How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective
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...
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MDPI AG
2025-06-01
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| Series: | Behavioral Sciences |
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| Online Access: | https://www.mdpi.com/2076-328X/15/7/859 |
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| author | Jin-Qian Xu Tung-Ju Wu Wen-Yan Duan Xuan-Xuan Cui |
| author_facet | Jin-Qian Xu Tung-Ju Wu Wen-Yan Duan Xuan-Xuan Cui |
| author_sort | Jin-Qian Xu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e2f778d2f3a44d6d92c258d61162e2b8 |
| institution | DOAJ |
| issn | 2076-328X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj-art-e2f778d2f3a44d6d92c258d61162e2b82025-08-20T03:13:42ZengMDPI AGBehavioral Sciences2076-328X2025-06-0115785910.3390/bs15070859How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity PerspectiveJin-Qian Xu0Tung-Ju Wu1Wen-Yan Duan2Xuan-Xuan Cui3Business School, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Management, Harbin Institute of Technology, Harbin 150001, ChinaBusiness School, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Management, Harbin Institute of Technology, Harbin 150001, ChinaCollaboration 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.https://www.mdpi.com/2076-328X/15/7/859human–AI collaborationdependenceemotional energyrelatednesscyberloafingopenness |
| spellingShingle | Jin-Qian Xu Tung-Ju Wu Wen-Yan Duan Xuan-Xuan Cui How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective Behavioral Sciences human–AI collaboration dependence emotional energy relatedness cyberloafing openness |
| title | How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective |
| title_full | How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective |
| title_fullStr | How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective |
| title_full_unstemmed | How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective |
| title_short | How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective |
| title_sort | how the human artificial intelligence ai collaboration affects cyberloafing an ai identity perspective |
| topic | human–AI collaboration dependence emotional energy relatedness cyberloafing openness |
| url | https://www.mdpi.com/2076-328X/15/7/859 |
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