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How Do Interactions With Generative Artificial Intelligence Impact Employees' Creative Performance? Mediating Role of Work Passion and Moderating Role of AI Knowledge

Hongdan Zhao et al.

Asia-Pacific Journal of Human Resources2026https://doi.org/10.1111/1744-7941.70070article
AJG 2ABDC A
Weight
0.50

Abstract

Given the reshaping of employee work by generative artificial intelligence (GenAI), whether employees interacting with GenAI can achieve higher creative performance has become a focal point of interest for academia and industry. Drawing on the job demands‐resources (JD‐R) theory and dualistic model of passion, we explore when and how interactions with GenAI impact employee creative performance. We conducted a three‐wave survey, analyzing data from 365 employees. The results indicate that interactions with GenAI can be both job resources, enhancing employee creative performance by increasing harmonious work passion, and job demands, impairing employee creative performance by increasing obsessive work passion. Moreover, AI knowledge serves as a critical boundary condition, enhancing the positive effects and weakening the negative impact of interactions with GenAI. This study contributes to clarifying the relationship between interactions with GenAI and creative performance, enriches the emerging AI‐related management research, and provides evidence‐based insights for organizational management practices.

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https://doi.org/https://doi.org/10.1111/1744-7941.70070

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@article{hongdan2026,
  title        = {{How Do Interactions With Generative Artificial Intelligence Impact Employees' Creative Performance? Mediating Role of Work Passion and Moderating Role of AI Knowledge}},
  author       = {Hongdan Zhao et al.},
  journal      = {Asia-Pacific Journal of Human Resources},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/1744-7941.70070},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.