More flow and less objectification: Dual influence mechanisms of generative AI use on employees’ proactive behaviors

Abstract Technological innovations represented by generative artificial intelligence (GAI) are disrupting existing work modalities, leaving academia in urgent need of empirical research regarding how GAI usage shapes employee cognition and behavior. Grounded in Social Cognitive Theory (SCT), this study constructs a dual-pathway model of value-creation to explore the underlying mechanisms and boundary conditions governing the impact of GAI use on employee proactive behavior (PB). Utilizing a three-wave time-lagged survey with a sample of 380 full-time knowledge workers, we investigate the mediating roles of flow experience (FE) (representing the “empowering humans” pathway) and workplace objectification (WO) (representing the “liberating humans” pathway), as well as the moderating role of digital literacy (DL). Generative AI use is positively related to employee proactive behavior. Specifically, GAI use cultivates flow experiences and mitigates workplace objectification, both of which partially mediate the relationship between GAI use and proactive behavior. Furthermore, digital literacy exhibits an asymmetrical moderating effect: it strengthens the negative relationship between GAI use and workplace objectification, along with the corresponding indirect effect; however, its moderating effect on the relationship between GAI use and flow experience is not statistically significant. These conclusions offer critical theoretical implications for human-AI collaboration in organizations and provide actionable practical guidance for corporate digital transformation and GAI deployment in modern enterprises.

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Publication Details

Journal
BMC Psychology
Published
2026-09-21
DOI
https://doi.org/10.1186/s40359-026-05643-7
Primary Topic
Flow Experience in Various Fields
Type
article
Field-Weighted Citation Impact
0.00
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article

More flow and less objectification: Dual influence mechanisms of generative AI use on employees’ proactive behaviors

Yi Mei, Ru Wang, Kai Yao, Shuhui Xu et al.
BMC Psychology
Flow Experience in Various Fields
article

More flow and less objectification: Dual influence mechanisms of generative AI use on employees’ proactive behaviors

Yi Mei, Ru Wang, Kai Yao, Shuhui Xu, Jingjing Zhong
article en

Abstract

Abstract Technological innovations represented by generative artificial intelligence (GAI) are disrupting existing work modalities, leaving academia in urgent need of empirical research regarding how GAI usage shapes employee cognition and behavior. Grounded in Social Cognitive Theory (SCT), this study constructs a dual-pathway model of value-creation to explore the underlying mechanisms and boundary conditions governing the impact of GAI use on employee proactive behavior (PB). Utilizing a three-wave time-lagged survey with a sample of 380 full-time knowledge workers, we investigate the mediating roles of flow experience (FE) (representing the “empowering humans” pathway) and workplace objectification (WO) (representing the “liberating humans” pathway), as well as the moderating role of digital literacy (DL). Generative AI use is positively related to employee proactive behavior. Specifically, GAI use cultivates flow experiences and mitigates workplace objectification, both of which partially mediate the relationship between GAI use and proactive behavior. Furthermore, digital literacy exhibits an asymmetrical moderating effect: it strengthens the negative relationship between GAI use and workplace objectification, along with the corresponding indirect effect; however, its moderating effect on the relationship between GAI use and flow experience is not statistically significant. These conclusions offer critical theoretical implications for human-AI collaboration in organizations and provide actionable practical guidance for corporate digital transformation and GAI deployment in modern enterprises.

BMC Psychology
Ningbo University (CN), Ningbo University of Technology (CN), Fudan University (CN), Zhejiang University of Finance and Economics (CN)
Quality Education
Openalex Percentile: Top 5%
Flow Experience in Various Fields
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