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Harnessing Artificial Intelligence and Human Resource Management for Circular Economy and sustainability: a conceptual integration

  • Rubee Singh
  • , Amit Joshi
  • , Hiranya Dissanayake
  • , Deshika Nainanayake
  • , Vikas Kumar*
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

In response to global sustainability challenges and digital transformation, this concep-tual paper explores the intersection of Artificial Intelligence (AI), Human Resource Management (HRM), and Circular Economy (CE). Drawing on Resource-Based View, Stakeholder Theory, Institutional Theory, and the Socio-Technical Systems perspective, we propose an integrated framework in which AI and HRM function as complementary enablers of sustainable, circular transformation. The framework identifies enablers (e.g., green HRM, digital infrastructure), barriers (e.g., ethical concerns, skill gaps), and con-textual mediators. This study contributes to sustainability and digital innovation liter-ature and suggests practical pathways for ethically aligning workforce and AI capabili-ties in CE adoption.
Original languageEnglish
Article number7054
Number of pages19
JournalSustainability (Switzerland)
Volume17
Issue number15
DOIs
Publication statusPublished - 4 Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Artificial intelligence (AI)
  • Circular Economy (CE)
  • Sustainability
  • Green Human Resource Management
  • Digital transformation

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