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dc.contributor.authorEcer, Fatih
dc.contributor.authorMurat, Tolga
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2024-02-12T07:02:59Z
dc.date.available2024-02-12T07:02:59Z
dc.date.issued2024en_US
dc.identifier.citationEcer, F., Murat, T., Dinçer, H. ve Yüksel, S. (2024). A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye. Financial Innovation, 10(1). https://dx.doi.org/10.1186/s40854-023-00543-wen_US
dc.identifier.issn2199-4730
dc.identifier.urihttps://dx.doi.org/10.1186/s40854-023-00543-w
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12260
dc.description.abstractCrypto assets have become increasingly popular in recent years due to their many advantages, such as low transaction costs and investment opportunities. The performance of crypto exchanges is an essential factor in developing crypto assets. Therefore, it is necessary to take adequate measures regarding the reliability, speed, user-friendliness, regulation, and supervision of crypto exchanges. However, each measure to be taken creates extra costs for businesses. Studies are needed to determine the factors that most affect the performance of crypto exchanges. This study develops an integrated framework, i.e., fuzzy best-worst method with the Heronian function-the fuzzy measurement of alternatives and ranking according to compromise solution with the Heronian function (FBWM'H-FMARCOS'H), to evaluate cryptocurrency exchanges. In this framework, the fuzzy best-worst method (FBWM) is used to decide the criteria's importance, fuzzy measurement of alternatives and ranking according to compromise solution (FMARCOS) is used to prioritize the alternatives, and the Heronian function is used to aggregate the results. Integrating a modified FBWM and FMARCOS with Heronian functions is particularly appealing for group decision-making under vagueness. Through case studies, some well-known cryptocurrency exchanges operating in Turkiye are assessed based on seven critical factors in the cryptocurrency exchange evaluation process. The main contribution of this study is generating new priority strategies to increase the performance of crypto exchanges with a novel decision-making methodology. "Perception of security," "reputation," and "commission rate" are found as the foremost factors in choosing an appropriate cryptocurrency exchange for investment. Further, the best score is achieved by Coinbase, followed by Binance. The solidity and flexibility of the methodology are also supported by sensitivity and comparative analyses. The findings may pave the way for investors to take appropriate actions without incurring high costs.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectCryptocurrencyen_US
dc.subjectCryptocurrency Platformen_US
dc.subjectCryptocurrency Exchange Selectionen_US
dc.subjectInvestment Decisionsen_US
dc.subjectMCDMen_US
dc.subjectFuzzy Setsen_US
dc.titleA fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiyeen_US
dc.typearticleen_US
dc.relation.ispartofFinancial Innovationen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.authorid0000-0002-8072-031Xen_US
dc.authorid0000-0002-9858-1266en_US
dc.identifier.volume10en_US
dc.identifier.issue1en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1186/s40854-023-00543-wen_US
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.identifier.wosqualityQ1en_US
dc.identifier.wos001145249600001en_US
dc.identifier.scopus2-s2.0-85171553815en_US
dc.identifier.scopusqualityQ1en_US


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