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Salespeople’s unethical behaviors have been the subject of extensive academic research and practitioner outcry. High pressure, complex selling environments and extant methods of monitoring, control and compensation of salespeople have been found to lead to short-term sales behaviors, such as lying, that are detrimental to both customers and firms in the long run. Furthermore, work and family pressures can lead to unethical sales behaviors. However, research on the impact of the social environment on unethical behaviors in sales is scant. This study aims to examine the impact of social factors (e.g. supervisor support and family work support) on salespeople’s unethical behaviors as a social exchange process in an emerging market context where work and family pressures are high. Specifically, the mediating role of emotional and cognitive engagement on the relationship between social support and unethical behaviors is investigated.

An empirical study was conducted to examine the relationship between social support (family work support and supervisor support), engagement (emotional and cognitive) and unethical behaviors. Survey data were collected from 496 salespeople from multiple industries in India, and partial least squares structural equation modeling was used to test the hypothesized relationships. In addition, post hoc qualitative interviews were conducted with 15 salespeople to corroborate the findings.

Supervisor support is positively related to emotional and cognitive engagement and negatively related to unethical behaviors. Contrary to our hypothesis, family work support is positively related to unethical behaviors. However, this relationship becomes negative when the salesperson is emotionally and cognitively engaged with their work.

This research enhances the understanding of the antecedents of unethical behaviors in sales. Supervisor support, emotional engagement and cognitive engagement reduce unethical behaviors. However, family work support increases unethical behaviors. The relationship between social support (supervisor and family work) and unethical behaviors is mediated by emotional and cognitive engagement. These findings offer sales managers dealing with increasing work and family pressures and the blurring of personal and professional life a way to motivate their sales force to act in a manner that benefits customers and the firm in the long run.

The findings offer insights on how sales managers and organizations can help design supportive work environments for their salespeople to help reduce unethical behaviors. The findings also highlight the importance of understanding salesperson family values during the hiring process and keeping salespeople engaged, especially while they work from home, are isolated from their work environment and spend more working hours at home with family members.

To the best of the authors’ knowledge, the current research is the first to investigate the impact of family work support on unethical behaviors. This is timely and valuable as the current COVID-19 pandemic has increased the number of salespeople working from home, reduced sales performance and increased anxiety due to economic uncertainty, all of which could encourage unethical sales behaviors. This paper is also the first to investigate the mediating role of engagement on the effects of social support on unethical behaviors.

The purpose of this paper is to conceptualize the notion of thin crossing points from a social network perspective and to outline the concrete networking strategies that enable salespeople to foster mutually valuable resource exchange (i.e. to thin crossing points) across a selling ecosystem.

The authors integrate extant theoretical perspectives to advance a conceptual framework of sales-related networking across three key actors in a selling ecosystem: intraorganizational selling actors and actors in customers and external partner organizations.

Thin crossing points are defined as figurative transaction points at the boundary between organizations or organizational subunits at which actors engage in mutually valuable resource exchange in the process of value cocreation. To thin crossing points with key ecosystem actors, salespeople must adapt networking strategies considering the time and trust constraints inherent in a network relationship. Such constraints inform the most advantageous network centralities (degree, eigenvector and betweenness) and actions to impact key network properties (tie strength, contact diversity) that enable salespeople to efficiently develop social capital and thus to optimally thin crossing points across a selling ecosystem.

To the best of the authors’ knowledge, this study is the first social network-based exploration of salespeople’s role in thinning crossing points with key ecosystem actors. It advances a novel conceptual framework of sales-related networking strategies that foster social capital development and optimally thin crossing points across a selling ecosystem.

The purpose of this study was to use the Lussier (1995) generic success versus failure (S/F) prediction model to develop a real estate industry specific model (S/F = f[industry experience, age, advisors, planning, capital]). Using logistic regression analysis, the Lussier model (p = .028) and the real estate agency model (p = .001) are significant predictors of business success and failure. The Lussier model accurately predicted 84 percent of the surveyed successful and failed matched pairs agencies as being successful or failed and the real estate model predicted 74 percent. The Lussier model explained 68 percent of the variance of contributing factors to success versus failure and the real estate model explained 56 percent. Implications are discussed.

This study contributes to answering the question, can critical success factors of small businesses in emerging markets advance United Nation (UN) Sustainable Development Goals (SDGs)? Specifically, this study aims to explore the critical factors contributing to the success of small businesses and ultimately the UN SDGs in the emerging market of Nigeria.

