The Role of Employee Well-Being in Mediating the Effect of AI Readiness on Employee Performance
DOI:
https://doi.org/10.61942/oikonomia.v3i4.651Keywords:
AI readiness, employee performance, employee well-being, mediation, digital transformationAbstract
This article examines the role of employee well-being as a mediator in the relationship between AI readiness and employee performance in the era of digital transformation. Organizational and individual readiness to adopt artificial intelligence (AI) is increasingly becoming a crucial determinant of work productivity, but its impact on employee performance is not always direct and linear. Based on the Job Demands-Resources (JD-R) and Conservation of Resources (COR) frameworks, this article synthesizes findings from various recent empirical studies (2021-2026) to develop a conceptual model that positions employee well-being as the primary link between AI readiness and performance outcomes. This study highlights a research gap in the lack of simultaneous integration of psychological and technological dimensions within a single model, particularly in the context of organizations in developing countries like Indonesia. The method used is a narrative-systematic literature review analyzing 30 Scopus-indexed and other reputable scientific articles with active DOIs. The synthesis results indicate that AI readiness has a positive effect on employee well-being when balanced with organizational support, training, and adaptive leadership, while its direct effect on performance tends to be weaker than its indirect effect through well-being. Theoretical and practical implications are formulated to drive human-centered and sustainable AI transformation strategies for organizations.
References
Alwali, J., & Alwali, W. (2025). Linking AI-driven HRM and emotional intelligence to leadership effectiveness and employee performance. Leadership & Organization Development Journal. https://doi.org/10.1108/lodj-05-2025-0358
Bai, S., Zhang, X., Yu, D., & Yao, J. (2024). Assist me or replace me? Uncovering the influence of AI awareness on employees' counterproductive work behaviors. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1449561
Bibi, M., Tan, T. G., & Yao, H. (2025). Exploring the impact of AI capabilities on employee well-being: A mediated moderation analysis. SAGE Open, 15. https://doi.org/10.1177/21582440251361981
Cramarenco, R. E., & Burcă-Voicu, M. I. (2023). The impact of artificial intelligence (AI) on employees' skills and well-being. Oeconomia Copernicana, 14(3), 731–767. https://doi.org/10.24136/oc.2023.022
G., G., & G., P. (2025). Artificial intelligence-driven human resource practices and employee well-being: Examining the mediating effect of employee engagement. Problems and Perspectives in Management, 23(4). https://doi.org/10.21511/ppm.23(4).2025.18
Gemmano, C. G., Molinaro, D., Bellini, D., De Simone, S., Giancaspro, M., Mondo, M., Buono, C., Barbieri, B., Spagnoli, P., & Manuti, A. (2026). Making artificial intelligence work at work: The role of human resource practices and personal attitudes in fostering meaningful work with artificial intelligence. Behavioral Sciences, 16(2). https://doi.org/10.3390/bs16020238
He, C., Teng, R., & Song, J. (2023). Linking employees' challenge-hindrance appraisals toward AI to service performance: The influences of job crafting, job insecurity and AI knowledge. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/ijchm-07-2022-0848
Jamil, K., Zhang, W., Anwar, A., & Mustafa, S. (2025). Exploring the influence of AI adoption and technological readiness on sustainable performance in Pakistani export sector manufacturing small and medium-sized enterprises. Sustainability, 17(8), 3599. https://doi.org/10.3390/su17083599
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, 12. https://doi.org/10.3389/fpubh.2024.1343932
Jerez-Jerez, M. (2025). A study of employee attitudes towards AI, its effect on sustainable development goals and non-financial performance in independent hotels. International Journal of Hospitality Management. https://doi.org/10.1016/j.ijhm.2024.103987
Jia, X., & Hou, Y. (2024). Architecting the future: Exploring the synergy of AI-driven sustainable HRM, conscientiousness, and employee engagement. Discover Sustainability, 5. https://doi.org/10.1007/s43621-024-00214-5
Joehnk, J., Weissert, M., & Wyrtki, K. (2021). Ready or not, AI comes—An interview study of organizational AI readiness factors. Business & Information Systems Engineering, 63(1), 5–20. https://doi.org/10.1007/s12599-020-00676-7
