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

ABSTRACT

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.

KEYWORDS:

• Blockchain technology
• SCOR model
• supply chain performance measurement attributes
• Multi-Criteria Decision Making (MCDM)
• interval type-2 fuzzy AHP
• interval type-2 fuzzy TOPSIS

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author, upon reasonable request.