AI-induced behaviors: bridging proactivity and deviance through motivational insights

Purpose Drawing on the approach-avoidance framework, this paper examines the effects of artificial intelligence (AI) usage on employee proactive behavior and deviant behavior by focusing on the mediating role of AI-related approach motivation and AI-related avoidance motivation. Design/methodology/approach Time-lagged data were collected using a field survey research design. The participants included 587 employees from over a dozen Internet companies, technology firms, intelligent medical and smart city companies in Beijing and Hebei, China. Findings AI usage is positively related to both AI-related approach motivation and AI-related avoidance motivation. In addition, AI-related approach motivation mediates the positive relationship between AI usage and proactive behavior, AI-related avoidance motivation mediates the positive relationship between AI usage and deviant behavior. Originality/value First, this paper examines the double-edged sword effect of AI usage, reconciling the contradictory findings in previous research and providing a more comprehensive and balanced perspective for understanding the impacts of AI usage on employees. Second, this paper identified proactive behavior and deviant behavior as two novel outcomes of AI usage. Third, this paper further extends the application of the approach-avoidance framework in the management literature.

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Publication Details

Journal
Journal of Managerial Psychology
Published
2025-03-24
DOI
https://doi.org/10.1108/jmp-05-2024-0375
Citations
2
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
3.09
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article

AI-induced behaviors: bridging proactivity and deviance through motivational insights

Xiao-Hua Frank Wang, Yu-Zhan Liu, Jie Liu, Hui Chen et al.
2 citations
Journal of Managerial Psychology
Behavioral Health and Interventions
3.09
article

AI-induced behaviors: bridging proactivity and deviance through motivational insights

Xiao-Hua Frank Wang, Yu-Zhan Liu, Jie Liu, Hui Chen, Xin-Qian Ding
article en
2 citations

Abstract

Purpose Drawing on the approach-avoidance framework, this paper examines the effects of artificial intelligence (AI) usage on employee proactive behavior and deviant behavior by focusing on the mediating role of AI-related approach motivation and AI-related avoidance motivation. Design/methodology/approach Time-lagged data were collected using a field survey research design. The participants included 587 employees from over a dozen Internet companies, technology firms, intelligent medical and smart city companies in Beijing and Hebei, China. Findings AI usage is positively related to both AI-related approach motivation and AI-related avoidance motivation. In addition, AI-related approach motivation mediates the positive relationship between AI usage and proactive behavior, AI-related avoidance motivation mediates the positive relationship between AI usage and deviant behavior. Originality/value First, this paper examines the double-edged sword effect of AI usage, reconciling the contradictory findings in previous research and providing a more comprehensive and balanced perspective for understanding the impacts of AI usage on employees. Second, this paper identified proactive behavior and deviant behavior as two novel outcomes of AI usage. Third, this paper further extends the application of the approach-avoidance framework in the management literature.

Journal of Managerial Psychology
Beijing University of Posts and Telecommunications (CN), Beijing Normal University (CN)
Openalex Percentile: Top 10%
Behavioral Health and Interventions
3.09
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AI-induced behaviors: bridging proactivity and deviance through motivational insights — Xiao-Hua Frank Wang, Yu-Zhan Liu, et al. · Journal of Managerial Psychology (2025) | TGRS Research Map | TGRS