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Until relatively recently, marketers did not take the youth market very seriously, unless they were selling products of immediate interest to young people — such as toys, sweets or drinks. The author looks at how, in the last ten years, the attitudes of organisations of all types towards young people have undergone a quiet revolution.

This study compares the performance of female majority-owned new ventures (FNV) vs. male majority-owned new ventures (MNV). It analyzes the differences in levels of variables such as education, the same industry work experience of owners, and other venture level attributes between FNVs and MNVs. More importantly, this study employs decomposition techniques to determine the individual contribution from the intergender difference of each attribute on the performance of the new venture. For example, the study finds that, on average, the owners of an MNV possessed 3.4 years more of the same industry work experience than their FNV counterparts. This difference in work experience accounted for 47% of the “explained” gap [1] in Net Profits between the FNVs and MNVs.

This paper utilizes the Kauffman Firm Survey, a longitudinal dataset of 4,928 new ventures started in the USA in 2004. It employs Blinder-Oaxaca and Fairlie decomposition techniques in conjunction with OLS and Logit regressions. Both methods provide point estimates of contributions to the performance gap due to the heterogeneity in each attribute across the groups (FNV and MNV). This approach has a significant advantage over OLS or mediation analysis, which can only provide a directional analysis of the contributions of differences in attributes to performance.

The paper finds no performance gap between MNVs and FNVs. It further investigates whether the heterogeneous characteristics of MNVs vs FNVs are related to different effects on survival and performance. It finds that characteristics such as owners’ work experience in the same industry, average hours worked by owners in the new venture, the technology level of the venture, and its incorporation status are related with a differential impact on new venture survival and performance.

All firms in the dataset belonged to a single cohort (2004) of new ventures started in the US. Future studies are encouraged to develop a dataset from multiple geographies and founding over several years so that the results may be more generalizable.

The paper provides crucial practical guidance to policymakers, investors, and entrepreneurs. In general, policies that enhance the work experience of women entrepreneurs and provide access to infrastructure such as daycares, which may allow them to work more hours, would probably improve the performance of FNVs.

The paper furthers the literature on women entrepreneurship by analyzing point estimates of differential contribution of disparate variables to performance. From a methodological perspective, the study reconciles the results between regression and decomposition analyses.

The purpose of this paper is to examine the time-series dynamics of entrepreneurship rates for different race classifications based on household characteristics over the 1996 through 2013 period.

Using microdata from the Kauffman Foundation, this study investigates the roles of unemployment, homeownership, income, immigration, education, age, gender and marital status in relation to entrepreneurship rates for different race classifications through ridge regression analysis.

Results suggest that the time-series variation in entrepreneurship rates for different race classifications are variable-dependent, moreover, the economic and statistical significance of the candidate explanatory variables are sensitive to the time period under analysis. Unemployment, homeownership, education, age and marital status are significant variables for whites while unemployment, income, immigration and gender variables are significant for blacks. For the case of Native Americans and Asians, the candidate explanatory variables do not explain the time-series variation in entrepreneurship rates for the sample periods in this study.

This study exhibits implications for public policy in helping to promote entrepreneurship at the individual level and help stimulate entrepreneurial activity as a mechanism for promoting economic growth.

The findings suggest the importance of examining entrepreneurship rates across time based on race classifications. This study highlights the importance of conducting ridge regression analysis for different sub-periods in time when assessing entrepreneurship rates.

The United Arab Emirates (UAE) offers a level playing field to all ethnic entrepreneurs (EE’s) operating from within it. The purpose of this qualitative research case study is to explore the reasons underpinning the relatively greater success that Indian-origin EE’s in the UAE have been enjoying for sustained periods – and across diverse industries – relative to their counterparts belonging to several other nations.

Qualitative research case study that draws from data gathered through 30 interviews of participants identified through expert sampling.

Whereas the UAE treats all its ethnic entrepreneurs (EE’s) alike and provides them with a level platform to operate from, the EE’s from India have consistently been outperforming those from all other nations, particularly within the context of the UAE’s large businesses spanning diverse industries. Three features seem to explain their success: their high tolerance for ambiguity; thriftiness; and intercultural competence.

Two key limitations were faced: firstly, the negligible research literature on ethnic entrepreneurship in the UAE, and related official statistics such as details (by ethnicity/nationality) of EE-owned businesses, and secondly, the industry-wise break down of such businesses and their performance, as available in other developed nations hosting EE’s. Resultantly, alternate sources of data have been used to complete this research.

