Artificial Intelligence Adoption and Psychological Factors Shaping Employee Mental Well-Being
DOI:
https://doi.org/10.51278/bse.v5i3.2148Keywords:
AI Adoption, Depresi, Psychological Safety, Ethical Leadership, Mental Well-BeingAbstract
Digital transformation through the adoption of artificial intelligence (AI) is increasingly changing the dynamics of modern work and creating new psychological risks for employees. This study aims to analyze the influence of AI Adoption on Depression, as well as to test the role of Psychological Safety as a mediator and Ethical Leadership as a moderator in this relationship. Using a quantitative approach with SEM-PLS, this study involved 195 employees from the financial sector, selected through purposive sampling with a minimum tenure of one year. The results show that AI adoption has a positive effect on depression and also has an impact on psychological safety. Furthermore, psychological safety has an insignificant effect on depression and mediates the relationship between AI adoption and depression. On the other hand, ethical leadership has a positive effect on psychological safety but does not moderate the of AI adoption on psychological safety. These findings indicate that psychological stress due to technology adoption is more influenced by AI-based work demands than leadership factors. Practically, this study emphasizes the importance of strengthening a psychologically safe work environment to minimize the negative impacts of digitalization and support employee mental well-being.
References
Aboud, K., Xiongying, N., & Qasim, M. (2023a). Impact of Ethical Leadership on Employees’ Psychological Safety and Voice Behavior; With Mediating Role of Belongingness. International Journal of Science and Business, 20(1), 42–57. https://doi.org/10.58970/IJSB.2055
Aboud, K., Xiongying, N., & Qasim, M. (2023b). Impact of Ethical Leadership on Employees’ Psychological Safety and Voice Behavior; With Mediating Role of Belongingness. International Journal of Science and Business, 20(1), 42–57. https://doi.org/10.58970/IJSB.2055
Almubarokah, N. B., Bagis, F., Endratno, H., Ika, ), & Rahmawati, Y. (2024). HOSPITAL NURSE TURNOVER INTENTION : THE ROLE OF WORK STRESS AND WORKLOAD WITH JOB SATISFACTION AS MEDIATION. Business and Accounting Research (IJEBAR) Peer Reviewed-International Journal, 8. https://jurnal.stie-aas.ac.id/index.php/IJEBAR
Andresen, E. M., Malmgren, J. A., Carter, W. B., & Patrick, D. L. (1994). Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D. American Journal of Preventive Medicine, 10(2), 77–84. https://doi.org/10.1016/S0749-3797(18)30622-6
Bagis, F., Adawiyah, W. R., & Sudjadi, A. (2024). Employee’s Spiritual Well-Being: Diminishing the Negative Fibs of Job Stress, Ego Depletion and Cyberloafing. Revista de Gestão Social e Ambiental, 18(6), e05686. https://doi.org/10.24857/rgsa.v18n6-004
Bagis, F., Adawiyah, W. R., Tubastuvi, N., . D., & Umairoh, J. P. M. (2025). Beyond Religion: Applying Islamic Spiritual Well-Being to Improve Ethical Behavior in Modern Organizations. Journal of Cultural Analysis and Social Change, 2030–2039. https://doi.org/10.64753/jcasc.v10i2.1901
Bagis, F., Faridli, E. M., & Hasanah, U. (2025). Mental Health Evaluation As A Preventive Measure For Student Academic Disorders. EJI | Education Journal of Indonesia, 6, 21–30. https://publication.umsu.ac.id/index.php/eji
Bagis, F., Rabiatul Adawqiyah, W., Purnomo, R., Pradipta Setyanto, R., Author, C., Akhmad Dahlan, J. K., & Box, P. (2025). The Power of Islamic Spirituality in Diminishing Darkness of Job Stress, Ego Depletion and Cyberloafing Diversion in the Islamic Workplace Culture. In MANAGEMENT AND ACCOUNTING REVIEW (Vol. 24).
