The consequences and theoretical explanation of workplace AI on employees: a systematic literature review

Abstract In the digital and intelligent era, the application of artificial intelligence (AI) in the workplace presents both numerous opportunities and challenges for employees. The complex interactions between AI technologies and employees necessitate a comprehensive understanding of how workplace AI implementation affects employee outcomes. This study analyzes publication trends in the related literature, identifying key publishing journals and research hotspots in this emerging field. Building on this foundation, we synthesize representative concepts and measures related to workplace AI, and explore its effects on employees through four theoretical perspectives: resource, stress, cognitive, and motivational perspectives. Additionally, we outline the moderating mechanisms that influence these effects. Finally, we construct an integrated research framework and propose directions for future research, aiming to provide theoretical guidance for ongoing workplace AI research and practical insights for organizational decision-making.

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Publication Details

Journal
Journal of Digital Management
Published
2025-10-20
DOI
https://doi.org/10.1007/s44362-025-00016-3
Citations
3
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
7.44

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article

The consequences and theoretical explanation of workplace AI on employees: a systematic literature review

Weipeng Liu, Jianfeng Jia, Xiaoxu Ning
3 citations
Journal of Digital Management
AI in Service Interactions
7.44
article

The consequences and theoretical explanation of workplace AI on employees: a systematic literature review

Weipeng Liu, Jianfeng Jia, Xiaoxu Ning
article en
3 citations

Abstract

Abstract In the digital and intelligent era, the application of artificial intelligence (AI) in the workplace presents both numerous opportunities and challenges for employees. The complex interactions between AI technologies and employees necessitate a comprehensive understanding of how workplace AI implementation affects employee outcomes. This study analyzes publication trends in the related literature, identifying key publishing journals and research hotspots in this emerging field. Building on this foundation, we synthesize representative concepts and measures related to workplace AI, and explore its effects on employees through four theoretical perspectives: resource, stress, cognitive, and motivational perspectives. Additionally, we outline the moderating mechanisms that influence these effects. Finally, we construct an integrated research framework and propose directions for future research, aiming to provide theoretical guidance for ongoing workplace AI research and practical insights for organizational decision-making.

Journal of Digital ManagementVol. 1(1)
Ministry of Industry and Information Technology (CN), Northeastern University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 3%
AI in Service Interactions
7.44
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