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

Cikmak S., Kantoglu B., KIRBAÇ G.

INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2023 (SSCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1080/13675567.2023.2193736
  • Dergi Adı: INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, IBZ Online, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, INSPEC, Metadex, Civil Engineering Abstracts
  • İstanbul Kültür Üniversitesi Adresli: Evet

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.