Entrepreneurship and artificial intelligence: a bibliometric analysis
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2024-12-10
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Springer
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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 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 decisionmaking.
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.
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Redondo-Rodríguez, M.D., Díaz-Garrido, E., Pérez-Bustamante Yábar, D.C. et al. Entrepreneurship and artificial intelligence: a bibliometric analysis. J Technol Transf (2024). https://doi.org/10.1007/s10961-024-10165-8