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

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. 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\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Global Operations and Strategic Sourcing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jgoss-06-2022-0057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Operations and Strategic Sourcing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jgoss-06-2022-0057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

摘要

目的可持续发展目标在当前环境中越来越重要。许多企业都热衷于采用可持续发展目标来获得竞争优势。调整目前可持续发展的工作方案存在某些挑战,可持续发展是社会的首要关切。许多公司正在采用可持续工程(SE)实践来解决这些问题。人工智能是一种新兴技术,可以帮助在不确定的环境中无效地采用可持续做法。在这方面,有必要回顾人工智能中SE领域的当前研究实践。本研究的目的是全面回顾人工智能SE领域的研究趋势。设计/方法/方法这项工作回顾了人工智能在不确定环境中用于SE决策的应用。SCOPUS数据库被考虑用于入围这些文章。给出了关于AI、SE和决策的具体关键词,共有127篇文章在暗示纳入和排除标准后入围。发现文献计量研究和网络分析旨在分析当前的研究趋势,并了解研究人员和国家之间的研究合作。通过使用结构主题建模(STM)确定了新出现的研究主题,并对其进行了进一步讨论。研究局限性/含义为未来的研究方向提出了与每个研究主题相对应的研究命题。最后,讨论了本研究的意义。原创性/价值这项工作借助文献计量学研究、网络分析和STM,对人工智能在SE中的应用领域的文章进行了系统综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.40
自引率
0.00%
发文量
31
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.
期刊最新文献
Observation of post-yield supply chain impediments for spoilage mitigation and revenue generation opportunities at countryside Digital procurement towards new performance frontiers: a systematic literature review and future research fronts A conceptual framework for a new service model: digital servitization with an Industrial 4.0 perspective A multinomial modeling approach to assess supplier delivery performance for buyer-supplier alignment Artificial intelligence-based supply chain resilience for improving firm performance in emerging markets
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1