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Source matters, AI anxiety less so: comparing employee reactions to human, AI, and hybrid performance feedback and the limited role of AI anxiety. [PDF]
Marót JL, Palcsó T, Szabó ZP.
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Responsible workplace data governance and organizational performance: evidence from Chinese listed firms. [PDF]
Chen L.
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Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration [PDF]
Given the scarcity of previous studies on employee–AI collaboration and its impact on employee behavior and user engagement, we investigated its potential to drive user engagement using a mixed-method approach.
Pantea Foroudi
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Generative AI (GenAI) has emerged as a powerful tool in the modern workplace, delivering significant benefits to both employees and organizations.
Andreawan Honora, Arnold Japutra
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Dancing with AI: how employee–AI collaboration shapes employee creativity
Journal of Managerial PsychologyPurpose The purpose of this study is to examine the relationship between employee–AI collaboration and employee creativity by considering the mediation of skill malleability. This study also investigates AI use anxiety and personal utility of AI as first-stage moderators, drawing on conservation of resources ...
Peng Xie, Lu Ma, Fen Fen Tian
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Employee–AI Collaboration and Organizational Productivity
The use of Artificial Intelligence (AI) to support work processes has become a common practice in various organizations. With the increasing adoption of AI in various organizational functions, the interaction between human capabilities and AI systems has become a central issue in achieving optimal performance.Sofyan Ashari Nur, Muafi Muafi
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Leadership & Organization Development Journal
Purpose Employee-AI collaboration is increasingly critical in the workplace, motivating employees to adopt new working models. Grounded in uncertainty management theory (UMT), this study develops a moderated mediation model to examine how and when employee-AI collaboration influences job crafting and knowledge ...
Yuan Liang, Meixia Yang, Tung-Ju Wu
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Purpose Employee-AI collaboration is increasingly critical in the workplace, motivating employees to adopt new working models. Grounded in uncertainty management theory (UMT), this study develops a moderated mediation model to examine how and when employee-AI collaboration influences job crafting and knowledge ...
Yuan Liang, Meixia Yang, Tung-Ju Wu
openaire +1 more source

