Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210en_US
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874en_US
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017en_US
dc.contributor.authorSu, Dan
dc.contributor.authorZhang, Lijun
dc.contributor.authorPeng, Hua
dc.contributor.authorSaeidi, Parvaneh
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2023-02-03T08:04:26Z
dc.date.available2023-02-03T08:04:26Z
dc.date.issued2023en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractSince 2008, many academics have increasingly paid attention to blockchain technology from different perspectives. In general, researchers desire to achieve global blockchain systems within a sustainable manufacturing domain; however, a number of technical challenges have come to exist in the recent decade, for instance, consensus algorithms and computing paradigms that can meet the privacy protection requirements of manufacturing systems. Therefore, an integrated decision-making framework called Pythagorean fuzzy-entropy-rank sum-Combined Compromise Solution (PF-entropy-RS-CoCoSo) is developed in this study, including two main phases. In the first phase, the PF-entropy-RS method is applied to obtain the subjective and objective weights of criteria to evaluate the technical challenges of transforming blockchain technology for a sustainable manufacturing paradigm in the Industry 4.0 era. The PF-CoCoSo model is then utilized in the second phase to assess the preferences of organizations over different technical challenges of the blockchain technology transformation for the sustainable manufacturing paradigm in the Industry 4.0 era. An empirical case study is taken to assess the main technical challenges of blockchain technology transformation for the sustainable manufacturing paradigm. Furthermore, a comparison analysis and a sensitivity investigation are made to demonstrate the superiority of the developed framework. © 2023 Elsevier Inc.en_US
dc.identifier.citationSu, D., Zhang, L., Peng, H., Saeidi, P., & Tirkolaee, E. B. (2023). Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system. Technological Forecasting and Social Change, 188, 122275.en_US
dc.identifier.doi10.1016/j.techfore.2022.122275en_US
dc.identifier.issn0040-1625en_US
dc.identifier.scopus2-s2.0-85145969390en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttp://doi.org/10.1016/j.techfore.2022.122275
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3872
dc.identifier.volume188en_US
dc.identifier.wosWOS:000926361600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofTechnological Forecasting and Social Changeen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlockchain Technologyen_US
dc.subjectFuzzy Decision Support Systemen_US
dc.subjectIndustry 4.0en_US
dc.subjectSustainable Manufacturing Paradigmen_US
dc.subjectTechnical Challengesen_US
dc.titleTechnical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support systemen_US
dc.typeArticleen_US

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