Bagis, F., Wiwik, ) ;, & Adawiyah, R. (2025). MIX: Jurnal Ilmiah Manajemen Divine Guidance in The Face of Toxicity: How Islamic Leadership Navigates Workplace Stress and Mental Wellbeing in Higher Education Institutions. https://doi.org/10.22441/jurnal_mix.2025.v15i2.004
Bakker, A. B., & Demerouti, E. (2017a). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Bakker, A. B., & Demerouti, E. (2017b). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024a). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159–182. https://doi.org/10.1002/job.2735
Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024b). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of Organizational Behavior, 45(2), 159–182. https://doi.org/10.1002/job.2735
Bena, A., Giraudo, M., Leombruni, R., & Costa, G. (2013). Job tenure and work injuries: a multivariate analysis of the relation with previous experience and differences by age. BMC Public Health, 13(1), 869. https://doi.org/10.1186/1471-2458-13-869
Brady, G. M., Truxillo, D. M., Cadiz, D. M., Rineer, J. R., Caughlin, D. E., & Bodner, T. (2020). Opening the black box: Examining the nomological network of work ability and its role in organizational research. Journal of Applied Psychology, 105(6), 637–670. https://doi.org/10.1037/apl0000454
Braganza, A., Chen, W., Canhoto, A., & Sap, S. (2021). Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust. Journal of Business Research, 131, 485–494. https://doi.org/10.1016/j.jbusres.2020.08.018
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
Brown, M. E., & Treviño, L. K. (2006). Ethical leadership: A review and future directions. The Leadership Quarterly, 17(6), 595–616. https://doi.org/10.1016/j.leaqua.2006.10.004
Budhwar, P., Malik, A., De Silva, M. T. T., & Thevisuthan, P. (2022a). Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda. The International Journal of Human Resource Management, 33(6), 1065–1097. https://doi.org/10.1080/09585192.2022.2035161
Budhwar, P., Malik, A., De Silva, M. T. T., & Thevisuthan, P. (2022b). Artificial intelligence–challenges and opportunities for international HRM: a review and research agenda. In International Journal of Human Resource Management (Vol. 33, Issue 6, pp. 1065–1097). Routledge. https://doi.org/10.1080/09585192.2022.2035161
Caplin, A., Lee, M., Leth-Petersen, S., Saeverud, J., & Shapiro, M. (2022). How Worker Productivity and Wages Grow with Tenure and Experience: The Firm Perspective. https://doi.org/10.3386/w30342
Chen, Y., Hu, Y., Zhou, S., & Yang, S. (2023). Investigating the determinants of performance of artificial intelligence adoption in hospitality industry during COVID-19. International Journal of Contemporary Hospitality Management, 35(8), 2868–2889. https://doi.org/10.1108/IJCHM-04-2022-0433
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023a). Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review, 33(1), 100899. https://doi.org/10.1016/j.hrmr.2022.100899
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023b). Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review, 33(1). https://doi.org/10.1016/j.hrmr.2022.100899
Chuang, L.-M., & Huang, S.-H. (2025a). AI-Supported Healthcare Technology Resistance and Behavioral Intention: A Serial Mediation Empirical Study on the JD-R Model and Employee Engagement. Systems, 13(4), 268. https://doi.org/10.3390/systems13040268
Chuang, L.-M., & Huang, S.-H. (2025b). AI-Supported Healthcare Technology Resistance and Behavioral Intention: A Serial Mediation Empirical Study on the JD-R Model and Employee Engagement. Systems, 13(4), 268. https://doi.org/10.3390/systems13040268
