Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach

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dc.authorid0000-0001-6036-0559
dc.authorid0000-0002-9119-3252
dc.contributor.authorChlyeh, Dounia
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorTatoğlu, Ekrem
dc.contributor.authorYılmaz, Mustafa Kemal
dc.contributor.authorDelen, Dursun
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2021-01-28T09:19:12Z
dc.date.available2021-01-28T09:19:12Z
dc.date.issued2021
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.departmentİHÜ, Lisansüstü Eğitim Enstitüsü, İşletme Ana Bilim Dalı
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.
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.
dc.identifier.doi10.1016/j.dss.2020.113473
dc.identifier.issn0167-9236
dc.identifier.scopus2-s2.0-85099518686
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.dss.2020.113473
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1319
dc.identifier.volume142
dc.identifier.wosWOS:000614710900009
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorHacıoğlu, Ümit
dc.institutionauthorChlyeh, Dounia
dc.institutionauthorYılmaz, Mustafa Kemal
dc.institutionauthorTatoğlu, Ekrem
dc.institutionauthorid0000-0001-6036-0559
dc.institutionauthorid0000-0002-9119-3252
dc.language.isoen
dc.publisherElsevier
dc.relation.ihupublicationcategory114
dc.relation.ispartofDecision Support Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.publicationcategoryÖğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAHP
dc.subjectBitcoin
dc.subjectCloud Mining
dc.subjectCryptocurrency Mining
dc.subjectFuzzy-TOPSIS
dc.subjectHosted Mining
dc.titleCrafting performance-based cryptocurrency mining strategies using a hybrid analytics approach
dc.typeArticle
dspace.entity.typePublication
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