Evaluation of the effects of blockchain technology characteristics on SCOR model supply chain performance measurement attributes using an integrated fuzzy MCDM methodology
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This 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.
Açıklama
Anahtar Kelimeler
Blockchain technology, SCOR model, supply chain performance measurement attributes, Multi-Criteria Decision Making (MCDM), interval type-2 fuzzy AHP, interval type-2 fuzzy TOPSIS, Analytic Hierarchy Process, Management, Systems, Impact, Framework, Selection, Adoption, Topsis, Roles, Plant
Kaynak
International Journal of Logistics-Research And Applications
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
27
Sayı
6
