Intelligent Human Resource Management: A Pathway Toward Environmental Performance

Muhammad Hamza Qummar, Khalid Farooq, Zikri Muhammad and Mohd Yusoff Yusliza ()
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Muhammad Hamza Qummar: Universiti Malaysia Terengganu
Khalid Farooq: Universiti Malaysia Terengganu
Zikri Muhammad: Universiti Malaysia Terengganu
Mohd Yusoff Yusliza: Universiti Malaysia Terengganu

A chapter in New Challenges of the Global Economy for Business Management, 2025, pp 579-593 from Springer

Abstract: Abstract This paper aims to focus on the integration of artificial intelligence (AI) into green human resource management (HRM) to enhance their environmental performance. It further discusses the potential of AI in green HRM, focusing on its applications in functions like recruitment, training, performance appraisal, and employee engagement. Novelty of this paper lies in the integration of AI in transforming the green HRM functions, which has been unexplored in existing literature. This paper synthesizes existing literature using Resource-Based View (RBV) framework to propose a conceptual model to provide a comprehensive examination of the relationship between AI and green HRM within modern organizations. The findings emphasize that AI integration into HRM functions, can support the broader organizational objectives of environmental performance by minimizing resource consumption, carbon emissions, and less reliance on physical infrastructure. The propositions presented lay the groundwork for future research on AI-driven green HRM across different organizations. Lastly, this study makes a theoretical contribution to the growing body of green HRM and AI literature by presenting a comprehensive framework that integrates AI into the broader environmental discourse. It also offers practical implications for managers, demonstrating how AI can be leveraged to transform HR functions and reduce environmental impact. Additionally, the study suggests avenues for future research to empirically validate the proposed model across diverse organizational contexts.

Keywords: HRM; Green HRM; Environmental performance; Artificial intelligence; Resource-Based View (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-96-4116-1_36

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DOI: 10.1007/978-981-96-4116-1_36

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