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Entrepreneurial action, creativity, & judgment in the age of artificial intelligence

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  • Townsend, David M.
  • Hunt, Richard A.

Abstract

The rapid advancement of computationally complex systems of artificial intelligence (AI), is the fruit of a decades-long effort to endow machines with cognitive capabilities that equal or even exceed those possessed by human actors. As the growing sophistication of AI algorithms revolutionizes entrepreneurial action in uncertain environments, these advancements raise an important set of questions for future theory-building in entrepreneurial action, creativity, and decision-making research. In this paper, we take up these critical questions by exploring how advancing AI systems provide novel solutions for resolving the fundamental challenges of modal uncertainty in entrepreneurial decision environments. And in doing so, AI algorithms create new possibilities for future forms of entrepreneurial action. We conclude the paper with a robust discussion of future research at the intersection of AI and entrepreneurship.

Suggested Citation

  • Townsend, David M. & Hunt, Richard A., 2019. "Entrepreneurial action, creativity, & judgment in the age of artificial intelligence," Journal of Business Venturing Insights, Elsevier, vol. 11(C), pages 1-1.
    • Handle: RePEc:eee:jobuve:v:11:y:2019:i:c:18
    DOI: 10.1016/j.jbvi.2019.e00126
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    Citations

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    Cited by:

    1. Hunt, Richard A. & Townsend, David M. & Manocha, Parul & Simpson, Joseph J., 2023. "Knowledge problem diagnosis and the fate of corporate entrepreneurship initiatives," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    2. Xueling Li & Yujie Long & Meixi Fan & Yong Chen, 2022. "Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 379-396, May.
    3. Brea, Edgar & Ford, Jerad A., 2023. "No silver bullet: Cognitive technology does not lead to novelty in all firms," Technovation, Elsevier, vol. 122(C).
    4. Wim Van Lent & Richard A. Hunt & Daniel A. Lerner, 2023. "Historiography and the excavation of nascent business venturing," Small Business Economics, Springer, vol. 61(1), pages 285-303, June.
    5. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
    6. Jabeur, Sami Ben & Ballouk, Houssein & Mefteh-Wali, Salma & Omri, Anis, 2022. "Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Chan, C.S. Richard & Pethe, Charuta & Skiena, Steven, 2021. "Natural language processing versus rule-based text analysis: Comparing BERT score and readability indices to predict crowdfunding outcomes," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
    8. Reem Mahmoud Ahmad Mashat, 2021. "The Effect of the Use and Knowledge of AI on the Advanced Entrepreneurship in Saudis Small Business and Startups," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 1-35, July.
    9. Dominic Chalmers & Niall G. MacKenzie & Sara Carter, 2021. "Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution," Entrepreneurship Theory and Practice, , vol. 45(5), pages 1028-1053, September.
    10. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    11. Williamson, Amanda Jasmine & Battisti, Martina & Pollack, Jeffrey M., 2022. "Capturing passion expressed in text with artificial intelligence (AI): Affective passion waned, and identity centrality was sustained in social ventures," Journal of Business Venturing Insights, Elsevier, vol. 17(C).
    12. Xueling Li & Xiaoyan Zhang & Yuan Liu & Yuanying Mi & Yong Chen, 2022. "The impact of artificial intelligence on users' entrepreneurial activities," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 597-608, May.
    13. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    14. Batara Surya & Haeruddin Saleh & Hamsina Hamsina & Muhammad Idris & Despry Nur Annisa Ahmad, 2021. "Rural Agribusiness-Based Agropolitan Area Development and Environmental Management Sustainability: Regional Economic Growth Perspectives," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 142-157.
    15. Lupp, Daniel, 2023. "Effectuation, causation, and machine learning in co-creating entrepreneurial opportunities," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    16. Hunt, Richard A. & Lerner, Daniel A. & Ortiz-Hunt, Avery, 2022. "Lassie shrugged: The premise and importance of considering non-human entrepreneurial action," Journal of Business Venturing Insights, Elsevier, vol. 17(C).
    17. Shepherd, Dean A. & Majchrzak, Ann, 2022. "Machines augmenting entrepreneurs: Opportunities (and threats) at the Nexus of artificial intelligence and entrepreneurship," Journal of Business Venturing, Elsevier, vol. 37(4).

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