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International Journal of Science, Strategic Management and Technology

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ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT: ENHANCING EFFICIENCY WHILE CHALLENGING EMPLOYEE EXPERIENCE

AUTHORS:
Dr. Tanuja Jain
Mentor
Affiliation
Associate ProfessorJIMS, Jaipur
DOI: 10.55041/ijsmt.v2i4.017
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract
The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) has significantly transformed traditional HR functions, enabling organizations to achieve higher levels of efficiency, accuracy, and strategic alignment. AI-driven applications are increasingly being utilized across various HR domains, including recruitment and selection, performance management, employee engagement, learning and development, and workforce analytics. These technologies facilitate automation of routine tasks, enhance decision-making through predictive analytics, and contribute to reducing human biases in HR processes.

Despite these advantages, the growing adoption of AI in HRM also raises critical concerns related to employee experience, job displacement, ethical considerations, algorithmic transparency, and data privacy. The shift from human-centric to technology-driven HR practices has implications for employee trust, organizational culture, and interpersonal relationships within the workplace.

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 04
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Apr 03 2026
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Jain, T. (2026). Artificial Intelligence in Human Resource Management: Enhancing Efficiency While Challenging Employee Experience. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.017

Jain, Tanuja. "Artificial Intelligence in Human Resource Management: Enhancing Efficiency While Challenging Employee Experience." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.017.

Jain, Tanuja. "Artificial Intelligence in Human Resource Management: Enhancing Efficiency While Challenging Employee Experience." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.017.

References
1.Ali, A. F., Molnar, G. M., & Frangos, P. F. (2023). Revisiting the role of HR in the age of AI: Bringing humans and machines closer together in the workplace. Frontiers in Artificial Intelligence, 6, 1272823. https://doi.org/10.3389/frai.2023.1272823

2.Ammirato, S., Felicetti, A. M., & Raso, C. (2023). Artificial intelligence in HRM: Applications and implications for organizational performance. Technological Forecasting and Social Change, 188, 122287. https://doi.org/10.1016/j.techfore.2022.122287

3.Brynjolfsson, E., & McAfee, A. (2018). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.

4.Budhwar, P., Malik, A., De Silva, M. T., & Thevisuthan, P. (2022). 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/10.1080/09585192.2021.1879207

5.Cai, Y., Jo, H., & Pan, S. (2024). Algorithmic management and employee perceptions: Evidence from AI-based HR systems. Journal of Management Studies, 61(2), 345–372. https://doi.org/10.1111/joms.12845

6.Jain, R., & Bansal, S. (2025). AI and employee engagement: A study of digital HR practices. International Journal of HR Studies, 14(2), 45–60.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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