their direct selling experience helped them perform better in a non-direct selling job was significantly larger than the corresponding percentage (66%) observed for former direct sellers. Likewise, proportionally more male direct sellers (90%) than female direct sellers (80%) believed their direct selling experience helped them perform better in a non-direct selling job.

Self-perceived performance in a non-direct selling job was significantly and positively correlated with self-perceptions of direct selling success. In addition, survey participants holding a non-direct selling job also believed that skills emanating from their direct selling experience improved their performance in their non-direct selling job. Moreover, survey participants who stated that one reason for joining a direct selling company was to improve their personal development (i.e., become more confident, better business-minded) also believed that skills emanating from their direct selling experience enhanced their performance in a non-direct selling job.

Finally, each of the 27 business/professional and personal life skills studied was significantly and positively correlated with perceived performance in a non-direct selling job. This finding corroborates the suggestion that a direct selling company target the improvement of skills of its direct sellers since doing so is beneficial to both the company and its direct sellers. When recruiting direct sellers, a company can communicate that even if a direct seller does not remain in direct selling, he or she can obtain skills that will improve performance in a non-direct selling job. Simultaneously, individuals considering a direct selling job may use that job to gain valuable skills that can be applied in a non-direct selling job as well as in their personal lives.

In brief, a substantial majority of the current direct sellers surveyed in this research—more than three-fourths of the individuals surveyed—agreed that their direct selling experience improved their skill levels for 14 business/professional skills and 13 personal life skills. Self-perceived skill levels were in turn related to perceptions of direct selling success. To the extent that current direct sellers believed that their direct selling experience improved their skill levels, they also believed that they were more successful than other direct sellers in their company.

Additionally, those direct sellers surveyed who also held a non-direct selling job believed that their direct selling experience improved their performance in this non-direct selling job. And, analogous to self-perceived direct selling success, the more direct sellers believed that their direct selling experience improved their business/professional and personal life skills, the better they perceived their non-direct selling job performance to be.

While these direct selling experience-related benefits existed across all direct sellers surveyed, certain groups of direct sellers (i.e. male direct sellers or millennial direct sellers), appeared to differ in the benefits gleaned from their direct selling experiences. As such, based on the present research, a direct selling experience can lead to personal as well as societal benefits that go beyond the economic value of direct selling per se. At a minimum, the present results suggest that an individual’s perceived self-efficacy can be enhanced due to a direct selling experience. Read full paper →

[1] See the DSEF report “Professional and Personal Benefits of a Direct Selling Experience” for a list of all reasons studied.

[2] See the DSEF report “Professional and Personal Benefits of a Direct Selling Experience” for a list of all skills studied.

 

Join, Stay, Leave: A Study of Direct Selling Distributors

By Dr. Anne T. Coughlan, Dr. Manfred Krafft, and Dr. Julian Allendorf

This paper uses a unique dataset of over 13,000 individual direct selling distributors from dozens of firms, at a wide variety of stages in their direct selling experiences, to investigate the motivations to join, stay, and leave a direct selling distributorship. We build on the literatures in sales force management and compensation, economics, organizational behavior, psychology and sociology to develop hypotheses both about each of these key decisions a distributor makes, as well as the interlinkages among the join, stay, and leave junctures in the distributor’s life cycle. Our analysis shows that many insights from these underlying academic research paradigms are robust to the direct selling situation, while others are not supported—suggesting that direct selling has many parallels, but is not a replica of, other non-direct-selling sales channels.

We find that individuals join as direct selling distributors for a variety of reasons, many of which combine multiple aspects of direct selling that a cluster of distributors finds attractive. Only a small proportion of joiners sign up purely for personal consumption of the direct selling firm’s products—but a great majority do join for this and other reasons as well. We further find that stated reasons for joining are frequently replaced by other motivations for staying as a direct selling distributor, consistent with the idea that distributors join without always knowing what direct selling will offer to them; they learn in the process of doing it. We also link certain traits as well as certain joiner and stayer types to the likelihood that a distributor will leave the firm; but interestingly, we do not find that a distributor’s reasons for joining have a relationship with his/her likelihood of leaving. Thus, the join/stay/leave life cycle path does show linkages from each stage to the next, but its failure to directly link join reasons to likelihood to leave is consistent with the learning that naturally occurs as distributors develop. Read full paper →

Managerial Implications:

  • Keep it easy, inexpensive to join, & easy to leave.
  • Poll your new distributors to learn their join-type and cultivate those who identify as social sellers and enthusiasts.
  • Communicate realistic expectations, do not over-promise—important for both “stay for business+social” and for “low intention to leave” distributor types.
  • There are many reasons for joining, staying
    and leaving.
  • Clearly communicate Rules of Conduct—direct ship has made inventory loading much less likely.
  • Poll stayers for signs of intention to leave because nature and nurture are both at work.
  • Invest in training/mentoring distributors in skills that increase productivity and retention: selling, landing new customers, recruiting/mentoring.
  • Cultivate financially successful stayers (retail sellers, income earners) à lower turnover.

Policy Implications:

  • Not all motivations are financial—there are many reasons for joining, staying or leaving a direct selling company.
  • Policy requirement to offer “preferred customer” status isn’t inherently good: most do not join solely for product discounts, but most do mention product discounts as one benefit.
  • Allow flexibility in ability to enjoy different direct selling distributor roles, at any given time across distributors and over a given distributor’s life cycle (social, not just income, can connote “success”).
  • Turnover is not diagnostic of poor performance or pyramid scheme threat—turnover is most likely in first year, when “learning on the job” about one’s fit with direct selling happens.
  • Judging a direct selling company by distributor income, “losses,” or turnover is not diagnostic of viability of business—even leavers do not uniformly blame the company.