AI contribution for developing green visibility and integration toward sustainability performance in supply chain

Purpose This research focuses on the role of artificial intelligence (AI) capabilities on green supply chain visibility (GSCV) and green supply chain integration (GSCI), as well as how these capabilities influence the relationship between AI and sustainable supply chain performance (SSCP) in the manufacturing sector. Design/methodology/approach A total of 361 participants from manufacturing companies were analyzed using the technique of partial least squares structural equation modeling. Findings The results of the research indicated that the capabilities in AI affect GSCV and GSCI. GSCV and GSCI have a significant influence on SSCP. In addition, GSCV and GSCI play a partial role in the mediation of AI capabilities and SSCP. Originality/value This study presented an innovative, holistic framework that incorporates the role of AI in sustaining the performance of a supply chain. It expands and enriches the theory on the value of natural resources (NRBV), the theory of dynamic capabilities (DCT) and the theory of information processing (IPT) on sustainable transitions. The study also presents practical evidence from a country with a developing economy. It assists entrepreneurs and policymakers in boosting the efficacy of digital and green supply chains.

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Publication Details

Journal
Journal of Enterprise Information Management
Published
2025-12-24
DOI
https://doi.org/10.1108/jeim-07-2025-0674
Citations
1
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
2.23
Controls
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article

AI contribution for developing green visibility and integration toward sustainability performance in supply chain

Muhammad Khalilur Rahman, Mohammad Shamsuddoha
1 citations
Journal of Enterprise Information Management
Sustainable Supply Chain Management
2.23
article

AI contribution for developing green visibility and integration toward sustainability performance in supply chain

Muhammad Khalilur Rahman, Mohammad Shamsuddoha
article en
1 citations

Abstract

Purpose This research focuses on the role of artificial intelligence (AI) capabilities on green supply chain visibility (GSCV) and green supply chain integration (GSCI), as well as how these capabilities influence the relationship between AI and sustainable supply chain performance (SSCP) in the manufacturing sector. Design/methodology/approach A total of 361 participants from manufacturing companies were analyzed using the technique of partial least squares structural equation modeling. Findings The results of the research indicated that the capabilities in AI affect GSCV and GSCI. GSCV and GSCI have a significant influence on SSCP. In addition, GSCV and GSCI play a partial role in the mediation of AI capabilities and SSCP. Originality/value This study presented an innovative, holistic framework that incorporates the role of AI in sustaining the performance of a supply chain. It expands and enriches the theory on the value of natural resources (NRBV), the theory of dynamic capabilities (DCT) and the theory of information processing (IPT) on sustainable transitions. The study also presents practical evidence from a country with a developing economy. It assists entrepreneurs and policymakers in boosting the efficacy of digital and green supply chains.

Journal of Enterprise Information Management
Western Illinois University (US), Daffodil International University (BD), Universiti Malaysia Kelantan (MY)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Sustainable Supply Chain Management
2.23
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