Given the UAE’s national-level institutionalised efforts to promote entrepreneurship amongst its citizens and wider populace, there are many implications that this study holds for existing and future entrepreneurs.

While on the one hand, the UAE and the wider Gulf Cooperation Council region have been witnessing frenetic ethnic entrepreneurial activity in the past decade, the research literature on the regions’ ethnic entrepreneurship is extremely patchy. This case study serves to significantly bridge this gap, and to the best of the authors’ knowledge, this is the first work, that extensively explores the entrepreneurial trajectory of Indian EE’s in the UAE, and the factors driving their success.

The world is changing very rapidly with events that alter the landscape for students during a time when entrepreneurs are needed more than ever. This chapter explores trends in entrepreneurship research that are focused in areas of the entrepreneurial mindset, alleviation of poverty through entrepreneurship, social entrepreneurship, portfolio thinking about entrepreneurial venture types, the crucial nature of racial diversity, and the drive of women entrepreneurs. It also examines COVID-19’s disparate impact on smaller ventures and Black entrepreneurs, while highlighting its impact on spurring entrepreneurial innovations causing an entrepreneurial explosion. Most importantly, this chapter focuses on how the emerging research trends amidst the COVID-19 pandemic have prompted entrepreneurship educators to enact educational innovations. The chapter includes tools and tips to integrate into the changing nature of university programs and entrepreneurship curriculums facing a dynamic future.

We often hear questions like “What must that leader have been thinking?” “What possessed her to do that?” “That leader needs to give his head a shake!” or “It is so disappointing to see the pain caused by one wrong-headed and self-serving leader!” This chapter describes how leaders may subtly fall into rationalization, self-justification, foolishness, and callous indifference through maleficent internal narratives. How is it that leaders who have found the favor of others in the service of a great cause (i.e., the education of children and youth) find themselves sucked into clearly wrong or unthinkably bad actions? In this chapter, vicious (non-virtuous) thinking, inner political churnings, unconscious reinforcement of systemic evil, and hurtful ways of influencing others are explored, named, and challenged.

This study aimed at examining the influence of two important elements of social supports, namely supervisor support and coworker support, on work engagement among employees in the university setting. The study also further examined the mediating potentials of meaningful work on the relationships between the former and the latter.

The sample study comprised academic and managerial staff members from a public-sector university in Malaysia. Out of the 420 distributed questionnaires, 216 were received back from which 177 were found useable and hence were taken further for final data analysis. Statistical software of SPSS and Smart PLS 2.0 M3 were used to perform data analysis.

Supervisor support and coworker support were found to be significant predictors of work engagement. Further, meaningful work was found mediating these relationships.

The findings enrich literature of social support, work engagement, and meaningful work. The study is one of the foremost empirical works examining the mediating potential of meaningful work on the relationships between two social resources (supervisor support and coworker support) and work engagement. The issue of work engagement is evident in several mainstream work sectors alongside the education sector. Hence, the research findings are worthy to help understand work engagement issues and how to tackle it in the education setting.

Meaningful work is gaining importance in the core domains of human resources research. However, there is confusion regarding what constitutes meaningful work and its determinants and outcomes. Earlier studies have conflated conceptual and empirical arguments. Hence, researchers lack clear insights into factors related to employees' experiences of meaningfulness. This study aims to discuss the aforementioned issue.

The authorsconducted a systematic literature review (SLR) of 88 studies (2000–2020) meeting relevant criteria to identify dominant trends and significant gaps in the authors’ understanding of meaningful work.

This review identified six aspects to conceptualize meaningful work. At the same time, the authors highlighted the dominant theory and the instrument used to explain and measure meaningful work. Based on the same, the authors identified different groups of individual and organizational-level determinants and outcomes of finding meaning in work. The analysis also indicates that the comprehension of meaningful work was restricted because most data were obtained from the USA, Europe and certain regions of Asia. During this assessment, the authors observed that several studies emphasized individual-level effects, self-reporting and cross-sectional studies, which restricted the ability to make causal inferences.

This study extends earlier works where the authors stock-take existing research for the past 20 years and build on past trajectories to enrich the authors’ understanding of meaningful work. Unlike earlier works that focused on a specific domain, such as human resource development, this work differentiates by taking an integrated framework-based approach leveraging the antecedents, decisions and outcomes (ADO) and the theories, contexts and method (TCM) framework to consolidate and advance knowledge in the field thoroughly.