Kim, B.-J., & Lee, J. (2024). The mental health implications of artificial intelligence adoption: The crucial role of self-efficacy. Humanities and Social Sciences Communications, 11. https://doi.org/10.1057/s41599-024-04018-w
Kong, H., Yin, Z., Chon, K., Yuan, Y., & Yu, J. (2023). How does artificial intelligence (AI) enhance hospitality employee innovation? The roles of exploration, AI trust, and proactive personality. Journal of Hospitality Marketing & Management, 33, 261–287. https://doi.org/10.1080/19368623.2023.2258116
Lee, D., & Jo, Y. (2023). The job demands-resource model and performance: The mediating role of employee engagement. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1194018
Li, Z., Choi, M., & Kim, H.-E. (2025). AI awareness and employee innovation: A dual-pathway moderated mediation model within organizational systems. Systems, 13(7), 530. https://doi.org/10.3390/systems13070530
Loureiro, S., Bilro, R., & Neto, D. (2022). Working with AI: Can stress bring happiness? Service Business, 17, 233–255. https://doi.org/10.1007/s11628-022-00514-8
Mahade, A., Elmahi, A., Alomari, K. M., & Abdalla, A. A. (2025). Leveraging AI-driven insights to enhance sustainable human resource management performance: Moderated mediation model: Evidence from UAE higher education. Discover Sustainability, 6. https://doi.org/10.1007/s43621-025-01114-y
Nanjundeswaraswamy, T. S., Nagesh, P., & Bharath, S. (2026). The role of artificial intelligence in enhancing employee wellbeing and performance: A study of hybrid work environments. Journal of Organizational Effectiveness: People and Performance. https://doi.org/10.1108/joepp-09-2025-0858
Obeng, H., Gyamfi, B., Mensah, L., Arhinful, R., & Sarwar, A. (2026). Employees' behavioral intention to use AI and organizational efficiency in an emerging economy: The serial mediating roles of technology readiness and digital culture. Discover Artificial Intelligence, 6, 251. https://doi.org/10.1007/s44163-026-01015-7
Prasad, K., & De, T. (2024). Generative AI as a catalyst for HRM practices: Mediating effects of trust. Humanities and Social Sciences Communications, 11. https://doi.org/10.1057/s41599-024-03842-4
Qaiser, A., Arshad, I., Baig, M. A., Yasir, C., Mehmood, & Sheikh, M. A. (2025). Digital leadership and employee thriving in hybrid universities: The mediating role of psychological safety and the moderating effect of AI readiness. Research Journal for Social Affairs. https://doi.org/10.71317/rjsa.003.06.0646
Sadeghi, S. (2024). Employee well-being in the age of AI: Perceptions, concerns, behaviors, and outcomes. arXiv. https://doi.org/10.48550/arXiv.2412.04796
Shaikh, F., Afshan, G., Anwar, R. S., Abbas, Z., & Chana, K. A. (2023). Analyzing the impact of artificial intelligence on employee productivity: The mediating effect of knowledge sharing and well-being. Asia Pacific Journal of Human Resources. https://doi.org/10.1111/1744-7941.12385
Soomro, R., Al-Rahmi, W., Dahri, N. A., Almuqren, L., Almogren, A., & Aldaijy, A. (2025). A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-86464-3
Thangaraju, K., & Palani, P. (2025). Design and assessment of AI-enabled sustainable HR practices affecting employee performance with engagement mediation and personality moderation in the Indian IT industry. Eastern-European Journal of Enterprise Technologies, 3(13), 78–86. https://doi.org/10.15587/1729-4061.2025.325623
Xu, G., Xue, M., & Zhao, J. (2023). The relationship of artificial intelligence opportunity perception and employee workplace well-being: A moderated mediation model. International Journal of Environmental Research and Public Health, 20(3), 1974. https://doi.org/10.3390/ijerph20031974
Zhang, Q., Liao, G., Ran, X., & Wang, F. (2025). The impact of AI usage on innovation behavior at work: The moderating role of openness and job complexity. Behavioral Sciences, 15(4), 491. https://doi.org/10.3390/bs15040491
Zhang, Y., Liu, X., Yan, Q., & Na, M. (2025). Empowering workforces in AI-driven environments: Co-skilling, organizational support, and mitigating job insecurity. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1700129
Zhao, H., Ye, L., Guo, M., & Deng, Y. (2025). Reflection or dependence: How AI awareness affects employees' in-role and extra-role performance? Behavioral Sciences, 15(2), 128. https://doi.org/10.3390/bs15020128
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