Artificial intelligence an enabler for sustainable engineering decision making in uncertain environment: a review and future propositions

Agrawal, Rohit, Wankhede, Vishal A., Kumar, Anil, Luthra, Sunil, Pamucar, Dragan and Stevic, Zeljko (2022) Artificial intelligence an enabler for sustainable engineering decision making in uncertain environment: a review and future propositions. Journal of Global Operations and Strategic Sourcing. ISSN 2398-5364 (In Press)

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Abstract / Description

Sustainable development goals (SDGs) are gaining significant importance in the current environment. Many businesses are keen to adopt SDGs to get a competitive edge. There are certain challenges in realigning the present working scenario for sustainable development, which is a primary concern for society. Various firms are adopting sustainable Engineering (SE) practices to tackle such issues. Artificial intelligence (AI) is an emerging technology that can help the ineffective adoption of sustainable practices in an uncertain environment. This work presents a review of AI applications in SE for decision-making in an uncertain environment. SCOPUS database was considered for shortlisting the articles. Specific keywords on AI, SE, and decision-making were given, and a total of 127 articles were shortlisted after implying inclusion and exclusion criteria. Bibliometric study and network analyses were performed to analyse the current research trends and to see the research collaboration between researchers and countries. Emerging research themes were identified using structural topic modeling and discussed further. Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed.

Item Type:	Article
Uncontrolled Keywords:	Artificial intelligence; Sustainable engineering; decision making; uncertain environment; Sustainable development goals
Subjects:	600 Technology > 650 Management & auxiliary services
Department:	Guildhall School of Business and Law
Depositing User:	Anil Kumar
Date Deposited:	01 Aug 2022 13:31
Last Modified:	04 Aug 2022 08:03
URI:	https://repository.londonmet.ac.uk/id/eprint/7840

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