A bibliometric review on artificial intelligence and entrepreneurship

Abstract

Artificial intelligence and entrepreneurship considered as useful for industries, institutions and society. We selected peer-reviewed 149 articles by using Web of Science period from 2016 to 2024. We analyzed the data by utilizing VoSviewer software. Our bibliometric data demonstrated an interesting cluster such as Cluster 1: technology driven creative entrepreneurial activities, Cluster 2: integrating big data technology into managerial practices, Cluster 3: adoption of AI models into entrepreneurial education, Cluster 4: AI driven digitization of dynamic capabilities, Cluster 5: Impact of AI and ML on international entrepreneurial landscape, Cluster 6: User acceptance driven by digital entrepreneurship. This bibliometric review provides useful insights for entrepreneurs by adoption of AI technologies due to its disruption towards industries globally and locally. Our bibliometric review advance understanding on entrepreneurship literature by integration of AI technologies due to digital transformation for businesses and society as well.