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How Employee–AI Collaboration Influences Coworkers’ Helping Behaviour: An Attribution Theory Perspective
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- TRV-2026-2576raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Survey
- Sources
- 1 sourcePeer-reviewed
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As artificial intelligence (AI) is increasingly integrated into the workplace, employee-AI collaboration is evolving from a personal productivity tool to a social cue that coworkers can observe and interpret. Existing research has largely emphasised the performance and well-being effects of employee-AI collaboration; however, few studies have revealed, from the observer's perspective, its potential negative spillover mechanisms on coworkers' helping behaviour. Based on attribution theory, this study constructs a…
The problem
In a two-wave survey of 375 coworker evaluations in Chinese firms, the more coworkers saw a colleague as collaborating with AI, the less help they gave that colleague (r = -0.530), partly because they read it as laziness or avoiding responsibility.
What this doesn’t fix
Study 1 is correlational and rests on coworkers' perceptions of a colleague's AI use rather than usage logs or actual collaboration frequency, and its participants were from firms in Chinese regions such as Hubei and Jiangsu.
Sources
1 on file- Behavioral Sciencesdoi:10.3390/bs16060985
Cite this record
v1Truvace Impact Record TRV-2026-2576, v1: “How Employee–AI Collaboration Influences Coworkers’ Helping Behaviour: An Attribution Theory Perspective.” Truvace, 2026-11-12. /record/TRV-2026-2576 (accessed on the day you copy it). sha256 610527a96138f582…
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