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dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorAn, Jaehyung
dc.contributor.authorMikhaylov, Alexey
dc.date.accessioned2024-07-01T11:25:01Z
dc.date.available2024-07-01T11:25:01Z
dc.date.issued2024en_US
dc.identifier.citationDinçer, H., Yüksel, S., An, J. ve Mikhaylov, A. (2024). Quantum and AI-based uncertainties for impact-relation map of multidimensional NFT investment decisions. Finance Research Letters, 66. http://dx.doi.org/10.1016/j.frl.2024.105723en_US
dc.identifier.issn1544-6123
dc.identifier.urihttp://dx.doi.org/10.1016/j.frl.2024.105723
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12676
dc.description.abstractThe purpose of this study is to identify the most essential determinants of NFT investments with a novel artificial intelligence based fuzzy decision-making model. First, the expert choices are prioritized with artificial intelligence methodology. Secondly, the criteria for multidimensional NFT investment decisions are weighted with Quantum picture fuzzy rough sets based DEMATEL. The findings denote that market trends and expected quality have the greatest weight. It is understood that customer satisfaction plays the most crucial role to increase the effectiveness of NFT investments.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInvestment Analysisen_US
dc.subjectNFTen_US
dc.subjectStrategic Decisionsen_US
dc.titleQuantum and AI-based uncertainties for impact-relation map of multidimensional NFT investment decisionsen_US
dc.typearticleen_US
dc.relation.ispartofFinance Research Lettersen_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.volume66en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.identifier.scopus2-s2.0-85196360852en_US
dc.identifier.scopusqualityQ1en_US


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