Enhancing environmental, social, and governance performance through artificial intelligence supply chains in the energy industry: Roles of innovation, collaboration, and proactive sustainability strategy

Shaofeng Wang and Hao Zhang

Renewable Energy, 2025, vol. 245, issue C

Abstract: With the global energy sector under mounting pressure to bolster sustainability, the function of artificial intelligence (AI) in augmenting Environmental, Social, and Governance (ESG) performance is receiving considerable attention. This study investigates the influence of Artificial Intelligence Adaptive Supply Chains (AIASC) on ESG performance within the energy industry, exploring the mediating roles of innovation and collaboration capabilities, alongside the moderating effect of proactive sustainability strategies. Drawing on Resource-Based View and System Dynamics Theory, we analyze data from 314 energy companies using partial least squares structural equation modeling (PLS-SEM). Our findings reveal that AIASC positively influences both innovation capability and collaboration capability, which in turn enhances ESG performance. Moreover, the proactive sustainability strategy strengthens the positive effects of AIASC on these capabilities. This research contributes to the growing body of literature on AI applications in sustainable energy management by elucidating the mechanisms through which AIASC can drive ESG improvements. Our study contributes to the understanding of AI applications in renewable energy supply chains and provides insights for practitioners on leveraging AIASC to improve sustainability performance in the renewable energy sector.

Keywords: Artificial intelligence supply chain; Innovation capability; Collaboration capability; ESG performance; Proactive sustainability strategy; Renewable energy (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148125005178
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:245:y:2025:i:c:s0960148125005178

DOI: 10.1016/j.renene.2025.122855

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().