Human Resource Management supported by Artificial Intelligence tools: an exploratory study.
Abstract
Artificial Intelligence (AI) currently plays an increasingly important role in Human Resource Management (HRM), as it has great potential to benefit both employees and organizations. Its implementation allows for greater efficiency, accuracy, competitiveness, and, in many cases, significant cost reductions. This research analyzes how the implementation of AI streamlines administrative processes, optimizes the use of human capital, and increases organizational success. It also proposes a resource- and knowledge-based competency framework that allows for the assessment of an organization's readiness to adopt AI. This framework offers a theoretical perspective and practical guidance for implementing AI strategies in HRM.
References
Basu, S., Majumdar, B. & Mukherjee, K. (2022). Artificial Intelligence–HRM Interactions and Outcomes: A Systematic Review and Causal Configurational Explanation. Human Resource Management Review, 33(1).100893. https://doi.org/10.1016/j.hrmr.2022.100893
Budhwar, P., Kazmi, B. & Malik, A. (2022). Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework. Human Resource Management Review. 33(1), https://doi.org/10.1016/j.hrmr.2022.100940.
Cardillo, C. (2025). How many companies use AI? (New data from 2025). Exploding Topics. Obtained from, Exploding Topics: https://explodingtopics.com/blog/companies-using-ai
EdgeDelta. (2024). AI adoption by companies: 5 statistics you should know. Sourced from, EdgeDelta: https://edgedelta.com/company/blog/ai-adoption-by-companies
Hou, F., Zhai, Y. & You, X. (2020). An equilibrium in group decision and its association with the Nash equilibrium in game theory. Computers & Industrial Engineering, 139, 106138. https://doi.org/10.1016/ j.cie.2019.106138
Kaushal, N., Kaurav, R. & Sivathanu, B. (2021). Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis. Management Review Quarterly, 73, 455-493. https://doi.org/10.1007/s11301-021-00249-2
Maslej, N., Fattorini, L., Perrault, R., Gil, Y., Parli, V., Reuel, A., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Niebles, C., Shoham, Y., Wald, R. & Walsh, T. (2025). Artificial0020Intelligence Index Report 2025. Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University. https://aiindex.stanford.edu/wp-content/uploads/2025/04/Artificial-Intelligence-Index-Report-2025.pdf
Microsoft Corporation (2023). Microsoft Excel (versión 365) Software. https:\\microsoft.com/excel
Nash, J. (1951). Non-Cooperative Games. Annals of Mathematics, 54(2), 286–295. https://doi.org/10.2307/1969529
Python Software Foundation. (2024). Python (Versión 3.x) [Software]. https://www.python.org
Saxena, A. (2020). The Growing Role of Artificial Intelligence in Human Resource. EPRA, International Journal of Multidisciplinary Research, 6(8), 152-158. https://doi.org/10.36713/epra4924.
Tambe, P., Cappelli, P. & Yakubovich, V. (2019). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. California Management Review , 61 (4), 15-42. https://doi.org/10.1177/0008125619867910
Vrontis, D., Michael, C., Vijay, P., Shlomo, T., Anna, M. & Eleni, T. (2021). Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The International Journal of Human Resource Management, 33, 1237-1266. https://doi.org/10.1080/09585192.2020.1871398








