Paper Details

Name: Dhanush S, Madhumitha Rajagopal, Venkataraman B, Shreya Sivakumar, Priyanka S, Nisha R
Country: India

Year: 2023
Volume: Volume-10, Issue-1(January-June)
Page Number: 32-47

The rise of artificial intelligence provides organizations with opportunities to incorporate sustainable human resource management practices into operations in order to achieve sustainability objectives. This paper provides a comprehensive analysis of AI-based solutions for sustainable human resource management that strike a balance between the organization's requirements, the needs of individuals and the environment, and accountability and legitimacy. To stay competitive in the current business world, the paper suggests doing a lot of research on the ethical and social implications of AI in HR practices, its effect on employee satisfaction and well-being, and the importance of institutions in regulating it. Human resource management practices that incorporate AI have the potential to improve in a number of ways, including productivity, cost-effectiveness, competitiveness, and support for sustainability initiatives. The paper suggests additional research into the intricate relationships between humans, AI, and environmental requirements in order to gain a comprehensive understanding of how AI can be effectively integrated into HRM practices to improve employee well-being. This study can contribute to the existing literature on AI and HRM by investigating how AI can support long-term HRM initiatives. This paper emphasizes the opportunities presented by AI for organizations to implement sustainable HRM practices. This research adds to the body of knowledge on artificial intelligence and human resource management by providing valuable insights for organizations contemplating the adoption of AI for sustainable HRM practices, thereby supporting their sustainability objectives in today's rapidly changing business environment. KEYWORDS: Artificial Intelligence (AI), Sustainable HRM Practices, Recruitment, Decision-Making, Performance Evaluation, Employee Turnover Rates, HRM Strategies, And Automation.