V. Wankhede, R. Agrawal, Anil Kumar K, S. Luthra, D. Pamučar, Željko Stević
{"title":"人工智能是不确定环境下可持续工程决策的推动者:综述和未来主张","authors":"V. Wankhede, R. Agrawal, Anil Kumar K, S. Luthra, D. Pamučar, Željko Stević","doi":"10.1108/jgoss-06-2022-0057","DOIUrl":null,"url":null,"abstract":"\nPurpose\nSustainable 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. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI.\n\n\nDesign/methodology/approach\nThis 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.\n\n\nFindings\nBibliometric 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 by using structural topic modelling (STM) and were discussed further.\n\n\nResearch limitations/implications\nResearch propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed.\n\n\nOriginality/value\nThis work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.\n","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence an enabler for sustainable engineering decision-making in uncertain environment: a review and future propositions\",\"authors\":\"V. Wankhede, R. Agrawal, Anil Kumar K, S. Luthra, D. Pamučar, Željko Stević\",\"doi\":\"10.1108/jgoss-06-2022-0057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nSustainable 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. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI.\\n\\n\\nDesign/methodology/approach\\nThis 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.\\n\\n\\nFindings\\nBibliometric 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 by using structural topic modelling (STM) and were discussed further.\\n\\n\\nResearch limitations/implications\\nResearch propositions corresponding to each research theme were presented for future research directions. 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Artificial intelligence an enabler for sustainable engineering decision-making in uncertain environment: a review and future propositions
Purpose
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. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI.
Design/methodology/approach
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.
Findings
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 by using structural topic modelling (STM) and were discussed further.
Research limitations/implications
Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed.
Originality/value
This work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.
期刊介绍:
The Journal of Global Operations and Strategic Sourcing aims to foster and lead the international debate on global operations and strategic sourcing. It provides a central, authoritative and independent forum for the critical evaluation and dissemination of research and development, applications, processes and current practices relating to sourcing strategically for products, services, competences and resources on a global scale and to designing, implementing and managing the resulting global operations. Journal of Global Operations and Strategic Sourcing places a strong emphasis on applied research with relevant implications for both knowledge and practice. Also, the journal aims to facilitate the exchange of ideas and opinions on research projects and issues. As such, on top of a standard section publishing scientific articles, there will be two additional sections: "The Industry ViewPoint": in this section, industrial practitioners from around the world will be invited (max 2 contributions per issue) to present their point of view on a relevant subject area. This is intended to give the journal not just an academic focus, but a practical focus as well. In this way, we intend to reflect a trend that has characterised the past few decades, where interests and initiatives in research, academia and industry have been more and more converging to the point of collaborative relationships being a common practice. "Research Updates - Executive Summaries". In this section, researchers around the world will be given the opportunity to present their research projects in the area of global sourcing and outsourcing by means of an executive summary of their project. This will increase awareness of the on-going research projects in the area and it will attract interest from industry.