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Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence

Author

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  • Moren Lévesque
  • Martin Obschonka
  • Satish Nambisan

Abstract

It is time for the entrepreneurship field to come to terms with leading-edge artificial intelligence (AI). AI holds great promise to transform entrepreneurship into a more relevant and impactful field, but it must overcome conflicts between the AI-driven research approach and that of the traditional, theory-based research process. We explore these opportunities and challenges and suggest concrete approaches that entrepreneurship researchers can use to harness the power of AI with rigor and enhance research relevance. We conclude that incorporating the power of AI in entrepreneurship research and managing the associated risks offer a new and “grand challenge†for the field.

Suggested Citation

  • Moren Lévesque & Martin Obschonka & Satish Nambisan, 2022. "Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence," Entrepreneurship Theory and Practice, , vol. 46(4), pages 803-832, July.
    • Handle: RePEc:sae:entthe:v:46:y:2022:i:4:p:803-832
    DOI: 10.1177/1042258720927369
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    3. Venkat Ram Reddy Ganuthula, 2025. "AI-enabled individual entrepreneurship theory: redefining scale, capability, and sustainability in the digital age," Journal of Innovation and Entrepreneurship, Springer, vol. 14(1), pages 1-21, December.
    4. Mariia Garkavenko & Tatiana Beliaeva & Eric Gaussier & Hamid Mirisaee & Cédric Lagnier & Agnès Guerraz, 2023. "Assessing the Factors Related to a Start-Up’s Valuation Using Prediction and Causal Discovery," Entrepreneurship Theory and Practice, , vol. 47(5), pages 2017-2044, September.
    5. Adesuwa Omorede & Juan Francisco Prados-Castillo & Amalia Cristina Casas-Jurado, 2025. "Researching entrepreneurship using big data: implementation, benefits, and challenges," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-22, December.
    6. McSweeney, Jordan J. & McSweeney, Kevin T. & Allison, Thomas H. & Anglin, Aaron H., 2025. "The entrepreneurial pitching process: A systematic review using topic modeling and future research agenda," Journal of Business Venturing, Elsevier, vol. 40(5).
    7. Martin Obschonka & Denis A. Grégoire & Boris Nikolaev & Frédéric Ooms & Moren Lévesque & Jeffrey M. Pollack & Tara S. Behrend, 2025. "Artificial Intelligence and Entrepreneurship: A Call for Research to Prospect and Establish the Scholarly AI Frontiers," Entrepreneurship Theory and Practice, , vol. 49(3), pages 620-641, May.
    8. Angela Altmeier & Christian Fisch, 2025. "To syndicate or not: a replication and extension about the influence of business angels’ personality traits on syndication using Twitter data," Management Review Quarterly, Springer, vol. 75(2), pages 1357-1391, June.
    9. Chaudhary, Sanjay & Khalil, Ashraf & Attri, Rekha & Ractham, Peter, 2025. "Deploying explainable AI in entrepreneurial organizations: Role of the human-AI interface," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
    10. Hunt, Richard A. & Kurdoglu, Rasim Serdar, 2025. "Font of innovation or algorithmic deforestation? The ecosystem impacts of artificial intelligence in entrepreneurship," Journal of Business Venturing Insights, Elsevier, vol. 24(C).
    11. Farley Simon Nobre & Mark D. Packard & Brent B. Clark, 2026. "The Promise of Fuzzy Set Theory for Entrepreneurial Judgment," Entrepreneurship Theory and Practice, , vol. 50(3), pages 757-788, May.
    12. Simon Kleinert & Silvio Vismara, 2026. "The reconfiguration of entrepreneurship: how digital platforms and artificial intelligence transform the entrepreneurial process," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 16(1), pages 1-24, March.

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