Evaluation of the effects of blockchain technology characteristics on SCOR model supply chain performance measurement attributes using an integrated fuzzy MCDM methodology

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dc.authoridKIRBAC, Gokhan/0000-0002-0848-4535en_US
dc.authoridCIKMAK, Sinan/0000-0002-4704-3409en_US
dc.authorscopusid57658051700en_US
dc.authorscopusid58528594000en_US
dc.authorscopusid59002257800en_US
dc.authorwosidÇıkmak, Sinan/IWM-1370-2023en_US
dc.authorwosidKANTOĞLU, BARIŞ/JJC-1378-2023en_US
dc.contributor.authorCikmak, Sinan
dc.contributor.authorKantoglu, Baris
dc.contributor.authorKirbac, Gokhan
dc.date.accessioned2024-08-23T16:04:28Z
dc.date.available2024-08-23T16:04:28Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractThis research aims to investigate and identify the effects of blockchain technology (BT) characteristics on SCOR supply chain (SC) performance measurement attributes. To achieve this, initially, the importance weights of blockchain characteristics (BC) in the context of the SC are determined by using the Interval Type-2 Fuzzy AHP. Furthermore, in order to rank Supply Chain Operation Reference (SCOR) model SC performance measurement attributes, the Interval Type-2 Fuzzy TOPSIS method is used. As for the conclusion, this research signifies that decentralised, security, and immutability are among the top three in terms of importance weights for SC while the consensus is ranked last and as for BC, SCOR model SC performance measurement attributes are ranked as reliability, asset management efficiency, responsiveness, cost, and agility. This study and its outcomes may serve organisations that are striving to boost their SC performance by applying BT.en_US
dc.identifier.doi10.1080/13675567.2023.2193736
dc.identifier.endpage1045en_US
dc.identifier.issn1367-5567
dc.identifier.issn1469-848X
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85191300348en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1015en_US
dc.identifier.urihttps://doi.org/10.1080/13675567.2023.2193736
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14207
dc.identifier.volume27en_US
dc.identifier.wosWOS:000956087300001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofInternational Journal of Logistics-Research And Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlockchain technologyen_US
dc.subjectSCOR modelen_US
dc.subjectsupply chain performance measurement attributesen_US
dc.subjectMulti-Criteria Decision Making (MCDM)en_US
dc.subjectinterval type-2 fuzzy AHPen_US
dc.subjectinterval type-2 fuzzy TOPSISen_US
dc.subjectAnalytic Hierarchy Processen_US
dc.subjectManagementen_US
dc.subjectSystemsen_US
dc.subjectImpacten_US
dc.subjectFrameworken_US
dc.subjectSelectionen_US
dc.subjectAdoptionen_US
dc.subjectTopsisen_US
dc.subjectRolesen_US
dc.subjectPlanten_US
dc.titleEvaluation of the effects of blockchain technology characteristics on SCOR model supply chain performance measurement attributes using an integrated fuzzy MCDM methodologyen_US
dc.typeArticleen_US

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