Evaluation of the effects of blockchain technology characteristics on SCOR model supply chain performance measurement attributes using an integrated fuzzy MCDM methodology-Reference-Cited by-同舟云学术

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

Published:2023-03-24 Issue: Volume: Page:1-31
ISSN:1367-5567
Container-title:International Journal of Logistics Research and Applications
language:en
Short-container-title:International Journal of Logistics Research and Applications

Author:

Çıkmak Sinan¹^ORCID,Kantoğlu Barış²^ORCID,Kırbaç Gökhan³^ORCID

Affiliation:

1. Social Sciences Vocational School, Duzce University, Duzce, Turkey

2. Department of Industrial Engineering, Duzce University, Duzce, Turkey

3. Vocational School, Istanbul Kültür University, Istanbul, Turkey

Publisher

Informa UK Limited

Subject

Management Science and Operations Research,Management Information Systems,Business and International Management,Strategy and Management,Management of Technology and Innovation

Link

https://www.tandfonline.com/doi/pdf/10.1080/13675567.2023.2193736

Reference113 articles.

1. Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry

2. Blockchain evaluation framework for supply chain management: a decision-making approach

3. APICS. 2017. APICS Supply Chain Operations Reference Model Version 12.0. In APICS. http://www.apics.org/docs/default-source/scor-training/scor-v12-0-framework-introduction.pdf?sfvrsn=2.

4. Evaluating the feasibility of blockchain in logistics operations: A decision framework

5. Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0

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