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Keywords = entrepreneurial team well-being

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18 pages, 520 KB  
Article
Entrepreneurial Team Flourishing Amidst AI Revolution: The Influence of AI Literacy on Hedonic and Eudaimonic Well-Being Through Efficacy and Anxiety
by Haiqing Hu, Yirong Liu, Weiwei Kong and Zhuoyi Li
Behav. Sci. 2026, 16(7), 1198; https://doi.org/10.3390/bs16071198 - 16 Jul 2026
Cited by 1 | Viewed by 478
Abstract
As artificial intelligence (AI) rapidly permeates entrepreneurial ecosystems, understanding how technological literacy relates to entrepreneurial team well-being has become an urgent priority. Drawing on conservation of resources (COR) theory, this study examines the relationship between entrepreneurial teams’ AI literacy and team well-being (distinguishing [...] Read more.
As artificial intelligence (AI) rapidly permeates entrepreneurial ecosystems, understanding how technological literacy relates to entrepreneurial team well-being has become an urgent priority. Drawing on conservation of resources (COR) theory, this study examines the relationship between entrepreneurial teams’ AI literacy and team well-being (distinguishing between hedonic and eudaimonic well-being). Furthermore, it investigates the mediating roles of entrepreneurial team efficacy and collective AI anxiety. Data were collected from a survey of 271 entrepreneurial teams across four major economic zones in China. This study relies on team leaders as primary informants to report team-level perceptions. The results show that AI literacy is positively related to team hedonic well-being, but exhibits no significant direct relationship with team eudaimonic well-being. However, AI literacy is indirectly associated with entrepreneurial team well-being through two parallel pathways: entrepreneurial team efficacy and collective AI anxiety. The findings shed light on how technological literacy is linked to team mental health via the dual mechanisms of cognitive resource gain and emotional loss prevention. This study broadens our understanding of well-being at the entrepreneurial team level and offers insights into cultivating literacy, enhancing efficacy, and managing emotions to improve entrepreneurial team well-being. Full article
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17 pages, 1748 KB  
Article
Startup Survival Forecasting: A Multivariate AI Approach Based on Empirical Knowledge
by Francesc Font-Cot, Pablo Lara-Navarra, Claudia Sánchez-Arnau and Enrique A. Sánchez-Pérez
Information 2025, 16(1), 61; https://doi.org/10.3390/info16010061 - 16 Jan 2025
Cited by 8 | Viewed by 6290
Abstract
Predicting the survival of startups is a complex challenge due to the multifaceted nature of entrepreneurial ecosystems and the dynamic interplay of internal and external factors. Despite advances in empirical research, existing models often lack integration with robust conceptual frameworks. This study addresses [...] Read more.
Predicting the survival of startups is a complex challenge due to the multifaceted nature of entrepreneurial ecosystems and the dynamic interplay of internal and external factors. Despite advances in empirical research, existing models often lack integration with robust conceptual frameworks. This study addresses these gaps by developing a multivariate AI-driven model for predicting startup survival, leveraging Lipschitz extensions, neural networks, and linear regression. Using a dataset of 20 startups, selected across diverse industries and evaluated on attributes such as team dynamics, market conditions, and financial metrics, the model demonstrated high accuracy and clustering capabilities. Key findings highlight the pivotal role of team dynamics and product differentiation in determining survival probabilities. By integrating conceptual insights with empirical data, the study bridges gaps in existing literature and offers a practical decision-making tool for entrepreneurs, investors, and policymakers. These findings underscore the importance of fostering collaborative, innovative ecosystems to enhance entrepreneurial success and societal well-being. Full article
(This article belongs to the Special Issue New Information Communication Technologies in the Digital Era)
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