Chuang, Y. T., Chiang, H. L., & Lin, A. P. (2025). Insights from the Job Demands–Resources Model: AI’s dual impact on employees’ work and life well-being. International Journal of Information Management, 83. https://doi.org/10.1016/j.ijinfomgt.2025.102887
Dheer, R. J. S., Terpstra-Tong, J., Treviño, L., Ralston, D. A., Tjemkes, B., Paparella, L. S., Crowley-Henry, M., Burns, C., Froese, F., Poeschl, G., Morales, O., Szabo, E., Fu, P., Srinivasan, N., Molteni, M., Butt, A., Furrer, O., Darder, F. L., Kangasniemi-Haapala, M., … Alas, R. (2026). Impact of organizational culture on employee psychological safety perception: The pivotal role of trust in top management across 18 societies. International Business Review, 35(1). https://doi.org/10.1016/j.ibusrev.2025.102523
Edmondson, A. (1999). Psychological Safety and Learning Behavior in Work Teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999
Edmondson, A. C., & Lei, Z. (2014). Psychological Safety: The History, Renaissance, and Future of an Interpersonal Construct. Annual Review of Organizational Psychology and Organizational Behavior, 1(1), 23–43. https://doi.org/10.1146/annurev-orgpsych-031413-091305
Frazier, M. L., Fainshmidt, S., Klinger, R. L., Pezeshkan, A., & Vracheva, V. (2017). Psychological Safety: A Meta‐Analytic Review and Extension. Personnel Psychology, 70(1), 113–165. https://doi.org/10.1111/peps.12183
Giuntella, O., Konig, J., & Stella, L. (2025a). Artificial intelligence and the wellbeing of workers. Scientific Reports, 15(1), 20087. https://doi.org/10.1038/s41598-025-98241-3
Giuntella, O., Konig, J., & Stella, L. (2025b). Artificial intelligence and the wellbeing of workers. Scientific Reports, 15(1), 20087. https://doi.org/10.1038/s41598-025-98241-3
Guo, J., Jia, F., & Chen, L. (2026). How generative AI adoption affects supply chain resilience: An operations and supply chain management perspective. Technological Forecasting and Social Change, 224. https://doi.org/10.1016/j.techfore.2025.124446
Hair et al. (2021). Classroom Companion: Business Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R AAWorkbook. http://www.
Hasanah, U., & Bagis, F. (2024). Causes of High Turnover Intention: Due to Work Family Conflict and Work Environment Factors. Revista de Gestão Social e Ambiental, 18(1), e06429. https://doi.org/10.24857/rgsa.v18n1-116
Haznil Zainal, Agustin Basriani, Adi Rahmat, & Elmi Yadi. (2023). Ethical Leadership And Voice Behavior: Mediating Psychological Safety And Ethical Culture. Jurnal Manajemen, 27(3), 493–514. https://doi.org/10.24912/jm.v27i3.1448
Hobfoll, S. E., Halbesleben, J., Neveu, J.-P., & Westman, M. (2018). Conservation of Resources in the Organizational Context: The Reality of Resources and Their Consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5(1), 103–128. https://doi.org/10.1146/annurev-orgpsych-032117-104640
Ibrahim, I. A., Doddanavar, I., Abdelrahim, S. M., & Abou Zeid, M. A. G. (2025). The role of ethical leadership in promoting internal whistleblowing among nurses: A dual-mediation model analysis of psychological safety and reporting attitudes. International Journal of Nursing Sciences, 12(5), 431–437. https://doi.org/10.1016/j.ijnss.2025.08.004
Inoue, A., Eguchi, H., Kachi, Y., & Tsutsumi, A. (2025). Moderating Effect of Psychosocial Safety Climate on the Association of Job Demands and Job Resources With Psychological Distress Among Japanese Employees: A Cross-sectional Study. Safety and Health at Work, 16(2), 213–219. https://doi.org/10.1016/j.shaw.2025.02.001
Jin, G., Jiang, J., & Liao, H. (2024). The work affective well-being under the impact of AI. Scientific Reports, 14(1), 25483. https://doi.org/10.1038/s41598-024-75113-w
