Artificial Intelligence and Entrepreneurship: A Bibliometric Analysis of Intellectual Structure, Emerging Trends and Future Prospects (2021-2025)

Abstract

This bibliometric study aims to explore and analyze the intellectual landscape and emerging trends at the intersection of artificial intelligence and entrepreneurship during the period 2021-2025. Responding to the rapid growth and fragmentation of intellectual output, the study employed the PRISMA methodology to extract and analyze 212 scholarly articles from the Scopus database, which possesses vast amounts of data in the fields of business and management. The results revealed the field's transition from an establishment phase to one of accelerated growth, with the United States leading in quantitative output, while European countries, such as Italy, are leading in qualitative impact. The bibliometric network analysis identified four main intellectual clusters and highlighted generative artificial intelligence as a modern research frontier. It also emphasized the role of sustainability as a pivotal knowledge bridge connecting technological innovation and management science. Furthermore, this paper underscored the urgent need to move beyond purely technical research aspects and focus on strategic and organizational dimensions to ensure the survival and growth of startups in the digital age, thus providing a valuable roadmap for researchers, practitioners, and decision-makers.