Keywords
AI-induced subjective liminality
Reduced group identification
AI crafting
Enterprise management
Published : 2026-08-14
Abstract
Artificial intelligence is reshaping enterprise work, but employees may experience psychological in-betweenness during such change. Using survey data from 120 Chinese employees with AI-use experience, this study examines whether leader support promotes AI crafting through three dimensions of AI-induced subjective liminality: anxiety, ambiguity, and reduced group identification. Results show that leader support reduces all three dimensions, while only reduced group identification significantly predicts AI crafting and mediates the relationship. The findings highlight the identity-protective role of leadership in AI-transformed enterprises.
References
Leong AMW, Bai JY, Rasheed MI, et al., 2025, AI Disruption Threat and Employee Outcomes: Role of Technology Insecurity, Thriving at Work, and Trait Self-esteem. International Journal of Hospitality Management, 2025(126): 104064. https://doi.org/10.1016/j.ijhm.2024.104064
Yin Z, Kong H, Baruch Y, et al., 2024, Interactive Effects of AI Awareness and Change-oriented Leadership on Employee-AI Collaboration: The Role of Approach and Avoidance Motivation. Tourism Management, 2024(105): 104966. https://doi.org/10.1016/j.tourman.2024.104966
Jeong J, Kim B-J, Lee J, 2024, Navigating AI Transitions: How Coaching Leadership Buffers Against Job Stress and Protects Employee Physical Health. Frontiers in Public Health, 2024(12): 1343932. https://doi.org/10.3389/fpubh.2024.1343932
Liang Y, Yang M, Wu TJ, 2025, Double-edged Sword Effect of Employee-AI Collaboration: The Role of AI Uncertainty and Digital Leadership. Leadership & Organization Development Journal, 46(6): 943–962. https://doi.org/10.1108/LODJ-08-2024-0553
Wang HY, Liu RH, Ao L, 2025, Transformational Leadership and Employee AI Usage: The Role of Perceived Organizational Support and Competitive Workplace Climate. Frontiers in Psychology, 2025(16): 1581337. https://doi.org/10.3389/fpsyg.2025.1581337
Li W, Qin X, Yam KC, et al., 2024, Embracing Artificial Intelligence (AI) With Job Crafting: Exploring Trickle-down Effect and Employee Outcomes. Tourism Management, 2024(104): 104935. https://doi.org/10.1016/j.tourman.2024.104935
Zhang J, Cao C, Shen S, et al., 2019, Examining Effects of Self-efficacy on Research Motivation Among Chinese University Teachers: Moderation of Leader Support and Mediation of Goal Orientations. The Journal of Psychology, 153(4): 414–435. https://doi.org/10.1080/00223980.2018.1564230
Dhar U, Boyatzis R, 2023, Development and Validation of a Scale to Measure Subjective Liminality: Individual Differences in the Perception of In-betweenness. Journal of Organizational Change Management, 36(8): 129–140. https://doi.org/10.1108/JOCM-07-2023-0279
Fornell C, Larcker DF, 1981, Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1): 39–50. https://doi.org/10.1177/002224378101800104
Li J, Huang JS, 2020, Dimensions of Artificial Intelligence Anxiety Based on the Integrated Fear Acquisition Theory. Technology in Society, 2020(63): 101410. https://doi.org/10.1016/j.techsoc.2020.101410
Brougham D, Haar J, 2018, Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ Perceptions of Our Future Workplace. Journal of Management & Organization, 24(2): 239–257. https://doi.org/10.1017/jmo.2016.55
Tims M, Bakker AB, Derks D, 2012, Development and Validation of the Job Crafting Scale. Journal of Vocational Behavior, 80(1): 173–186. https://doi.org/10.1016/j.jvb.2011.05.009