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How AI-Related Task Complexity Shapes Innovative Work Behavior: A Coping Theory Perspective.

Hongyi Cai1, Yuhui Ge1, Heng Zhao2

  • 1Business School, University of Shanghai for Science and Technology, Shanghai 200093, China.

Behavioral Sciences (Basel, Switzerland)
|November 27, 2025
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Summary

Artificial intelligence (AI) task complexity boosts innovation by encouraging problem-focused coping but hinders it via emotion-focused coping. AI opportunity perception moderates these effects, influencing employee innovation.

Keywords:
AI opportunity perceptionAI-related task complexityemotion-focused copinginnovative work behaviorproblem-focused coping

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Area of Science:

  • Management Science
  • Artificial Intelligence Studies
  • Organizational Behavior

Background:

  • Technological advancements, particularly in Artificial Intelligence (AI), are reshaping industries and driving innovation.
  • Understanding employee responses to AI integration is crucial for organizational success and maximizing innovation quality.

Purpose of the Study:

  • To investigate the dual-pathway mechanisms by which AI-related task complexity influences innovative work behavior.
  • To examine the moderating role of AI opportunity perception on these pathways, grounded in coping theory.

Main Methods:

  • A three-wave field survey was conducted with 353 employees from high-tech enterprises in Beijing and Shanghai.
  • Structural equation modeling was employed to test the proposed hypotheses.

Main Results:

  • AI-related task complexity positively influences innovative work behavior through problem-focused coping.
  • AI-related task complexity negatively influences innovative work behavior through emotion-focused coping.
  • AI opportunity perception moderates both pathways, enhancing the positive effect of problem-focused coping and reducing the negative effect of emotion-focused coping.

Conclusions:

  • Employee behavioral responses to AI integration are complex, involving both adaptive and maladaptive coping strategies.
  • Organizations can strategically leverage AI opportunity perception to optimize employee innovation in AI-integrated work environments.