The heterogeneous impact of team faultlines on proactive behavior in the context of artificial intelligence: an information processing perspective

Purpose This study aims to investigate the impact of various types of team faultlines on individual proactive behavior. Using a questionnaire survey method, findings derived from 493 employees reveal the relationship between team faultlines and proactive behavior. Design/methodology/approach In the current dynamic and increasingly intricate global economic landscape, the work team stands as the fundamental unit responsible for executing tasks within firms, profoundly influencing their development and quality. Two contrasting perspectives posit that team faultlines can either diminish individual proactive behavior by reducing employees’ inclination to communicate or conversely stimulate proactive behavior by facilitating information exchange. Findings Information-based team faultlines significantly enhance individual proactive behavior; team information deep processing plays a crucial mediating role in the relationship between information-based team faultlines and individual proactive behavior; and artificial intelligence (AI) adoption notably moderates the negative effects of social-based faultlines on team information deep processing Originality/value This study delves into the substantial influence of team faultlines on proactive individual behaviors and explores the moderating role of AI adoption in the relationship between team faultlines and proactive behaviors, aiming to elucidate the underlying mechanisms shaping the influence of team faultlines on individual proactive behavior.

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Publication Details

Journal
Chinese Management Studies
Published
2025-08-04
DOI
https://doi.org/10.1108/cms-07-2024-0513
Primary Topic
Team Dynamics and Performance
Type
article
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article

The heterogeneous impact of team faultlines on proactive behavior in the context of artificial intelligence: an information processing perspective

Yujie Yang, Qichun Yao, Juan Du
Chinese Management Studies
Team Dynamics and Performance
article

The heterogeneous impact of team faultlines on proactive behavior in the context of artificial intelligence: an information processing perspective

Yujie Yang, Qichun Yao, Juan Du
article en

Abstract

Purpose This study aims to investigate the impact of various types of team faultlines on individual proactive behavior. Using a questionnaire survey method, findings derived from 493 employees reveal the relationship between team faultlines and proactive behavior. Design/methodology/approach In the current dynamic and increasingly intricate global economic landscape, the work team stands as the fundamental unit responsible for executing tasks within firms, profoundly influencing their development and quality. Two contrasting perspectives posit that team faultlines can either diminish individual proactive behavior by reducing employees’ inclination to communicate or conversely stimulate proactive behavior by facilitating information exchange. Findings Information-based team faultlines significantly enhance individual proactive behavior; team information deep processing plays a crucial mediating role in the relationship between information-based team faultlines and individual proactive behavior; and artificial intelligence (AI) adoption notably moderates the negative effects of social-based faultlines on team information deep processing Originality/value This study delves into the substantial influence of team faultlines on proactive individual behaviors and explores the moderating role of AI adoption in the relationship between team faultlines and proactive behaviors, aiming to elucidate the underlying mechanisms shaping the influence of team faultlines on individual proactive behavior.

Chinese Management Studies
Shanghai International Studies University (CN), Anqing Normal University (CN)
Openalex Percentile: Top 78%
Team Dynamics and Performance
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The heterogeneous impact of team faultlines on proactive behavior in the context of artificial intelligence: an information processing perspective — Yujie Yang, Qichun Yao, et al. · Chinese Management Studies (2025) | TGRS Research Map | TGRS