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Reviewing the applications of artificial intelligence in sustainable supply chains: exploring research propositions for future directions

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Naz, Farheen, Agrawal, Rohit, Kumar, Anil, Gunasekaran, Angappa, Majumdar, Abhijit and Luthra, Sunil (2022) Reviewing the applications of artificial intelligence in sustainable supply chains: exploring research propositions for future directions. Business Strategy and the Environment, 31 (5). pp. 2400-2423. ISSN 0964-4733

Abstract

The sustainable supply chain (SSC) has received significant attention worldwide in the last few years because it integrates sustainability dimensions into its process. Recent artificial intelligence (AI) based advancements in technology make it possible to overcome many problems associated with supply chain (SC) networks. The current study was performed to explore the role of AI in establishing a SSC. The research contribution in the field of AI and SSC was examined through a systematic literature review. A total of 353 articles were gathered from the SCOPUS database in the selected research field. A big data based approach, namely Structural Topic Modelling (STM), was applied to generate emerging thematic topics from shortlisted articles of AI in SSC. Moreover, using R-package, a bibliometric analysis was conducted to examine the research trends in the field of AI in SSC. The research trends were then analyzed, with generated thematic topics discussed. The proposed research framework can help researchers and practitioners to develop an SSC model using AI-based techniques. Propositions for future research are given and implications are suggested.

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Title:
Reviewing the applications of artificial intelligence in sustainable supply chains: exploring research propositions for future directions
Creators:
Naz, Farheen, Agrawal, Rohit, Kumar, Anil, Gunasekaran, Angappa, Majumdar, Abhijit and Luthra, Sunil
Identification Number:
10.1002/bse.3034
Official URL:
https://doi.org/10.1002/bse.3034
Date:
July 2022
Subjects:
600 Technology > 650 Management & auxiliary services
Department:
Guildhall School of Business and Law
Publisher:
Wiley
Uncontrolled Keywords:
artificial intelligence; big data analytics; business strategy; carbon emissions; environment; sustainable supply chain; sustainability; sustainable development
Additional Information:
This is the peer reviewed accepted version of the article, which has been published in final form at https://doi.org/10.1002/bse.3034. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Record
URI:
https://repository.londonmet.ac.uk/id/eprint/7209
Item Type:
Article
Depositing User:
Anil Kumar
Date Deposited:
21 Feb 2022 09:36
Revision:
14
Last Modified:
21 Mar 2024 01:58
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