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This article discusses the statistics and trends surrounding the rapidly aging U.S. population. Older workers will make up an increasing portion of the workforce and these individuals represent an important growing demographic target market. While much has been written about the aging population and the potential for entrepreneurs to target this growing market, little research has been conducted on older entrepreneurs. They are a unique group and this article provides empirical results and discussion about the differences and importance of older entrepreneurs to the economy and as contributors to American society. Practical implications and future research directions are discussed.

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 negative consequences of the COVID-19 pandemic and the current economic situation, especially in certain countries, have compelled organizations to shrink their hierarchies, reduce working hours, freeze hiring, and rely on gig workers to perform tasks. While these circumstances may be seen as a threat, certain vulnerable labor groups, such as women, seized the opportunity to develop entrepreneurial skills and launch their own firms. Others addressed smart platforms to engage in gig economy activities. This research investigates the aspects that drive women to be entrepreneurs, exploring the relationships between the entrepreneurial ecosystem, the gig economy, and women's entrepreneurship in a developing country.

Data were collected from 300 female entrepreneurs in Lebanon through questionnaires that measured the indicators and variables of the proposed model, which was tested applying partial least square.

The results show a positive influence of the entrepreneurial ecosystem and gig economy on women's entrepreneurship, stronger in the case of entrepreneurial ecosystem elements and almost similar for opportunity and necessity entrepreneurship.

This research achieves empirical evidence on the relationship between the entrepreneurial ecosystem, the gig economy, and women's entrepreneurship in the case of a developing country. The originality of this paper lies in its empirical and gendered approach, considering together the effects of entrepreneurial ecosystem factors and gig economy practices on women's entrepreneurship, especially relevant in a regional context like Lebanon, where digital economy may constitute an opportunity for economically vulnerable groups.