The Mediating Role of Resilience in the Relationship between Attitude towards Artificial Intelligence and Workplace Well-being

Authors

  • Shaimaa Ezzat Basha University of Fujairah, Fujairah, United Arab Emirates; Helwan University, Egypt
  • Enass Khalil Alquqa University of Fujairah, Fujairah, United Arab Emirates
  • Hazem Aldabbas University of Fujairah, Fujairah, United Arab Emirates
  • Abdallah M Elamin University of Fujairah, Fujairah, United Arab Emirates

DOI:

https://doi.org/10.63332/joph.v5i6.2341

Keywords:

Artificial Intelligence, Attitude towards Artificial Intelligence, Resilience, Workplace Well-being, Job Demands-Resources (JD-R), UAE

Abstract

Artificial intelligence (AI) promotes more effective coping mechanisms by enhancing resilience, particularly in a professional setting and during emergencies. Improving resilience, in turn, boosts the positive effects of AI on overall well-being. The study uses a quantitative approach to examine how attitude towards AI impacts employees’ well-being. We report the results from a survey on a sample 309 employees from different sectors in the UAE. Structural equation modeling was applied to test the hypothesized relationships. The findings suggest that attitude towards AI affects employees’ well-being. While AI is swiftly adopted among professionals who have worked with such tools, some organizations find it challenging to implement due to their lack of familiarity. Resilience helped to understand how AI can be used to improve workplace well-being. The framework captures variables that allow it to accurately conclude that AI impacts workplace well-being. Future studies should examine this area and provide solutions to ensure automation benefits humans by affecting natural interactions.

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Published

2025-06-05

How to Cite

Basha, S. E., Alquqa, E. K., Aldabbas, H., & Elamin, A. M. (2025). The Mediating Role of Resilience in the Relationship between Attitude towards Artificial Intelligence and Workplace Well-being. Journal of Posthumanism, 5(6), 2326–2339. https://doi.org/10.63332/joph.v5i6.2341

Issue

Section

Articles