Sustainable human resource management: A transformation perspective of human resource management functions through optimised artificial intelligence


  • Arif Furqon Nugraha Adz Zikri Universitas Padjadjaran
  • Widianto Sunu Universitas Padjadjaran
  • Komaladewi Rita Universitas Padjadjaran



artificial intelligence, balance of HRM and AI, HRM, sustainability, sustainable HRM practices


In recent years, Human Resource Management (HRM) has become an increasing focus of research, especially with respect to its linkage to sustainability and the integration of Artificial Intelligence (AI) in HR practice. This paper explores the transformation potential of AI in HRM, revealing the factors that contribute to successful AI adoption and strategies to overcome adoption barriers within organisations. In addition, the paper addresses important issues related to data bias in sustainable HRM practices when using AI, emphasising the need to eliminate bias to ensure fairness and equity. To fill the existing research gap, this paper provides a comprehensive overview of the evolving role of HRM through AI implementation. The paper also provides practical insights into how organisations can effectively limit the role of HRM and AI to prevent undue evictions of HR professionals. In addition, the study emphasises the importance of addressing data quality issues and bias in AI applications within HRM, with a particular focus on ensuring equal treatment and opportunities for minority groups. As an illustrative example, this paper details a practical approach to AI-powered new employee payroll. This approach aims to eliminate bias, ensure competitive salaries, and be in line with market standards. While embracing AI for HRM, the paper emphasises the importance of maintaining the human touch in decision-making and maintaining sensitivity, empathy, and understanding, especially in complex HR scenarios.


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How to Cite

Adz Zikri, A. F. N., Sunu, W., & Rita, K. (2024). Sustainable human resource management: A transformation perspective of human resource management functions through optimised artificial intelligence. BISMA (Bisnis Dan Manajemen), 16(2), 167–192.



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