Xu Jin-Qian, Wu Tung-Ju, Duan Wen-Yan, Cui Xuan-Xuan
Business School, Harbin Institute of Technology, Harbin 150001, China.
School of Management, Harbin Institute of Technology, Harbin 150001, China.
Behav Sci (Basel). 2025 Jun 25;15(7):859. doi: 10.3390/bs15070859.
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.
与人工智能（AI）合作不仅能提高员工的工作效率，还为他们提供参与其他行为的机会。在各种引起组织关注的行为中，上网偷懒一直是一个焦点。本研究借鉴社会认同理论（SIT），探讨人机协作如何通过塑造人工智能身份（依赖感、情感能量、关联性）来减少上网偷懒行为。一项三阶段研究（N = 381）表明，与人工智能的合作强化了员工的人工智能身份，使他们能够认同自己作为人工智能协作者的身份，并专注于本职工作，从而减少上网偷懒。此外，研究表明开放性起到了调节作用，进一步增强了人机协作与人工智能身份之间的正向关系。具体而言，表现出较高开放性的员工更有可能展现出更强的人工智能身份认同感，并减少上网偷懒行为。相反，开放性较低的员工表现出的人工智能身份认同感较弱，上网偷懒行为更多。本研究在人工智能协作的背景下运用社会认同理论，从而为减少职场中员工的上网偷懒行为和促进组织发展提供了理论基础和实践指导。