The design is survey research testing the Lussier success vs failure prediction model for small businesses in Nigeria. The methodology includes a logistic regression model to better understand and predict the factors that contribute to success or failure using a data set of 201 small businesses in Nigeria.

The findings support the validity of the Lussier model (p = 0.000) in Nigeria as the model accurately predicted 84.4% of the small businesses as successful or failed with a high R-square value (R = 0.540). The most significant factors (t-values < 0.05) that predict the success or failure of businesses support the findings that business owners that start with adequate capital, keep records and financial controls, use professional advice, have better product/service timing, and have parents who own businesses can increase the probability of success.

The study provides a list of critical success factors contributing to the growth of small business in Nigeria, the largest economy in Africa. The findings can help entrepreneurs avoid failure and advance UN SDGs 1, 2, 8 and 10. Implications for current and future entrepreneurs, public agencies, consultants, educators, policymakers, suppliers and investors are discussed.

This is the first study to determine the factors that contribute to the success or failure of small businesses in Nigeria using the Lussier model. It also discusses how to advance four of the UN sustainability goals. Results support the Lussier model's global validity that can be used in both emerging and developed markets, and it contributes to the development of theory.

The aim of this study is to examine the factors that lead to success or failure of a small business in the West Bank of Palestine.

This study methodology is a survey research, testing the Lussier model of business success and failure with a sample of 246 small businesses (90 failed and 156 successful) to better understand the reasons of their success or failure using logistic regression statistical analysis.

The model is significant (p = 0.000); it will predict a group of businesses as successful or failed more accurately than random guessing 99 per cent of the time. The model will also predict a specific small firm as successful or failed 94 per cent of the time vs. 50 per cent for random guessing. The r-square is very high (r = 0.70), indicating that the model variables are, in fact, significant predictors of success or failure. Results indicate that having adequate capital, keeping good records with financial controls, making plans and getting professional advice on how to manage the firm are the most important factors for the viability and success of small businesses.

With the high rate of small business failure globally, results of this study provide a list of variables that contribute to the success of small firms. Firms that focus on these important factors will increase their odds of success. Thus, avoiding failure, firms better utilize resources that contribute to economic growth.

This is the first study that looks at success and failure of small businesses in Palestine. There is no one single accepted theory that may be applied to small businesses. This paper aims to further contribute to the global validity of Lussier success and failure model moving toward a theory to better understand why some businesses succeed and others fail.

This research aims to deal with the interdisciplinary field of teamwork in entrepreneurial ventures. Its purpose is to advance the knowledge of investors' perspective with regard to high technology entrepreneurial teams. Prior studies suggest that teamwork affects new venture performance. However, only little evidence with conflicting conclusions was found in prior research regarding the importance investors lend to founders' teamwork as part of their evaluation criteria of founders' human capital.

The importance of the teamwork factor on new venture performance was measured by meta‐analysis of 27 previous studies which shows that founders' teamwork takes the fourth place among the 11 measured founders' human capital factors. Are investors' views coherent with these findings? The author interviewed five venture capitalists (VCs) and five business angels with investment experience in early stage high technology ventures.

Findings unexpectedly show that most interviewees did not prefer team‐starts to single‐starts new ventures and did not highly consider the teamwork factor in their investment evaluation criteria. There were no major differences between VCs and business angel investors interviewed.

The findings of this qualitative study need validation. Also investors' espoused criteria may differ from their actual in‐use criteria. Avenues for further research are suggested.

Practitioners may reconsider their evaluation criteria regarding new ventures while lending more weight to the team factor.

The paper contributes to the knowledge of investors' perspective on team‐starts and teamwork in new ventures. This evaluation criterion has been under‐explored, though it affects new venture performance.

This study aims to develop an ordered probit model to explain and predict small business relative performance in Chile, South America.

The design is survey research. The sample includes 403 small businesses classified as 158 failed firms, 101 mediocre firms and 144 successful firms within all economic sectors. The model variables are: internet, starting with adequate working capital, managing good financial and accounting records, planning, owner formal education, professional advice, having partners, parents owning a business, and marketing efforts.

The eight-variable model, tested with ordered probit, is a significant predictor of the level of performance at the 0.000 level. Also, six of the eight variables are significant predictors at the 0.05 level: internet, starting with adequate working capital, managing good financial and accounting records, owner, professional advice, having partners, parents owning a business, and marketing efforts. Two of the variables – i.e. planning and formal education – were not significant. ANOVA test of differences were run for each of the eight variables based on the level of performance were also run and results reported.

