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Impact of using artificial intelligence in affecting entrepreneurial learning behaviours: An approach-and-avoidance framework
Author(s)
Date Issued
2026
Publisher
Hong Kong: Hong Kong Shue Yan University
Citation
Tang, P. M., Chan, M. T., & Ng, C. T. S. (2026). Impact of using artificial intelligence in affecting entrepreneurial learning behaviours: An approach-and-avoidance framework. In Hong Kong Shue Yan University (Ed.). Conference proceeding of international conference on human resilience: Navigating life changes & challenges (HRCONF2026). International Conference on Human Resilience: Navigating Life Changes & Challenges (HRCONF2026), Hong Kong Shue Yan University (pp. 43). Hong Kong Shue Yan University.
Type
Conference Paper
Abstract
In the Fourth Industrial Revolution, artificial intelligence (AI) has increasingly become the centre of entrepreneurial processes. However, organisational science is relatively slow in determining the psycho-behavioural implications of the use of AI amongst entrepreneurs. We draw from approach-avoidance theory as an overarching theoretical framework to develop a theoretical model depicting the mixed consequences of using AI on entrepreneurial learning behaviour via the approach-oriented reaction of cognitive flexibility and avoidance-oriented reaction of cognitive overload. On the one hand, we suggest that the use of AI may heighten entrepreneurs’ cognitive flexibility (as an approach-oriented reaction) and prompt them to learn better subsequently. On the other hand, the use of AI may also elicit cognitive overload amongst entrepreneurs, thereby subsequently impairing their learning behaviour. Furthermore, we theorise that the personalities of entrepreneurs should reconcile the mixed cognitive reactions upon the use of AI. We conclude by discussing the theoretical and practical implications of our research.
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