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How Is Generative AI Use Associated with Employee Creative Behavior? Uncovering Capability- and Risk-Based
Jingya Yang1, Haikun Shan1, Ji-Na Lee1
1Department of Global Management, Seokyeong University, Seoul 02713, Republic of Korea.
Behavioral Sciences (Basel, Switzerland)
|July 28, 2026
Summary
Generative AI use boosts employee creativity by enhancing self-efficacy and psychological safety. Digital leadership further amplifies these positive effects, fostering innovation in knowledge-intensive work.
Area of Science:
- Management Science
- Artificial Intelligence
- Organizational Behavior
Background:
- Generative AI is transforming knowledge work and innovation.
- Existing research confirms AI's efficiency benefits, but its impact on creativity is unclear.
- This study investigates the mechanisms linking generative AI to employee creative behavior.
Purpose of the Study:
- To examine how generative AI use influences employee creative behavior.
- To test the mediating roles of creative self-efficacy and psychological safety.
- To investigate the moderating effect of digital leadership.
Main Methods:
- A three-wave time-lagged survey design.
- Data collected from 297 employees in highly digitalized industries.
- Analysis using a moderated dual-path model based on Social Cognitive Theory and Psychological Safety Theory.
Main Results:
- Generative AI use positively predicts employee creative behavior.
- Creative self-efficacy and psychological safety significantly mediate the relationship.
- Digital leadership enhances generative AI's positive impact on mediators and creativity.
Conclusions:
- Generative AI empowers employees through capability enhancement and risk reduction pathways.
- Findings extend understanding of AI's role in fostering creativity.
- Provides insights for organizations to leverage AI for innovation and digital transformation.
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