Strategies for Implementing Artificial Intelligence in Human Resource Management
Abstract
This study aims to identify and analyze strategies for implementing Artificial Intelligence (AI) in Human Resource Management (HRM) through a comprehensive literature review. The research explores AI applications in key HR functions such as recruitment, onboarding, performance management, and employee development. It also evaluates the challenges faced during AI adoption, including ethical concerns, algorithmic bias, and organizational resistance. Additionally, the study highlights critical success factors like leadership support, digital competency development, and organizational culture adaptation. The findings provide valuable insights for organizations seeking to integrate AI ethically and effectively to enhance HR processes and overall organizational performance.
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References
Ashurbaev, A., & Saidkulov, A. (2024). Artificial Intelligence in Human Resource Management: Opportunities and Challenges. Journal of Management Studies, 12(3), 45-58.
Ashurbaev, M., & Saidkulov, D. (2024). AI-driven performance management systems and employee response. Journal of Applied HR Analytics, 9(2), 77–92.
Astawa, I. B. P., & Mahayasa, I. G. N. (2024). Artificial intelligence in HRM: Opportunities and challenges in Indonesian organizations. International Journal of Business and Technology, 12(1), 45–59.
Astawa, I. P. P., & Mahayasa, I. G. A. (2024). Integrating Artificial Intelligence in Human Resource Management: A Systematic Literature Review. Management and Applied Social Studies Review, 2(1), 54-61. https://doi.org/10.32795/massiv.v2i1.5798
Bano, M., Mir, R., & Tariq, H. (2024). Inclusive AI design for effective HR transformation. Journal of Organizational Change Management, 37(2), 115–134. https://doi.org/10.1108/JOCM-11-2023-0392
Bano, M., Zowghi, D., Mourao, F., Kaur, S., & Zhang, T. (2024). Diversity and Inclusion in AI for Recruitment: Lessons from Industry Workshop. arXiv preprint arXiv:2411.06066. https://arxiv.org/abs/2411.06066
Chaturvedi, A., & Chaturvedi, S. (2025). Gender bias in AI-powered recruitment systems: Evidence and ethical implications. AI & Society, 40(1), 98–112. https://doi.org/10.1007/s00146-024-01697-8
Chaturvedi, S., & Chaturvedi, R. (2025). Who Gets the Callback? Generative AI and Gender Bias. arXiv preprint arXiv:2504.21400. https://arxiv.org/abs/2504.21400
Khan, M. I., Parahyanti, E., & Hussain, S. (2024). The role of generative AI in human resource management: Enhancing operational efficiency, decision-making, and addressing ethical challenges. Asian Journal of Logistics Management, 3(2), 104–125. https://doi.org/10.14710/ajlm.2024.24671
Leibbrandt, A. (2024). How AI can foster inclusive hiring: Evidence from gendered applications. Monash University Working Paper Series. https://www.monash.edu/business
Mujtaba, B. G., & Mahapatra, S. (2024). Ethical frameworks for AI implementation in human resource practices. Ethics and Information Technology, 26(1), 33–50. https://doi.org/10.1007/s10676-023-09656-9
Mujtaba, D. F., & Mahapatra, N. R. (2024). Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions. arXiv preprint arXiv:2405.19699. https://arxiv.org/abs/2405.19699
Prasetya, H., & Wulandari, S. (2023). Integrating artificial intelligence in human resource management: A literature review. Jurnal Ilmiah MASSIV, 7(1), 45–60. https://ejournal.unhi.ac.id/index.php/massiv/article/view/5798
Purwaamijaya, B. M., & Prasetyo, Y. (2023). The effect of artificial intelligence (AI) on human capital management in Indonesia. Jurnal Manajemen dan Kewirausahaan, 10(2), 85–97. https://doi.org/10.26905/jmdk.v10i2.9130
Putri, D. A., & Santoso, R. (2024). The implementation of artificial intelligence in human resources: Opportunities and challenges. Journal of International Conference Proceedings, 7(1), 112–125. https://ejournal.aibpmjournals.com/index.php/JICP/article/view/2993
Rahman, S., & Khalid, N. (2023). Overcoming technological resistance in AI implementation: A change management perspective. International Journal of Information Systems and Change Management, 18(1), 22–39.
Sheard, A. (2025). Algorithmic hiring and discrimination: A critical review of AI in recruitment. Human Resource Management Review, 35(1), 100851. https://doi.org/10.1016/j.hrmr.2023.100851
Sheard, N. (2025). People interviewed by AI for jobs face discrimination risks, Australian study warns. The Guardian. https://www.theguardian.com/australia-news/2025/may/14/people-interviewed-by-ai-for-jobs-face-discrimination-risks-australian-study-warns
Singh, A., & Verma, S. (2025). Building digital capability among HR professionals: Strategies and impact. Journal of Digital Transformation and HR Practices, 6(1), 13–29
Zhou, Y., & Zhang, J. (2023). The role of digital infrastructure in supporting HR innovation. Journal of Human Resource and Sustainability, 14(3), 205–220. https://doi.org/10.1108/JHRS-12-2022-0078
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