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Issue title: Special section: Decision Making Using Intelligent and Fuzzy Techniques
Guest editors: Cengiz Kahraman
Article type: Research Article
Authors: Maden, Ayçaa; * | Alptekin, Emreb
Affiliations: [a] Management Engineering Department, Beykent University, Maslak, İstanbul, Turkey | [b] Industrial Engineering Department, Galatasaray University, Ortaköy, Istanbul, Turkey
Correspondence: [*] Corresponding author. Ayça Maden, Management Engineering Department, Beykent University, Maslak, 34398, İstanbul, Turkey. E-mail: [email protected].
Abstract: Blockchain practices have been attracting attention in industries other than financial services, since blockchain is not only an information technology, but also an institutional technology owing to its new currency economics and distributed structures. Today, supply chains, power, and food/agriculture have emerged as promising areas in terms of their potential to incorporate blockchain technology for improving processes and reducing costs. Logistics corporations, especially, have been concentrating on developing efficiency in integrated data, fleet management, and communication issues, to achieve cost advantages. Experts from a well-known logistics company in Turkey contributed to our study by helping to assess critical factors for successful blockchain technology implementation. Our research topic included determining whether blockchain technology is suitable for this company. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) was used to determine and evaluate the critical factors to encourage blockchain technology adoption, based on the company’s requirements. For the company experts, the factors affecting the decision to adopt blockchain technology were, in order of priority: cryptocurrency, instant money transfer, privacy, real time processing, smart contract, security, authentication, transparency, immutability, traceability, distributed ledger, reduced delays, and peer-to-peer networks.
Keywords: Blockchain, Fuzzy DEMATEL, supply chain, logistics
DOI: 10.3233/JIFS-189096
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6279-6291, 2020
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