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<p>This research examines how AI and GHRM work collaboratively to improve environmental sustainability. A Systematic Literature Review (SLR) was employed that followed the PRISMA (2020) guidelines. In total, 53 peer-reviewed studies published between January 2000 and May 2025 were analysed. The research finds that AI-enabled green HR practices, such as data-driven recruitment practices, iterative green training, and eco-performance appraisal, contribute to improvements in sustainability performance. The combination of AI and GHRM is associated with the development of VRIN-like (valuable, rare, inimitable, non-substitutable) capabilities that contribute to the Resource-Based View (RBV) and Natural-Resource-Based View (NRBV). Contributions to the field include (1) mapping AI tools against core GHRM functions, demonstrating their enhancement to environmental performance, (2) highlighting the synergistic capability of AI with GHRM, extending RBV/NRBV, contributing to the development of a distinct sustainable capability, and (3) a conceptualization (framework) bringing together AI and GHRM and linking them to SDGs. Firms should implement AI-enabled HR technologies and practices to manage and reduce waste, engage green-oriented employees in their sustainability efforts, and support SDG targets through a capability that drives differentiation while considering risks, such as algorithmic bias and carbon costs.</p>

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Strengthening environmental sustainability through AI-enabled human resource management practices

  • 期刊论文

  • 发表日期：

    2026年5月22日

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  • Vidhi Kapruwan,
  • Vinay Kandpal,
  • Naresh Kumar Sharma,
  • Kashish Khan

摘要

This research examines how AI and GHRM work collaboratively to improve environmental sustainability. A Systematic Literature Review (SLR) was employed that followed the PRISMA (2020) guidelines. In total, 53 peer-reviewed studies published between January 2000 and May 2025 were analysed. The research finds that AI-enabled green HR practices, such as data-driven recruitment practices, iterative green training, and eco-performance appraisal, contribute to improvements in sustainability performance. The combination of AI and GHRM is associated with the development of VRIN-like (valuable, rare, inimitable, non-substitutable) capabilities that contribute to the Resource-Based View (RBV) and Natural-Resource-Based View (NRBV). Contributions to the field include (1) mapping AI tools against core GHRM functions, demonstrating their enhancement to environmental performance, (2) highlighting the synergistic capability of AI with GHRM, extending RBV/NRBV, contributing to the development of a distinct sustainable capability, and (3) a conceptualization (framework) bringing together AI and GHRM and linking them to SDGs. Firms should implement AI-enabled HR technologies and practices to manage and reduce waste, engage green-oriented employees in their sustainability efforts, and support SDG targets through a capability that drives differentiation while considering risks, such as algorithmic bias and carbon costs.