The nexus of artificial intelligence and entrepreneurship research: Bibliometric analysis

Artificial intelligence (AI) has garnered significant attention in both academic and practical domains due to its transformative potential across various business practices. However, despite the increasing interest in AI, research specifically examining its role in entrepreneurship remains limited. This study aims to address this gap by conducting a comprehensive bibliometric analysis of AI and entrepreneurship research. Using the bibliographic coupling method, we analyzed 45 studies from the Scopus database to identify eight key thematic areas that define the current landscape: venture creation, institutional entrepreneurship, entrepreneurial capabilities, opportunity identification, innovation processes, data-driven digital entrepreneurship, entrepreneurship education, and the AI ecosystem. Our findings demonstrate that AI is becoming increasingly integral to entrepreneurial activities, fostering innovation, enhancing decision-making, and supporting business model development. Additionally, this study offers valuable recommendations for future research, highlighting unexplored areas in entrepreneurship where AI can have a significant impact, thereby broadening the scope of AI applications within the entrepreneurial field.