Converting Artificial Intelligence Into Circular Economy Performance: The Roles of Circular Manufacturing Capabilities and Responsible Leadership

Whether investment in artificial intelligence (AI) translates into circular economy gains remains uncertain, particularly in developing economies. Drawing on dynamic capabilities theory, this study examines how organizational AI adoption relates to circular economy performance in large-scale manufacturing firms in Pakistan. Using two-wave survey data from 216 senior managers, we find that AI adoption is positively associated with circular economy performance, both directly and indirectly through circular manufacturing capabilities, indicating partial mediation. Because the mediator and the outcome were measured concurrently, this indirect association is not interpreted as a temporal sequence. Responsible leadership moderates the association between AI adoption and circular manufacturing capabilities, and the indirect association is stronger when responsible leadership is high. Although the effects are modest, the pattern suggests that digital technologies support circular transitions mainly when firms build supporting capabilities under ethically oriented leadership. Implications for capability-focused industrial and trade policy in developing economies are discussed.

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Publication Details

Journal
The Journal of Environment & Development
Published
2026-11-02
DOI
https://doi.org/10.1177/10704965261502993
Primary Topic
Sustainable Supply Chain Management
Type
article
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article

Converting Artificial Intelligence Into Circular Economy Performance: The Roles of Circular Manufacturing Capabilities and Responsible Leadership

Olga A. Kalugina, Munazza Saeed, Alberto Ferraris, Sudhir Rana
The Journal of Environment & Development
Sustainable Supply Chain Management
article

Converting Artificial Intelligence Into Circular Economy Performance: The Roles of Circular Manufacturing Capabilities and Responsible Leadership

Olga A. Kalugina, Munazza Saeed, Alberto Ferraris, Sudhir Rana
article en

Abstract

Whether investment in artificial intelligence (AI) translates into circular economy gains remains uncertain, particularly in developing economies. Drawing on dynamic capabilities theory, this study examines how organizational AI adoption relates to circular economy performance in large-scale manufacturing firms in Pakistan. Using two-wave survey data from 216 senior managers, we find that AI adoption is positively associated with circular economy performance, both directly and indirectly through circular manufacturing capabilities, indicating partial mediation. Because the mediator and the outcome were measured concurrently, this indirect association is not interpreted as a temporal sequence. Responsible leadership moderates the association between AI adoption and circular manufacturing capabilities, and the indirect association is stronger when responsible leadership is high. Although the effects are modest, the pattern suggests that digital technologies support circular transitions mainly when firms build supporting capabilities under ethically oriented leadership. Implications for capability-focused industrial and trade policy in developing economies are discussed.

The Journal of Environment & Development
University of Nicosia (CY), National University of Computer and Emerging Sciences (PK), Financial University (RU), Liwa University (AE), University of Turin (IT)
Openalex Percentile: Top 12%
Sustainable Supply Chain Management
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Converting Artificial Intelligence Into Circular Economy Performance: The Roles of Circular Manufacturing Capabilities and Responsible Leadership — Olga A. Kalugina, Munazza Saeed, et al. · The Journal of Environment & Development (2026) | TGRS Research Map | TGRS