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The novel coronavirus (nCoV) pandemic, and the challenges of social distancing, proffer a unique opportunity to re-explore the role of social network support in entrepreneurship. Applying social support theory and gender schema theory, this study aims to examine the gender-based differences in prospective entrepreneurs' reliance on their social networks in their entrepreneurial journey amid social turmoil.

The authors collected two-stage primary survey data of prospective entrepreneurs within the pandemic's timeframe from Science and Technology Parks in Iran, one of the first countries to deal with the first, second and third waves of the 2019-nCoV virus.

The findings demonstrate that female entrepreneurs rely more strongly on their social network support for guidance and encouragement, which positively affects their opportunity intention. While this effect is also seen in men, the effect size is smaller. Also, prospective female entrepreneurs were generally more dissuaded from opportunity intention by the severe perceived environmental uncertainty of the crisis than were men.

Prior research on the interaction between social network support and opportunity intentions has been examined in the context of socio-economic normalcy. The authors test whether, how and why these interactions hold in times of crisis, with especial attention to the mechanisms of experienced stress, perceived environmental uncertainty and idea innovativeness.

Human Resource Practices (HRPs) have undergone a revolutionary change, with their practices being more strategic for facilitating the change process. Extant literature studies the impact of Lean Thinking Practices (LTPs) on Organizational Performance (OP). However, the role of HRP as a strategic partner in the inculcation of LTP appears to have been explored sparingly. Hence, this paper aims to identify the specific HRPs that enhance the impact of Lean Thinking on OP.

A cross-sectional survey method was adopted. A total of 528 responses from IT organizations across various levels and processes were collected. The proposed conceptual framework was tested and validated SPSS-Process Macro.

Findings revealed that the presence of HRPs as moderators is significantly impacting the relationship between LTP and OP. LTP when moderated by HRPs significantly impacts employee well-being when compared to other performance variables.

This study is a maiden attempt to study the role of HRP in the inculcation of LTP in IT organizations. Earlier studies, which have mainly concentrated on the need for Human Resource (people) involvement, have spoken and researched less about the specific HRPs in the inculcation of LTP. An empirically validated specific HRP for inculcating LTP in IT organizations is a significant contribution.

The growth of the global labor force and business analytics has significantly impacted human resource management (HRM). Human resource (HR) analytics is an emerging field that creates value for employees and organizations. By examining the existing studies on HR analytics, the paper systematically reviews the literature to identify active research areas and establish a roadmap for future studies in HR analytics.

A portfolio of 503 articles collected from the Scopus database was reviewed. The study has adopted a Latent Dirichlet allocation (LDA) topic modeling approach to identify significant themes in the literature.

The HR analytics research domain is classified into four categories: HR functions, statistical techniques, organizational outcomes and employee characteristics. The study has also developed a framework for organizations adopting HR analytics. Linking HR with blockchain technology, explainable artificial intelligence and Metaverse are the areas identified for future researchers.

The framework will assist practitioners in identifying statistical techniques for optimizing various HR functions. The paper discovers that by implementing HR analytics, HR managers and business partners can run reports, make dashboards and visualizations and make evidence-based decision-making.

The previous studies have not applied any machine learning techniques to identify the topics in the extant literature. The paper has applied machine learning tools, making the review more robust and providing an exhaustive understanding of the domain.

The purpose of this paper is to continue and extend the ongoing conversation about greatness in American business.

This survey, conducted in 2021, replicates and extends McCormick and Folsom’s 2001 and 2011 rankings of the greatest entrepreneurs and businesspeople in American history. The authors’ pool surveyed 51 experts to develop an updated ranking and explore factors of greatness.

Henry Ford topped the ranking followed by John D. Rockefeller and Steve Jobs. Business scholars ranked Oprah Winfrey the greatest female and minority businessperson.

The authors extend previous research by surveying the authors’ expert pool about factors of greatness in American business history. “Ability to imagine or envision the future” ranked highest with “created wealth for shareholders” in last place.