{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T23:19:29Z","timestamp":1786058369723,"version":"3.56.0"},"reference-count":106,"publisher":"Emerald","issue":"4\/5","license":[{"start":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T00:00:00Z","timestamp":1633564800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JEIM"],"published-print":{"date-parts":[[2022,6,20]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The \u201cInternet of Things (IoT)\u201d is a platform for involving smart devices via the Internet at a worldwide scale. It supports the \u201csupply chain (SC)\u201d and \u201cinformation and communication technology (ICT)\u201d infrastructure to be well integrated into an organization and externally with customers and suppliers. The \u201csustainable supply chain (SSC)\u201d is currently unavoidable if a company seeks to satisfy the aggressive change in its customers' requirements. Numerous studies have confirmed that manufacturing firms have to accelerate the shift of their focus toward sustainability and the implementation of novel technologies, such as IoT, to accomplish their organizational goals most effectively. Although the literature consists of many theoretical approaches to IoT and numerous studies that have extremely concentrated upon the IoT technology and its potential applications, it lacks research with a focus on the challenges that arise when applying IoT to the \u201csustainable supply chain management (SSCM)\u201d.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The present study proposes an integrated framework using the \u201cCriteria Importance Through Intercriteria Correlation (CRITIC)\u201d and \u201cVlseKriterijumska optimizcija I kaompromisno resenje in Serbian (VIKOR)\u201d models and employs to evaluate the IoT challenges to implement the SSCM. For estimating the criteria weights, the CRITIC tool is utilized. The organization's prioritization is obtained by the VIKOR procedure, which delivers simple mathematical procedures with precise and consistent outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>To exhibit the practicality of the introduced model, a case study is taken to evaluate the IoT challenges to implement the SSCM within the \u201cq-Rung Orthopair Fuzzy Sets (q-ROFSs)\u201d environment. Moreover, the authors exhibit a sensitivity investigation over given parameter values, examining the stability of developed approach. Finally, the authors draw attention to a comparison between developed q-ROF-CRITIC-VIKOR decision-making approach with an existing q-ROF-TOPSIS method to show its superiority and potency.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The outcome of the study lies in observing the top benefits of individual businesses, and their entire SSCs can be found by implementing IoT. This paper investigates the most important challenges that individual firms and entire SSCs might while applying IoT. It provides a deep insight regarding the effects of IoT upon SSCM and the issues every firm need to contemplate when it is to apply IoT solutions.<\/jats:p><\/jats:sec>","DOI":"10.1108\/jeim-06-2021-0261","type":"journal-article","created":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T16:32:24Z","timestamp":1633710744000},"page":"1011-1039","source":"Crossref","is-referenced-by-count":57,"title":["Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method"],"prefix":"10.1108","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9525-5190","authenticated-orcid":false,"given":"Kaijun","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9155-3799","authenticated-orcid":false,"given":"Tingting","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaojiao","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9949-5813","authenticated-orcid":false,"given":"Arunodaya Raj","family":"Mishra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2021,10,7]]},"reference":[{"key":"key2022061704462330300_ref001","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1016\/j.future.2018.04.051","article-title":"Internet of Things (IoT) and its impact on supply chain: a framework for building smart, secure and efficient systems","volume":"86","year":"2018","journal-title":"Future Generation Computer Systems"},{"key":"key2022061704462330300_ref002","volume-title":"Guest Editorial: Special Section on Advanced Deep Learning Algorithms for Industrial Internet of Things","year":"2021"},{"issue":"2","key":"key2022061704462330300_ref003","first-page":"141","article-title":"The emerging big data analytics and IoT in supply chain management: a systematic review","volume":"25","year":"2020","journal-title":"Supply Chain Management: An International Journal"},{"issue":"1","key":"key2022061704462330300_ref004","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","article-title":"Intuitionistic fuzzy sets","volume":"20","year":"1986","journal-title":"Fuzzy Sets and Systems"},{"key":"key2022061704462330300_ref005","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-021-00413-x","article-title":"Selection of third party reverses logistic providers: an approach of BCF-CRITIC-MULTIMOORA using Archimedean power aggregation Operators","year":"2021","journal-title":"Complex and Intelligent Systems"},{"issue":"15-16","key":"key2022061704462330300_ref006","doi-asserted-by":"crossref","first-page":"4719","DOI":"10.1080\/00207543.2017.1402140","article-title":"Internet of things and supply chain management: a literature review","volume":"57","year":"2019","journal-title":"International Journal of Production Research"},{"key":"key2022061704462330300_ref007","doi-asserted-by":"crossref","unstructured":"Bourlakis, M. and Matopoulos, A. 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