Artificial intelligence in entrepreneurship: A bibliometric analysis of the literature

This study is extensive as a whole and relies on a detailed bibliometric analysis to gain a better understanding of the transformation landscape in artificial intelligence (AI)-related entrepreneurship. A thorough analysis of data, taken from the Scopus database, results in clarified trends identifying AI as an increasingly important component of entrepreneurship from various perspectives. We extracted the bibliographic record from Scopus for 197 documents on AI in entrepreneurship research. By conducting bibliometric analysis, we tried to understand the top-influential and productive papers, authors, sources, and the significant contributing countries and institutions that use AI in entrepreneurship research. This study also intends to identify the most influential and productive writers and development of the discipline of AI in entrepreneurship. The insights identified at the base of this analysis are not only beneficial for exploring the rapidly developing field of AI entrepreneurship. They are also beneficial with respect to several practical implications for different stakeholders and fields. While the above distinguishes provide crucial findings that should be considered for further research within the rapidly changing sector of AI entrepreneurship, they have important implications for various concerned parties, of which researchers, practitioners, and policy makers not the least. The found themes and sub-themes, including business process automation, technology-based innovation, AI-reliant business models, as well as AI role in facilitating startup happenings, represent directions in which the academical research along with practical application is set to get into more detail in the future.