The blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregation

dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.authoridBiswas, Sanjib/0000-0002-9243-2403
dc.authorwosidPamucar, Dragan/AAG-8288-2019
dc.authorwosidBiswas, Sanjib/C-4671-2019
dc.contributor.authorGörçün, Ömer Faruk
dc.contributor.authorPamucar, Dragan
dc.contributor.authorBiswas, Sanjib
dc.date.accessioned2023-10-19T15:11:43Z
dc.date.available2023-10-19T15:11:43Z
dc.date.issued2023
dc.department-temp[Gorcun, Omer Faruk] Kadir Has Univ, Fac Econ Adm & Social Sci, Dept Business Adm, Cibali Ave Kadir Has St Fatih, TR-34083 Istanbul, Turkiye; [Pamucar, Dragan] Univ Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia; [Biswas, Sanjib] Calcutta Business Sch, Decis Sci Operat Management & Informat Syst, South 24, Parganas 743503, India; [Pamucar, Dragan] Yuan Ze Univ, Coll Engn, Taoyuan, Taiwanen_US
dc.description.abstractLogistics is a sophisticated system involving third-party logistics (3PL) providers, freight forwarders, warehousing companies, and transport service producers in various transport modes, such as road, rail, air, maritime, and multimodal transportation. Furthermore, it is possible to add customs clearance agencies, insurance companies, banks, and relevant institutions and organizations to the system. Effective logistics systems must sustainably provide customers with quality and satisfactory logistics services using data shared over advanced technologies. Nevertheless, data and information on logistics are usually challenging to collect, process, and understand, as they are primarily unstructured, unreachable, and unstandardized. Blockchain is a new and advanced technology promising to eliminate or mitigate the adverse effects of these difficulties. However, blockchain technology practices in the logistics industry are extraordinarily scarce; and a few blockchain platforms have attempted to produce solutions for a few large-scale and global logistics firms. Hence, the digital transformation process involving blockchain technology for a logistics company encounters the challenge of selecting an appropriate blockchain platform for the logistics industry's needs. Although studies have been carried out in the relevant literature to select a suitable blockchain platform for various industries, few of these studies dealt with selecting the best blockchain platform for the logistics industry. Hence, experimental studies on choosing the proper blockchain platform in the logistics industry that tries to manage outstandingly complicated relations and linkages among stakeholders are currently inadequate. The current study presents a novel, robust, practical, and powerful decision-making tool that can also overcome highly complex uncertainties to identify the most feasible blockchain technology for the logistics industry. The robustness of the study's findings is validated with comprehensive sensitivity and comparative analyses.en_US
dc.identifier.citation18
dc.identifier.doi10.1016/j.ins.2023.03.113en_US
dc.identifier.endpage374en_US
dc.identifier.issn0020-0255
dc.identifier.issn1872-6291
dc.identifier.scopus2-s2.0-85151805514en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage345en_US
dc.identifier.urihttps://doi.org/10.1016/j.ins.2023.03.113
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5186
dc.identifier.volume635en_US
dc.identifier.wosWOS:000982205200001en_US
dc.identifier.wosqualityQ1
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofInformation Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFermatean fuzzy sets (FFS)en_US
dc.subjectFUCOMen_US
dc.subjectMAIRCAen_US
dc.subjectOperatorsEn_Us
dc.subjectTechnology provider selectionen_US
dc.subjectBCTen_US
dc.subjectOperators
dc.subjectLogistics industryen_US
dc.titleThe blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregationen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication4d0f6004-dbe4-4e79-befd-457af3bb133f
relation.isAuthorOfPublication.latestForDiscovery4d0f6004-dbe4-4e79-befd-457af3bb133f

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
5186.pdf
Size:
2.19 MB
Format:
Adobe Portable Document Format
Description:
Tam Metin / Full Text