Artificial intelligence and workplace well-being: a Artificial intelligence and workplace well-being: a bibliometric analysis of professional identity, job demands, bibliometric analysis of professional identity, job demands, and psychological empowerment

Aria, M. y Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.https://doi.org/10.1016/j.joi.2017.08.007

Bakir, S., Dogru, T., Bilgihan, A. y Ayoun, B. (2025). AI awareness and employee-related out comes: A systematic review of the hospitality literature and a framework for future research. International journal of hospitality management, 124. https://doi.org/10.1016/j.ijhm.2024.103973

Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D. y Woo, S. E. (2024). A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice. Journal of organizational behavior, 45 (2, SI), 159–182. https://doi.org/10.1002/job.2735

Budhwar, P., Malik, A., De Silva, M. T. T. y Thevisuthan, P. (2022). Artificial intelligence challenges and opportunities for international HRM: a review and research agenda. International journal of human resource management, 33(6, SI), 1065–1097. https://doi.org/10.1080/09585192.2022.2035161

Chuang, Y.-T., Chiang, H.-L. y 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

Dong, R. K., Li, X. y Hernan, B. R. (2024). Psychological safety and psychosocial safety climate in workplace: A bibliometric analysis and systematic review towards a research agenda. Journal of safety research, 91, 1–19. https://doi.org/10.1016/j.jsr.2024.08.001

Gómez, J. A., Gavrila, S., Ancillo, A. de L. y Nunez, del Val, M.T. (2025). Towards sustainable business in the automation era: Exploring its trans formative impact from top management and employee perspective. Technological forecasting and social change, 210. https://doi.org/10.1016/j.techfore.2024.123908 Hessari, H., Bai, A. y Daneshmandi, F. (2024).

Generative AI: Boosting Adaptability and Reducing Workplace Overload. Journal of computer information systems. https://doi.org/10.1080/08874417.2024.2417672

Jia, N., Luo, X., Fang, Z. y Liao, C. (2024). When and how artificial intelligence augments employee creativity. Academy of management journal, 67(1), 5–32. https://doi.org/10.5465/amj.2022.0426

Kamboj, J. A. E. (2026). Mapping the complex interactions between work-family conflict, AI technostress, work-life balance and employees’ well-being: moderated mediation analysis. International journal of conflict management, 37(3). 713-741. https://doi.org/10.1108/IJCMA-08-2025-0274

Leong, A. M. W., Bai, J. Y., Rasheed, M. I., Hameed, Z. y Okumus, F. (2025). AI disruption threat and employee outcomes: Role of technology insecurity, thriving at work, and trait self-esteem. International journal of hospitality management, 126.https://doi.org/10.1016/j.ijhm.2024.104064

Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A. y Patterson, P. G. (2020). Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps? Journal of service theory and

practice, 30(3), 361–391. https://doi.org/10.1108/JSTP-04-2019-0088

Makarius, E. E., Mukherjee, D., Fox, J. D. y Fox, A. K. (2020). Rising with the machines: A socio technical framework for bringing artificial intelligence into the organization. Journal of business research, 120, 262–273. https://doi.org/10.1016/j.jbusres.2020.07.045

Monod, E., Mayer, A. S., Straub, D., Joyce, E. y Qi, J. (2024). From worker empowerment to managerial control: The devolution of AI tools’ intended positive implementation to their negative consequences. Information and organization, 34(1). https://doi.org/10.1016/j.infoandorg.2023.100498

Nayak, S., Budhwar, P. y Malik, A. (2025). Unveiling the hidden costs of AI in hospitality industry: The adverse effect of algorithmic human resources management (AHRM) on stress, wellbeing, and commitment. International journal of hospitality management, 129. https://doi.org/10.1016/j.ijhm.2025.104206

Ng, E. S., Stanton, P., Umeh, C., Bamber, G. J., Stone, D., Lukaszewski, K., Aw, S., Lyons, S., Schweitzer, L., Ren, S., Ozbilgin, M. F. y Varma, A. (2025).

Megatrends affecting the world of work: Implications for human resource management. Personnel review, 54(5, SI), 1113–1149. https://doi.org/10.1108/PR-02-2025-0100

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E.,

Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W.,Mayo-Wilson, E., McDonald, S. y Alonso-Fernández, S. (2021).

Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología, 74(9), 790–799. https://doi.org/https://doi.org/10.1016/j.recesp.2021.06.016

Pan, Y. (2025). How and When Organizational Artificial Intelligence Adoption Impacts Employees’ Well-Being. International journal of mental health promotion, 27(11), 1769–1780. https://doi.org/10.32604/ijmhp.2025.070147

Passalacqua, M., Pellerin, R., Magnani, F., Joblot, L., Rosin, F., Yahia, E. y Leger, P.-M. (2025).

Safeguarding worker psychosocial well-being in the age of AI: The critical role of decision control. International journal of human-computer studies, 205.https://doi.org/10.1016/j.ijhcs.2025.103649

Pinho, J. C., Fontes, A. y Santos, G. G. (2026). Balancing the double-edged sword of artificial Intelligence: Job demands, resources, and Work-Life balance. Computers in human behavior reports, 21. https://doi.org/10.1016/j.chbr.2025.100924

Qin, M., Qiu, S. y Mou, J. (2025). Task supported or task decision-making? Which AI workplace enhances employee AI identity more in manufacturing enterprise. Technology in society, 83. https://doi.org/10.1016/j.techsoc.2025.103006

Routray, R., Choudhary, P. y Sinha, V. (2025). Intelligent technology and enhanced well-being: can artificial intelligence mitigate digital overload? Future business journal, 11(1). https://doi.org/10.1186/s43093-025-00691-8

Saraswati, K. D. H., Fajrianthi, F. y Sami’an, S. (2025). Employee well-being in robot, artificial intelligence and service automation-integrated workplace: A scoping review. Sa journal of industrial psychology, 51. https://doi.org/10.4102/sajip.v51i0.2323

Schrade, F., Walczok, M. y Bipp, T. (2026). Job Demand or Resource? Zeitschrift fur arbeits und organisationspsychologie, 70(1), 18–28. https://doi.org/10.1026/0932-4089/a000456

Selenko, E., Bankins, S., Shoss, M., Warburton, J. y Restubog, S. L. D. (2022). Artificial Intelligence and the Future of Work: A Functional-Identity Perspective. Current directions in psychological science, 31(3), 272–279. https://doi.org/10.1177/09637214221091823

Shi, X., Hao, F. y Yuan, Y. (2026). Long-term effects of AI-Powered robots on employee creativity in the hospitality industry: psychological mechanisms of human-AI collaboration. Journal of hospitality marketing & management, 35(1), 1–23. https://doi.org/10.1080/19368623.2025.2555367

Song, X., Shen, J. y Yang, Z. (2025). The Double-Edged Impact of AI Appraisals on Workplace Cheating: The Roles of Psychological Empowerment and Job Complexity. Journal of business ethics. https://doi.org/10.1007/s10551-025-06232-1

Soulami, M., Benchekroun, S. y Galiulina, A. (2024). Exploring how AI adoption in the workplace affects employees: a bibliometric and systematic review. Frontiers in artificial intelligence, 7. https://doi.org/10.3389/frai.2024.1473872 Ubaid, A. M. (2026). Organizational excellence in the digital era: a bibliometric and thematic analysis. International journal of lean six sigma, 1-37. https://doi.org/10.1108/IJLSS-08-2025-0218

Valtonen, A., Saunila, M., Ukko, J., Treves, L. y 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.2025.115584van Eck, N. J. y Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

Viljakainen, A., Silmukari, J., Roto, V. y Caic. M. y Aromaa, S. (2025). AI and the future of industrial work: a framework for enhancing employee experience from satisfaction to flourishing. Behaviour & information technology. https://doi.org/10.1080/0144929X.2025.2596889

Wang, H., Xu, G., Hu, L. y Liu, Y. (2025). Opportunity and threat: how employees’ perceptions of artificial intelligence influence job crafting. Baltic journal of management, 20(4), 511-527. https://doi.org/10.1108/BJM-09-2024-0525

Wang, W., Hackett, R. D., Archer, N. y Xu Z. y Yuan, Y. (2025). Will AI-enabled conversational agents acting as digital employees enhance employee job identity? Information & management, 62(2), 1-16. https://doi.org/10.1016/j.im.2025.104099

Zhao, P., He, G. y Guan, J. (2026). The Ethical Costs of Artificial Intelligence: Investigating How and When Workplace Artificial Intelligence Usage Promotes Employee Unethical Outcomes. Journal of business ethics, 203(3), 531–547. https://doi.org/10.1007/s10551-025-06060-3

Zheng, J. y Zhang, T. (2025). Association Between AI Awareness and Emotional Exhaustion: The Serial Mediation of Job Insecurity and Work Interference with Family. Behavioral sciences, 15(4), 1-12. https://doi.org/10.3390/bs15040401