les cahiers du mecas
Volume 21, Numéro 1, Pages 1-17
2025-06-01
Artificial Intelligence And Entrepreneurship: A Comprehensive Bibliometric And Text Mining Analysis Of Global Research Trends
Authors : Benghalem Abdelhadi . Bennihi Aymen Salah . Benbouziane Mohammed .
Abstract
This study provides an in-depth bibliometric and text-mining analysis of the evolving intersection between Artificial Intelligence (AI) and entrepreneurship from 2002 to 2024. Utilizing the SPAR-4-SLR protocol and PRISMA framework, 313 relevant publications were systematically analyzed to uncover scientific production trends, influential countries, key authors, and thematic developments. Results reveal an exponential growth in research, particularly from 2019 onward, with significant contributions from China, India, and the United States. Emerging themes such as machine learning, digital entrepreneurship, and sustainability underscore the transformative role of AI in entrepreneurial processes. The study highlights critical research gaps, especially regarding practical applications in developing economies and the integration of AI in entrepreneurship education. This analysis provides valuable insights for academics, policymakers, and practitioners aiming to navigate and shape the future of AI-driven entrepreneurship
Keywords
Artificial Intelligence ; Entrepreneurship ; Bibliometric Analysis ; Text Mining ; Digital Transformation
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