Raghunathan Krishankumar, Sundararajan Dhruva, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran
{"title":"可持续供应链采用物联网的分级障碍:基于双层次模糊的Cronbach-WISP模型","authors":"Raghunathan Krishankumar, Sundararajan Dhruva, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran","doi":"10.1007/s10479-025-06620-w","DOIUrl":null,"url":null,"abstract":"<div><p>This paper primarily focuses on grading barriers that hinder internet-of-things (IoTs) adoption, which eventually promotes sustainable supply chain execution. As countries globally plan to combat climate change, supply chain sustainability is substantial. Digital technology, such as IoT, supports sustainability within supply chains. Still, studies infer that the adoption could be more direct and involve barriers that must be graded for efficient implementation and planning. Previous barrier grading models (i) did not accept natural language-based ratings; (ii) subjective orientation of experts’ weights is not well explored; (iii) hybrid determination of attributes’ weights is lacking; and (iv) personalized grades for barriers are also unexplored. Motivated by these gaps, this article develops an integrated model by considering preferences in the natural language form via double hierarchy fuzzy data (DHFD). Later, the rank sum (RS) approach is presented for determining the weights of experts, and the RS-Cronbach factor is put forward for the hybrid weight calculation of attributes. An algorithm to grade barriers is proposed based on WISP formulation combined with the Copeland method. Finally, a case example from Coimbatore is presented to understand the framework’s usefulness, and sensitivity/comparison reveals the pros and cons of the framework.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"351 3","pages":"2233 - 2285"},"PeriodicalIF":4.5000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Grading barriers in IoT adoption for sustainable supply chains: a double hierarchy fuzzy-based Cronbach-WISP model\",\"authors\":\"Raghunathan Krishankumar, Sundararajan Dhruva, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran\",\"doi\":\"10.1007/s10479-025-06620-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper primarily focuses on grading barriers that hinder internet-of-things (IoTs) adoption, which eventually promotes sustainable supply chain execution. As countries globally plan to combat climate change, supply chain sustainability is substantial. Digital technology, such as IoT, supports sustainability within supply chains. Still, studies infer that the adoption could be more direct and involve barriers that must be graded for efficient implementation and planning. Previous barrier grading models (i) did not accept natural language-based ratings; (ii) subjective orientation of experts’ weights is not well explored; (iii) hybrid determination of attributes’ weights is lacking; and (iv) personalized grades for barriers are also unexplored. Motivated by these gaps, this article develops an integrated model by considering preferences in the natural language form via double hierarchy fuzzy data (DHFD). Later, the rank sum (RS) approach is presented for determining the weights of experts, and the RS-Cronbach factor is put forward for the hybrid weight calculation of attributes. An algorithm to grade barriers is proposed based on WISP formulation combined with the Copeland method. Finally, a case example from Coimbatore is presented to understand the framework’s usefulness, and sensitivity/comparison reveals the pros and cons of the framework.</p></div>\",\"PeriodicalId\":8215,\"journal\":{\"name\":\"Annals of Operations Research\",\"volume\":\"351 3\",\"pages\":\"2233 - 2285\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10479-025-06620-w\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://link.springer.com/article/10.1007/s10479-025-06620-w","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
Grading barriers in IoT adoption for sustainable supply chains: a double hierarchy fuzzy-based Cronbach-WISP model
This paper primarily focuses on grading barriers that hinder internet-of-things (IoTs) adoption, which eventually promotes sustainable supply chain execution. As countries globally plan to combat climate change, supply chain sustainability is substantial. Digital technology, such as IoT, supports sustainability within supply chains. Still, studies infer that the adoption could be more direct and involve barriers that must be graded for efficient implementation and planning. Previous barrier grading models (i) did not accept natural language-based ratings; (ii) subjective orientation of experts’ weights is not well explored; (iii) hybrid determination of attributes’ weights is lacking; and (iv) personalized grades for barriers are also unexplored. Motivated by these gaps, this article develops an integrated model by considering preferences in the natural language form via double hierarchy fuzzy data (DHFD). Later, the rank sum (RS) approach is presented for determining the weights of experts, and the RS-Cronbach factor is put forward for the hybrid weight calculation of attributes. An algorithm to grade barriers is proposed based on WISP formulation combined with the Copeland method. Finally, a case example from Coimbatore is presented to understand the framework’s usefulness, and sensitivity/comparison reveals the pros and cons of the framework.
期刊介绍:
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.