Kim, B. J., Kim, M. J., & Lee, J. (2025). The dark side of artificial intelligence adoption: linking artificial intelligence adoption to employee depression via psychological safety and ethical leadership. Humanities and Social Sciences Communications, 12(1). https://doi.org/10.1057/s41599-025-05040-2
Kim, B.-J., Kim, M.-J., & Lee, J. (2025a). The dark side of artificial intelligence adoption: linking artificial intelligence adoption to employee depression via psychological safety and ethical leadership. Humanities and Social Sciences Communications, 12(1), 704. https://doi.org/10.1057/s41599-025-05040-2
Kim, B.-J., Kim, M.-J., & Lee, J. (2025b). The dark side of artificial intelligence adoption: linking artificial intelligence adoption to employee depression via psychological safety and ethical leadership. Humanities and Social Sciences Communications, 12(1), 704. https://doi.org/10.1057/s41599-025-05040-2
Liu, X., Huang, Y., Kim, J., & Na, S. (2023). How Ethical Leadership Cultivates Innovative Work Behaviors in Employees? Psychological Safety, Work Engagement and Openness to Experience. Sustainability, 15(4), 3452. https://doi.org/10.3390/su15043452
Memon, S., Bibi, S., & He, G. (2025). Integration of AI and ML in Tuberculosis (TB) Management: From Diagnosis to Drug Discovery. Diseases, 13(6), 184. https://doi.org/10.3390/diseases13060184
Mohammad Zyoud, M., K Bsharat, D. R., & Dweikat, K. A. (n.d.). ISRG PUBLISHERS Introduction. https://doi.org/10.5281/zenodo.10939470
Newman, S. A., Ford, R. C., & Marshall, G. W. (2020). Virtual Team Leader Communication: Employee Perception and Organizational Reality. International Journal of Business Communication, 57(4), 452–473. https://doi.org/10.1177/2329488419829895
Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 100857. https://doi.org/10.1016/j.hrmr.2021.100857
Raisch, S., & Krakowski, S. (2021). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Ratnawati, Y., Bagis, F., & Suyoto3, ). (2024). QUALITY OF WORK LIFE AND TURNOVER INTENTION IN NURSES: THE MEDIATING ROLE OF ORGANIZATIONAL COMMITMENT. Business and Accounting Research (IJEBAR) Peer Reviewed-International Journal, 8. https://jurnal.stie-aas.ac.id/index.php/IJEBAR
Schwepker, C. H., & Dimitriou, C. K. (2021). Using ethical leadership to reduce job stress and improve performance quality in the hospitality industry. International Journal of Hospitality Management, 94. https://doi.org/10.1016/j.ijhm.2021.102860
Sharma, V., Deb, S., Mahajan, Y., Ghosal, A., & Kapse, M. (2025). Psychological impacts of AI-induced job displacement among Indian IT professionals: a Delphi-validated thematic analysis. International Journal of Qualitative Studies on Health and Well-Being, 20(1). https://doi.org/10.1080/17482631.2025.2556445
Sri Rahayu, Y., Darun Naja, C., Kediri, I., Timur, J., & Malang, U. (2023). PENERAPAN ARTIFICIAL INTELLIGENCE SEBAGAI INOVASI DI ERA DISRUPSI DALAM MENGURANGI RESIKO LEMBAGA KEUANGAN MIKRO SYARIAH. WADIAH: Jurnal Perbankan Syariah, 7(2), 117–142. https://doi.org/10.30762/wadiah
Valtonen, A., Saunila, M., Ukko, J., Treves, L., & Ritala, P. (2025). AI and employee wellbeing in the workplace: An empirical study. Journal of Business Research, 199. https://doi.org/10.1016/j.jbusres.2025.115584
van Kessel, R., Wong, B. L. H., Clemens, T., & Brand, H. (2022). Digital health literacy as a super determinant of health: More than simply the sum of its parts. Internet Interventions, 27, 100500. https://doi.org/10.1016/j.invent.2022.100500
Xu, G., Xue, M., & Zhao, J. (2023). The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support. International Journal of Environmental Research and Public Health, 20(6). https://doi.org/10.3390/ijerph20065147
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