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dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorChlyeh, Dounia
dc.contributor.authorYılmaz, Mustafa Kemal
dc.contributor.authorTatoğlu, Ekrem
dc.contributor.authorDelen, Dursun
dc.date.accessioned2021-01-28T09:19:12Z
dc.date.available2021-01-28T09:19:12Z
dc.date.issued2021en_US
dc.identifier.citationHacıoğlu, Ü., Chlyeh, D., Yılmaz, M. K., Tatoğlu, E. ve Delen, D. (2021). Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach. Decision Support Systems, 142.en_US
dc.identifier.issn0167-9236
dc.identifier.urihttps://doi.org/10.1016/j.dss.2020.113473
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1319
dc.description.abstractCrafting and executing the best cryptocurrency mining strategy is vital to succeeding in cryptocurrency market investments. This study aims to identify the best cryptocurrency mining strategy based on service providers’ performance for cryptocurrency mining using a hybrid analytics approach, which integrates the Analytic Hierarchy Process (AHP) and Fuzzy-TOPSIS techniques, along with sensitivity analysis. The results show that hosted mining is the overall best cryptocurrency mining strategy, followed by home mining and cloud mining, based on both total cost of operations and cryptocurrency payout criteria. The empirical findings also suggest that the critical features of the highest performing service providers (i.e., hosted mining strategies and cloud mining) were their flexibility of contracts and the superior efficiency in terms of the daily payout. Finally, of the three location alternatives for home mining, Turkey ranks first compared to the U.S. and Europe.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofDecision Support Systemsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAHPen_US
dc.subjectBitcoinen_US
dc.subjectCloud Miningen_US
dc.subjectCryptocurrency Miningen_US
dc.subjectFuzzy-TOPSISen_US
dc.subjectHosted Miningen_US
dc.titleCrafting performance-based cryptocurrency mining strategies using a hybrid analytics approachen_US
dc.typearticleen_US
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümüen_US
dc.authorid0000-0001-6036-0559en_US
dc.authorid0000-0002-9119-3252en_US
dc.identifier.volume142en_US
dc.ihuauthorid0000-0001-6036-0559en_US
dc.ihuauthorid0000-0002-9119-3252en_US
dc.relation.ihupublicationcategory114en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorHacıoğlu, Ümit
dc.contributor.institutionauthorChlyeh, Dounia
dc.contributor.institutionauthorYılmaz, Mustafa Kemal
dc.contributor.institutionauthorTatoğlu, Ekrem
dc.identifier.doi10.1016/j.dss.2020.113473en_US
dc.description.wosqualityQ1en_US
dc.description.wospublicationidWOS:000614710900009en_US
dc.description.scopuspublicationid2-s2.0-85099518686en_US


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