The model does in fact predict relative performance, so the model can be used to improve the probability of success. Thus, an entrepreneur can use the model to gain a better understanding of which resources are needed to increase the probability of success, and those who advise entrepreneurs can help them use the model. Investors and creditors can use the model to better assess a firm's potential for success. There is an extensive public policy implications discussion regarding how to use the model to assist entrepreneurial ventures so that society can benefit in direct and indirect ways via the allocation of limited resources toward higher potential businesses. Entrepreneurs and small business educators can use the model's variables to influence future business leaders, public policy makers, and their practices.

This study improves the Lussier 15 variable success versus failure prediction model by adding the use of the internet and taking out highly correlated variables. While Lussier and others ran logistic regression with only two levels of performance, this study uses the more robust ordered probit model with three levels of performance. It presents public policy with implications for Chilean institutions to promote entrepreneurship. Finally, it contributes to the literature because, to date, no empirical success versus failure studies have been found that were conducted in Chile or any small, open economies in Latin America

This paper aims to examine the factors that lead to the failure of startups in India and proposes a ‘Four Dimensional (4D) Strategic Framework’ to drive success.

This study is exploratory and uses a narrative analysis methodology to analyse the accounts of key startup stakeholders – founders, investors, former employees and consumers; to identify their failure factors. A conveniently selected sample of 165 startups was studied to understand better the reasons for their failure within a thematic framework developed from David Feinleib’s (2012) handbook “Why Startups Fail”.

Results indicate that a dearth of capital or running out of money and inadequate sales and marketing strategy, which leads businesses to fall behind rivals and lose money on each transaction, are the most common factors for startup failure in India.

“Startups” are substantial for emerging economies like India because they fuel technological innovation and economic progress and provide for the modern workforce’s needs and aspirations. However, they seem to be typically unprofitable, with a modest probability of survival. Subsisting studies mainly focus primarily on success factors and very few on why startups fail, with significant disagreement on an appropriate methodology. To the best of the authors’ knowledge, this is the first study that analyses failure factors of Indian startups using narrative analysis of its key stakeholders. It aims to aid the conception of profitable entrepreneurship by reducing the failure frequency in the startup and small business ecology.

This paper sets out to investigate small business success factors in Chile.

The research on which this paper is based involves a survey correlational study involving a sample of 145 small business owners in Chile that replicates Lussier's success variables validated in the USA.

The results of this research study show that there were 26 significant correlations between the success variables. A major finding shows that business owners tend not to make much use of professional advisors, yet this factor was correlated with six other variables.

There were no other small business success factor studies of Chile found in the specialist literature, thus the results could not be compared with findings of similar studies.

The findings indicate that small business owners and managers may benefit from using more professional advisors. Public policy makers should consider providing more professional help to small business, such as offering services similar to that of the US Small Business Administration.

This is the first major small business success factor study conducted in Chile. Researchers have a foundation for further research and comparisons.

Given the growing number of immigrant entrepreneurs in the USA, the purpose of this paper is to better understand the behaviors of this subgroup of entrepreneurs. Specifically, the paper aims to understand the unique challenges faced by immigrant entrepreneurs and how environmental challenges affect decisions to grow or abandon their ventures.

To make the theoretical arguments in this conceptual paper, the authors draw on the theory of planned behavior developed by Ajzen (1985), which suggests that a person’s behavior is predicted by their intention, and intentions are predicted by one’s attitudes, subjective norm and perceived behavioral control.

The paper provides theoretical insights on the effect of demands of immigration on the intentions of immigrant entrepreneurs to engage in three specific entrepreneurial behaviors: new venture formation, growth and abandonment. The authors propose that immigrant entrepreneurs deal with increased stress yet continue to maintain higher intentions to found new ventures compared to non-immigrants. Contrastingly, the authors also propose that the stress and obstacles immigrant entrepreneurs face reduce their intentions to grow their firms and increase their intentions to abandon their firms. The authors also explore entrepreneurial resilience as a possible moderating factor between stress and entrepreneurial intentions of immigrant entrepreneurs.

First, the authors do not distinguish between immigrants from different nations or parts of the world or having different backgrounds. Second, the authors do not fully develop or incorporate the element of coping. Also, our paper is limited to behaviors of immigrant entrepreneurs with micro- and small-businesses.

Venture capitalists could benefit from empirical results of these propositions as funding decisions may need to include consideration of the proposed effects of stress and demands of immigration.

This paper meets an identified need to examine the effects of immigrant-specific issues such as the demands of immigration on the behaviors of this growing group of entrepreneurs.