Information Processing & Management, Год журнала: 2024, Номер 62(1), С. 103957 - 103957
Опубликована: Ноя. 11, 2024
Язык: Английский
Information Processing & Management, Год журнала: 2024, Номер 62(1), С. 103957 - 103957
Опубликована: Ноя. 11, 2024
Язык: Английский
Administrative Sciences, Год журнала: 2025, Номер 15(2), С. 55 - 55
Опубликована: Фев. 10, 2025
This research expands and updates a previous analysis of social entrepreneurship, incorporating the academic literature published between 2017 2024. Using Web Science database Latent Semantic Analysis (LSA) technique, 1262 articles were analyzed, organized into three time periods (2017–2018, 2019–2021, 2022–2024). The results show clear evolution field, where sustainability, digitization, resilience emerge as fundamental axes. Compared to original research, which identified convergence third sector corporate responsibility (CSR), this reveals consolidation hybrid models, aligned with Sustainable Development Goals (SDGs). Sustainability is positioned transverse axis, integrating economic, social, environmental objectives. Digital transformation, driven by pandemic, has facilitated scalability, organizational efficiency, impact measurement, but also poses challenges in terms technological equity. In addition, community takes center stage an adaptive response global crises. Research provides comprehensive up-to-date view identifying key trends emerging challenges, while mapping new lines needed strengthen field increasingly globalized world.
Язык: Английский
Процитировано
2Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2024, Номер 19(2), С. 391 - 428
Опубликована: Июнь 30, 2024
Research background: In the rapidly evolving milieu of digital entrepreneurship, integration artificial intelligence (AI) technologies, exemplified by ChatGPT, has witnessed burgeoning prominence. However, there remains a dearth understanding regarding relationships between ChatGPT adoption in entrepreneurship and individuals’ cognitive career processes entrepreneurship. Purpose article: The primary aim research is to adopt Social Cognitive Career Theory moderated mediation model unravel intricate dynamics that characterize impact entrepreneurial intentions, underlying mechanism self-efficacy technostress. Methods: Drawing on sample 1326 respondents Vietnam using stratified sampling approach, first, Cronbach’s alpha confirmatory factor analysis were used test reliability validity scales; after that, Harman’s single-factor common latent employed method bias; finally, PROCESS macro approach was utilized hypothesized model. Findings & value added: Our findings reveal positive impacts intentions. Moreover, found significantly mediate intention. Furthermore, technostress emerges as significant negative moderator, influencing both This study thus contributes literature advancing our how AI technologies shape aspirations, offering valuable insights for scholars practitioners navigating transformative landscape
Язык: Английский
Процитировано
9Information Processing & Management, Год журнала: 2024, Номер 62(1), С. 103957 - 103957
Опубликована: Ноя. 11, 2024
Язык: Английский
Процитировано
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