In the contemporary entrepreneurial environment increasingly shaped by artificial intelligence, the Artificial intelligence (AI) literacy of entrepreneurs plays an essential role in enhancing entrepreneurial resilience. However, the underlying mechanisms that explain this relationship remain inadequately explored. Grounded in the Conservation of Resources (COR) theory, this study examines the effect of entrepreneurs’ AI literacy on entrepreneurial resilience, specifically assessing the mediating effect of AI anxiety and the moderating effect of social support. Data were obtained from 330 Chinese entrepreneurs using a two-wave survey design. The analysis revealed a significant positive association between AI literacy and entrepreneurial resilience. Furthermore, AI anxiety mediates this relationship, suggesting that AI literacy enhances entrepreneurial resilience by alleviating AI anxiety. Moreover, all three forms of social support were found to buffer the negative effect of AI anxiety on resilience. Notably, the moderating effects of subjective support and support utilization are significantly stronger than those of objective support, highlighting the distinct roles of different support types. These findings deepen theoretical insight into the psychological pathways linking AI literacy to resilience and offer practical guidance for entrepreneurs in the AI era.

Against the backdrop of deep digital transformation and the increasing integration of AI into new product development (NPD), understanding the associations between different forms of human–AI interaction and team innovation has become an important organizational challenge. Grounded in the knowledge-based view and the Stimulus–Organism–Response (SOR) framework, this study investigates the associations between different forms of human–AI interaction and team innovative behavior, and the mediating role of knowledge domain coupling. Drawing on survey data collected from 268 NPD team managers serving as key informants for their respective teams in Chinese manufacturing firms, we examine two distinct forms of human–AI interaction: enhanced human–AI interaction (EHI) and impeded human–AI interaction (IHI). The results show that EHI is positively and significantly associated with both knowledge domain coupling and team innovative behavior, whereas IHI exhibits an inverted U-shaped relationship with knowledge domain coupling and team innovative behavior. Furthermore, complementary knowledge coupling and iterative knowledge coupling jointly serve as the knowledge-processing mechanisms linking human–AI interaction and team innovative behavior. This study contributes to the human–AI interaction and team innovation literature by explaining how different forms of human–AI interaction are associated with team innovation through distinct knowledge-processing mechanisms. The findings also offer practical guidance for managers seeking to dynamically balance different forms of human–AI interaction to foster innovation in AI-enabled NPD teams.

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.