Harnessing Artificial Intelligence and Human Resource Management for Circular Economy and Sustainability: A Conceptual Integration

In response to global sustainability challenges and digital transformation, this conceptual 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 contextual mediators. This study contributes to sustainability and digital innovation literature and suggests practical pathways for ethically aligning workforce and AI capabilities in CE adoption.

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Publication Details

Journal
Sustainability
Published
2025-08-04
DOI
https://doi.org/10.3390/su17157054
Citations
7
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
15.58
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article

Harnessing Artificial Intelligence and Human Resource Management for Circular Economy and Sustainability: A Conceptual Integration

Rubee Singh, Hiranya Dissanayake, Prof Vikas Kumar, Amit Joshi et al.
7 citations
Sustainability
Sustainable Supply Chain Management
15.58
article

Harnessing Artificial Intelligence and Human Resource Management for Circular Economy and Sustainability: A Conceptual Integration

Rubee Singh, Hiranya Dissanayake, Prof Vikas Kumar, Amit Joshi, Deshika Nainanayake
article en
7 citations

Abstract

In response to global sustainability challenges and digital transformation, this conceptual 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 contextual mediators. This study contributes to sustainability and digital innovation literature and suggests practical pathways for ethically aligning workforce and AI capabilities in CE adoption.

SustainabilityVol. 17(15)
Kumaun University (IN), Wayamba University of Sri Lanka (LK), University of Portsmouth (GB), Western Sydney University (AU), GLA University (IN)
Openalex Percentile: Top 1%
Sustainable Supply Chain Management
15.58
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Harnessing Artificial Intelligence and Human Resource Management for Circular Economy and Sustainability: A Conceptual Integration — Rubee Singh, Hiranya Dissanayake, et al. · Sustainability (2025) | TGRS Research Map | TGRS