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With data from the 2003 and 2005 National Minority Business Owners Survey, we examined the extent to which minority business owners differ from nonminority business owners in their reported use of adjustment strategies, and the relationship between the use of adjustment strategies and perceived business success. The sample consisted of 193 African American, 200 Mexican American, 200 Korean American, and 210 white business owners. Mexican American and Korean American business owners reported higher levels of adjustment strategy use than African American and white business owners. The ordinary least squares show that reallocating family resources to meet business needs and reallocating business resources to meet family needs were negatively associated with perceived business success, whereas hiring paid help was positively associated with perceived business success.

This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

The corporate communications literature recently focused on corporate board gender diversity, specifically looking at two central aspects: gender quotas and equitable target percentages for women on corporate boards. This paper extends the debate by focusing on board gender diversity and critical mass theory.

The paper gives a conceptual viewpoint on the issues raised in the literature on board gender diversity through a critical mass theory lens.

Following the 2022 European Union (EU) directive, all EU member states will have to attain a 40% women representation on large corporate boards to achieve board gender diversity and what has been termed a “critical mass”. However, the literature indicates that gender diversity benefits may not be achieved if a critical mass is not composed of independent women directors who create a voice that produces a collective action. The authors highlight why a critical mass may not be achieved. The inconsistency in prior research linking corporate board gender diversity to economic performance may result from the critical mass of women directors not reflecting an independent collective action. However, as gender-diverse boards evolve, the authors argue that women will not just be seen as female directors but will be accepted on equal terms with their male counterparts and have an equal voice; gender will no longer be an issue and critical mass theory may then become irrelevant.

From a corporate communications perspective, this study will focus the minds of human resources (HR) professionals on the importance of the composition of women on corporate boards if the HR professionals wish to obtain the full potential benefits of board gender diversity. Theoretically, this study highlights the importance of critical mass and collective action when researching the economic benefits of corporate board gender diversity. Investment analysts may wish to look more closely at the structure of corporate boards and not just the numbers.

This paper gives a conceptual viewpoint on the critical mass theory and corporate board gender diversity, identifying that it is not just the numbers that are important but also the issue of minority independence and collective action, and this is, therefore, unique in this respect. Future research should identify if a critical mass (not just numbers) of women on corporate boards has been achieved. Only then that the linkage, based on critical mass theory, between board gender diversity and corporate performance/profitability can be made. Knowing whether board sizes are being increased to accommodate the added female directors would be also interesting, or will the new female directors replace existing male directors? However, the most important research question, once gender diversity has been achieved, could be: Is critical mass theory relevant with respect to board gender diversity?

This study examines the impact of college education on incorporated and unincorporated self-employments. It specifically compares the effects on African Americans and Hispanics with the effects on Whites.

The study sample was drawn from the US Current Population Survey between 1989 and 2018. Based on a sample size of 1,657,043 individuals, this study employed logit regression models to test the hypotheses. Racial variations were examined using African Americans and Hispanics as moderators.

The results suggest that college education increases incorporated self-employment and reduces unincorporated self-employment. The impact of college education on incorporated self-employment is stronger for African Americans and Hispanics than for Whites. In contrast, its effect on unincorporated self-employment is stronger for Whites than for African Americans and Hispanics.

The findings provide empirical evidence of how college experience changes the motivation of starting an incorporated or unincorporated business. The results suggest that college education impacts African Americans and Hispanics differently than Whites in pursuing their career path of entrepreneurship.

It is the first study that examines the relationship between college education and incorporated/unincorporated self-employment. It also sheds light on radical variations.

All entrepreneurs face challenges during their venture start-up process, but immigrant entrepreneurs face additional and distinctive challenges due to their contextual newness. This paper focuses on understanding the intertwined journeys of nascent entrepreneurship and cross-cultural adaptation of immigrants in a small Western European country where immigrant entrepreneurship is still a relatively new phenomenon.

The induction-driven, 18-month longitudinal empirical inquiry focused on six early-stage nascent entrepreneurs. Qualitative methods included participant observation during an enterprise program, qualitative interviews and ongoing informal communication.

The data uncovered the interplay between the nascent immigrant entrepreneurship and cross-cultural adaptation. This led to the development of a novel conceptual framework which highlights how the cross-cultural adaptation domain links with the process of recognition, evaluation and exploitation of entrepreneurial opportunities by immigrant entrepreneurs. While varying temporarily and contextually, cross-cultural adaptation was found to create both enabling and constraining tensions within the nascent entrepreneurial experiences of immigrants.

It is recognized that undertaking just six cases may present a significant limitation of the research, but a close examination of even one individual's lived experience can yield valuable insights. It is hoped that future work will test the highlighted research propositions and other findings in different empirical contexts, and so add to the emerging conceptual framework on nascent immigrant entrepreneurship within the context of cross-cultural adaptation.

No previous qualitative studies have been undertaken seeking to understand how cross-cultural adaptation interacts with the early stages of nascent immigrant entrepreneurial activity. By integrating new venture creation and cross-cultural adaptation theories, this research contributes to the conceptualisation of early stages of nascent entrepreneurial activities of immigrants in a new host environment. The implications of the research are also relevant to enterprise support bodies, policymakers and practitioners who support immigrant entrepreneurship.

Traditional Chinese medicine (TCM) prescriptions have always relied on the experience of TCM doctors, and machine learning(ML) provides a technical means for learning these experiences and intelligently assists in prescribing. However, in TCM prescription, there are the main (Jun) herb and the auxiliary (Chen, Zuo and Shi) herb collocations. In a prescription, the types of auxiliary herbs are often more than the main herb and the auxiliary herbs often appear in other prescriptions. This leads to different frequencies of different herbs in prescriptions, namely, imbalanced labels (herbs). As a result, the existing ML algorithms are biased, and it is difficult to predict the main herb with less frequency in the actual prediction and poor performance. In order to solve the impact of this problem, this paper proposes a framework for multi-label traditional Chinese medicine (ML-TCM) based on multi-label resampling.

In this work, a multi-label learning framework is proposed that adopts and compares the multi-label random resampling (MLROS), multi-label synthesized resampling (MLSMOTE) and multi-label synthesized resampling based on local label imbalance (MLSOL), three multi-label oversampling techniques to rebalance the TCM data.

The experimental results show that after resampling, the less frequent but important herbs can be predicted more accurately. The MLSOL method is shown to be the best with over 10% improvements on average because it balances the data by considering both features and labels when resampling.

The authors first systematically analyzed the label imbalance problem of different sampling methods in the field of TCM and provide a solution. And through the experimental results analysis, the authors proved the feasibility of this method, which can improve the performance by 10%−30% compared with the state-of-the-art methods.