ArticleBehavioral sciences (Basel, Switzerland)2025
How the Human-Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective.
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 9 papers.
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Who cites it
9 citing papers in PubMed.
- Why Hide AI Use? Psychological Configurations and Explainable Machine Learning Evidence from Marketing Work.Behavioral sciences (Basel, Switzerland) · 2026Article
- How Generative AI Use Styles Shape Academic Engagement: The Roles of Academic Impostor Syndrome and AI Policy Clarity.Behavioral sciences (Basel, Switzerland) · 2026Article
- How Does Digital Human Resource Management Foster a Sense of Relaxation Among Generation Z Employees?Behavioral sciences (Basel, Switzerland) · 2026Article
- Adoption, Domestication, and Alienation: A Case Study of Teacher AI Integration Practices and Their Driving Factors in K-12 Classrooms.Behavioral sciences (Basel, Switzerland) · 2026Article
- The Impact of Digital Leadership on Employee Resilience: The Mediating Roles of Work Gamification and Workplace Mindfulness and the Moderating Role of AI Anxiety.Behavioral sciences (Basel, Switzerland) · 2026Article
- Driving sustainable innovation outcomes through employee AI collaboration with the mediating role of sustainable career capacities.Scientific reports · 2026Article
- How does human-AI collaboration task complexity affect employee work engagement? The roles of humble leadership and AI self-efficacy.Frontiers in psychology · 2026Article
- AI-Augmented Co-Design in Healthcare: Log-Based Markers of Teamwork Behaviors and Collective Intelligence Outcomes.Behavioral sciences (Basel, Switzerland) · 2025Article
- How AI-Related Task Complexity Shapes Innovative Work Behavior: A Coping Theory Perspective.Behavioral sciences (Basel, Switzerland) · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Collaboration with artificial intelligence (AI) not only improves employees' work efficiency but also provides them with opportunities to participate in other behaviors. Among the various behaviors that have garnered the attention of organizations, cyberloafing has historically been a focus. Drawing from social identity theory (SIT), this research examines how human-AI collaboration diminishes cyberloafing by fostering AI identity (dependence, emotional energy, relatedness). A three-wave study (N = 381) revealed that AI collaboration strengthened employees' AI identity, enabling them to recognize their identity as AI collaborators and focus on in-role tasks, thereby reducing cyberloafing. Moreover, the research suggested that openness served as a moderating factor, further amplifying the positive relationship between human-AI collaboration and AI identity. Specifically, employees who exhibit higher levels of openness are more likely to demonstrate heightened AI identity and reduced cyberloafing. Conversely, employees with low openness exhibit less AI identity and more cyberloafing. This research employs SIT in the context of AI collaboration, thereby providing a theoretical foundation and practical guidance for reducing employee cyberloafing in the workplace and promoting organizational development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.