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How does human-AI interaction affect employees' workplace procrastination?

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  • Li, Jia-Min
  • Zhang, Lan-Xia
  • Mao, Meng-Yu

Abstract

Based on the conservation of resources (COR) theory, this study examined the mechanisms by which human-AI interaction influences employees' workplace procrastination and the mediating role of boredom and the moderating role of core self-evaluation. Two studies were conducted to test the hypothesized model. In Study 1, human-AI interactions were categorized into enhanced and impeded. Enhanced human-AI interaction is the degree to which the employee perceives that the employee is leading the work and that the AI assists the work, whereas impeded human-AI interaction is the degree to which the employee perceives that the AI is leading the work and that the employee assists the work. We developed a two-dimensional human-AI interaction scale with eight items. In Study 2, we tested our hypotheses by collecting data from 411 questionnaires in China. Both types of human-AI interaction significantly affected boredom and workplace procrastination. Boredom mediated both types of human-AI interaction and workplace procrastination. Core self-evaluation not only moderated the effects of both types of human-AI interaction on boredom but also moderated the mediating role of boredom. This study has significant implications for both the theoretical understanding of human-AI interaction and its practical applications in organizational management.

Suggested Citation

  • Li, Jia-Min & Zhang, Lan-Xia & Mao, Meng-Yu, 2025. "How does human-AI interaction affect employees' workplace procrastination?," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    • Handle: RePEc:eee:tefoso:v:212:y:2025:i:c:s0040162524007492
    DOI: 10.1016/j.techfore.2024.123951
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