RT Journal Article
T1 Entrepreneurship and artificial intelligence: a bibliometric analysis
A1 Redondo-Rodríguez, Maria Dolores
A1 Díaz-Garrido, Eloisa
A1 Perez-Bustamante Yábar, Diana C.
A1 Ramón-Jerónimo, María Ángeles
K1 Artificial Intelligence
K1 Entrepreneurship
K1 Bibliometric Analysis
K1 SciMAT
AB Despite being a new field, Artificial Intelligence (AI) has rapidly become a prolific topic due to the major upsurge in interest shown by researchers worldwide. However, several key aspects of AI remain unexplored. The aim of this paper, therefore, is to identify and analyse the existing research on the intersection between AI and entrepreneurship. Specifically, we pose two important questions: (1) What research has been conducted so far on AI and entrepreneurship? (2) What have the key themes and concepts been in this field of research from its inception to the present day, and how have they evolved over time?  In order to provide an answer to these questions, a descriptive bibliometric analysis of AI and entrepreneurship is proposed through the development of the cognitive structure of this research field. A total of 270 articles from the Web of Science, published between 1987 and 2024, have been analysed by SciMAT. The findings of the study validate the diverse thematic spectrum surrounding the intersection of AI and entrepreneurship: the application of AI methodologies within entrepreneurial research, the emergence of AI-centric business ventures, and the application of AI in entrepreneurship, particularly in critical functions such as decision-making. The key terms have evolved over time, starting with neural networks in the initial period, business models in the second period, and concluding in the latest period with key concepts such as crowdfunding, entrepreneurs, Covid, and e-health. This research offers major contributions to entrepreneurs, and provides significant guidance for future research in this area of study.
PB Springer Nature
YR 2024
FD 2024-12-10
LK https://hdl.handle.net/10433/22144
UL https://hdl.handle.net/10433/22144
LA en
NO Entrepreneurship and artificial intelligence: a bibliometric analysis. Redondo-Rodríguez, M.D., Díaz-Garrido, E., Perez-Bustamante Yábar, D.C., Ramón- Jerónimo, María. A. (in press). The Journal of Technology Transfer 2024 https://doi.org/10.1007/s10961-024-10165-8
NO This work has been financed by the Department of University, Research and Innova-tion of the Government of Andalusia, within the framework of the reference research project PROYEX-CEL_00161. Call 15/12/2021, BOJA 239.
NO Organización de Empresas y Marketing. Universidad Pablo de Olavide.
DS RIO
RD Apr 23, 2026