ArticleBehavioral sciences (Basel, Switzerland)2025
Effects of Employee-Artificial Intelligence (AI) Collaboration on Counterproductive Work Behaviors (CWBs): Leader Emotional Support as a Moderator.
Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- How Does Employee Dependence on Intelligent Machines Influence Turnover Intention? A Serial Mediation via Workplace Objectification and Workplace Loneliness.Behavioral sciences (Basel, Switzerland) · 2026Article
- Leadership and Human-AI Collaboration: A Measurement Scale.Behavioral sciences (Basel, Switzerland) · 2026Article
- A Moderated Mediation Model of AI-Driven Identity Threats and Employee Cyberloafing: The Role of AI-Inclusive Identity.European journal of investigation in health, psychology and education · 2026Article
- Collective and augmented intelligence outperform artificial intelligence on emotion recognition tests.Scientific reports · 2026Article
- Organizational psychological ownership drives employee-AI collaboration via AI crafting under paternalistic leadership.Scientific reports · 2026Article
- A SEM-ANN analysis to examine impact of AI overreliance through a social cognitive lens: the roles of dependency, FOMO, addiction, and anxiety.BMC psychology · 2026Article
- Autonomous enhancement or emotional depletion? The dual-path mechanism of AI usage on employees' work behavior.Frontiers in public health · 2026Article
- From predictive algorithms to generative intelligence: a decadal bibliometric mapping of global research frontiers in AI-driven mental health (2016-2025).Australian journal of psychology · 2026Review
- How does human-AI collaboration task complexity affect employee work engagement? The roles of humble leadership and AI self-efficacy.Frontiers in psychology · 2026Article
- When AI works, employees worry: the vigilance cost of AI delegation in hybrid work.Frontiers in psychology · 2026Article
- The Strength of Vulnerability: How Does Supervisors' Emotional Support-Seeking Promote Leadership Influence?Behavioral sciences (Basel, Switzerland) · 2025Article
- Influence of Leadership on Human-Artificial Intelligence Collaboration.Behavioral sciences (Basel, Switzerland) · 2025Article
- Will Teacher-AI Collaboration Enhance Teaching Engagement?Behavioral sciences (Basel, Switzerland) · 2025Article
- How the Human-Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective.Behavioral sciences (Basel, Switzerland) · 2025Article
- Unlocking human potential in the AI Age: how employee-AI collaboration transforms work engagement through dual psychological pathways.Frontiers in psychology · 2025Article
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4 authors.
Funding
Abstract
The accelerated advancement of artificial intelligence (AI) has positioned it as a novel colleague. However, as employees collaborate with AI colleagues in daily work, their communication and interaction with human colleagues may decrease. This may result in feelings of loneliness and a potential reduction in emotional resources, potentially leading to counterproductive work behavior (CWB). Drawing from the conservation of resources (COR) theory, we hypothesize that employee-AI collaboration may amplify employees' CWB due to loneliness and emotional fatigue. The potential mitigating effects of leader emotional support on these outcomes are also considered. To test these hypotheses, a 2 × 2 vignette experiment (N = 167) was conducted. The results demonstrate that employee-AI collaboration exerts a substantial positive influence on loneliness. Loneliness further increases employees' emotional fatigue, which in turn increases CWB. Leader emotional support-the care and motivation demonstrated by leaders has been identified as a key factor in reducing loneliness. This research contributes to the extant literature on employee-AI collaboration and CWB, and expands the application scope of COR. Practical implications arise for managers, who are encouraged to consider the impact of employee-AI collaboration on interpersonal interaction and to address employees' emotional needs in a timely manner.
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