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Building Entrepreneurial Resilience during Crisis using Generative AI: An empirical study on SMEs

Shore, Adam; Tiwari, Manisha; Tandon, Priyanka; Foropon, Cyril


Adam Shore

Priyanka Tandon

Cyril Foropon


Recently, Gen AI has garnered significant attention across various sectors of society, particularly capturing the interest of small business due to its capacity to allow them to reassess their business models with minimal investment. To understand how small and medium-sized firms have utilised Gen AI-based tools to cope with the market's high level of turbulence caused by the COVID-19 pandemic, geopolitical crises, and economic slowdown, researchers have conducted an empirical study. Although Gen AI is receiving more attention, there remains a dearth of empirical studies that investigate how it influences the entrepreneurial orientation of firms and their ability to cultivate entrepreneurial resilience amidst market turbulence. Most of the literature offers anecdotal evidence. To address this research gap, the authors have grounded their theoretical model and research hypotheses in the contingent view of dynamic capability. They tested the research hypotheses using cross-sectional data from a pre-tested survey instrument, which yielded 87 useable responses from small and medium enterprises in France. The authors used variance-based structural equation modelling with the commercial WarpPLS 7.0 software to test the theoretical model. The study's findings suggest that Gen AI and EO have a significant influence on building entrepreneurial resilience as higher-order and lower-order dynamic capabilities. However, market turbulence has a negative moderating effect on the path that joins entrepreneurial orientation and entrepreneurial resilience. The results suggest that the assumption that high market turbulence will have positive effects on dynamic capabilities and competitive advantage is not always true, and the linear assumption does not hold, which is consistent with some scholars' assumptions. The study's results offer significant contributions to the contingent view of dynamic capabilities and open new research avenues that require further investigation into the non-linear relationship of market turbulence.


Shore, A., Tiwari, M., Tandon, P., & Foropon, C. (2024). Building Entrepreneurial Resilience during Crisis using Generative AI: An empirical study on SMEs. Technovation, 135, Article 103063.

Journal Article Type Article
Acceptance Date Jun 20, 2024
Online Publication Date Jun 24, 2024
Publication Date Jul 1, 2024
Deposit Date Jun 25, 2024
Publicly Available Date Jun 27, 2024
Journal Technovation
Print ISSN 0166-4972
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 135
Article Number 103063
Keywords Generative AI; Entrepreneurial orientation; Entrepreneurial resilience; Market turbulence; Dynamic capability view
Public URL


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