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Title Ai-Induced Behaviors: Bridging Proactivity And Deviance Through Motivational Insights
ID_Doc 7080
Authors Ding X.-Q.; Chen H.; Liu J.; Liu Y.-Z.; Wang X.-H.
Year 2025
Published Journal of Managerial Psychology
DOI http://dx.doi.org/10.1108/JMP-05-2024-0375
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. © 2025, Emerald Publishing Limited.
Author Keywords AI usage; AI-related approach motivation; AI-related avoidance motivation; Deviant behavior; Proactive behavior


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