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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 purpose of this study is to investigate the influence of IP (Intellectual Property) on the intention for premium consumption of Generation Z, and to construct a theoretical model of IP on the premium consumption of Generation Z. Based on the results of the study, it provides better marketing suggestions to merchants, and is an expansion of previous research on the consumption behavior of Generation Z.

This paper contains two empirical tests and one experimental analysis. First, this study crawl over 5,000 pieces of Generation Z’s consumption data from Poizon, an e-commerce platform and exclusive trending community for Generation Z. Second, this study designs a two-group online experiment to collect 292 valid data from members of the Generation Z. The authors use Stata software for multiple linear regression, t-tests, and ANOVA to test the hypotheses.

The results of the data analysis show that IP has a significant positive effect on the premium consumption intention of Generation Z, and the limited release strategy positively moderates the effect. Self-image congruence and social identification play mediating role in the influence of IP on Generation Z’s premium consumption.

First, this study finds a link between IP and commodity premiums, which is the first study to explore the effect of IP on commodity price changes. Second, this study is the first to examine the marketing science value of IP using a combination of empirical tests and experimental analysis. These fill research gaps. Finally, the mechanism of IP’s influence on Generation Z’s premium consumption is revealed, enriching the literature on Generation Z’s consumption behavior.

This study aims to integrate the Social Cognitive Career Theory with the Theory of Planned Behavior to unravel the intricate dynamics of how engaging with ChatGPT affects individuals’ digital entrepreneurial intention, underlying the serial mediation mechanism of the cognitive and reasoned career process.

This research use a cross-sectional design, drawing on a sample of 604 higher education students from six universities in Vietnam. Multiple regression analyses were conducted to test the formulated hypotheses after assessing the reliability and validity of scales through Cronbach’s alpha and confirmatory factor analysis.

The results indicate that ChatGPT adoption significantly increases perceived AI competencies, entrepreneurial opportunity recognition and digital entrepreneurial self-efficacy. Digital entrepreneurial self-efficacy was found to have a positive impact on attitudes toward digital entrepreneurship, which, in turn, fosters digital entrepreneurial intention. ChatGPT adoption thus poses serial indirect impacts on digital entrepreneurial intention through the sequential pathways of enhanced digital entrepreneurial self-efficacy and positive attitudes.

This study’s findings provide valuable recommendations for entrepreneurs, higher education institutions and policymakers.

This research contributes to the entrepreneurship literature by integrating two prominent theoretical frameworks to elucidate how ChatGPT adoption impacts digital entrepreneurial intentions. The serial mediation model expands that understanding of the complex cognitive and reasoned processes involved, providing a novel perspective on the role of AI in entrepreneurship.

This study investigates the effect of economic policy uncertainty on the firm profitability through moderating role of logistics infrastructure index using US non-financial firms listed at NASDAQ.

We used secondary data set which includes firm-level indicators of 2,323 non-financial US firms listed at NASDAQ over the period of 1998–2018. Ordinary least squares regression with multiple fixed effects used to analyze the data and estimate hypotheses.

The results show that economic policy uncertainty negatively impacts the firm’s profitability whereas the logistics infrastructure positively moderates the negative impact of EPU on the firm’s profitability.

Economic policy uncertainty is a significant challenge for managerial decision making and a direct threat to a firm’s profitability. The results of this study imply that the state of logistics infrastructure must be considered as an important policy tool by the senior management to mitigate the negative impact of economic policy uncertainty and to safeguard a firm’s profitability.

This study highlights that logistic infrastructure plays an important role in alleviating the adverse effect of economic policy uncertainty on the profitability of a US non-financial firm.

In the dynamic landscape of the modern business world, the pursuit of employee well-being and satisfaction with life (SWL) has gained prominence. Yet, few studies exist on SWL among Indian working professionals. This study aims to investigate the impact of inclusive leadership (IL) on the employees’ SWL. Moreover, employing a mediation approach, the study also reveals the mediating role of workplace inclusion (WI) and career satisfaction (CS) in the relationship between IL and SWL.

The study involves a cross-sectional quantitative approach, drawing upon a sample of 279 professionals belonging to the Indian IT sector by administering standardized questionnaires. Data were analyzed using PLS through SmartPLS4.0 software.

The findings reveal a fully complementary mediating role of WI and CS in the IL–SWL relationship, supporting the hypothesized mediation model.

This finding implies that leaders, with their inclusive behavior, can significantly influence employees’ SWL when accompanied by a sense of inclusiveness and CS among employees. The study offers valuable insights for organizations and leaders seeking to enhance employee satisfaction in the IT sector, emphasizing the significance of career-focused and inclusive practices in the workplace through leadership to promote a fulfilling workplace.

This study represents a pioneering effort to integrate the relationship between IL and SWL within the Indian context, going beyond the existing literature on WI and SWL. Additionally, the research model explores the influence of WI and CS in the IL–SWL relationship, a novel approach that has not been previously investigated.