Sustainability analysis of digital transformation and circular industrialization with quantum spherical fuzzy modeling and golden cuts

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dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-8072-031X
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2023-03-31T05:44:12Z
dc.date.available2023-03-31T05:44:12Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThe purpose of this study is to identify the most essential criteria necessary for cyclical production and digital transformation in countries. First, eight factors are weighted by considering the Quantum spherical fuzzy (QSF) DEMATEL with golden cut method. Furthermore, QSF M-SWARA is also used to weight the criteria so that a comparative evaluation can be performed. Next, emerging seven countries are evaluated according to the performance of cyclical production and digital transformation with QSF TOPSIS with golden cut. A comparative evaluation has also been performed by using QSF ELECTRE methodology. Additionally, the sensitivity analysis is applied with 8 cases by changing the weighting results of the criteria consecutively. It is seen that the ranking results are quite similar for all different cases that indicate the coherency and reliability of the proposed model. The most important novelty of this study is to make a priority analysis by developing an original fuzzy decision-making model to provide cyclical production and digital transformation in enterprises. The findings demonstrate that new generation energy technologies have the greatest importance. Owing to new energy technologies, the use of clean energy can be increased. This issue has an important influence on reaching energy efficiency and reduction of carbon emission problem. Therefore, the purpose of circular production and digital transformation can be achieved much easily.
dc.description.sponsorshipTurkish Academy of Scienceen_US
dc.identifier.citationYüksel, S. ve Dinçer, H. (2023). Sustainability analysis of digital transformation and circular industrialization with quantum spherical fuzzy modeling and golden cuts. Applied Soft Computing, 138. https://dx.doi.org/10.1016/j.asoc.2023.110192
dc.identifier.doi10.1016/j.asoc.2023.110192
dc.identifier.issn1568-4946
dc.identifier.scopus2-s2.0-85150341996
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://dx.doi.org/10.1016/j.asoc.2023.110192
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10775
dc.identifier.volume138
dc.identifier.wos001027286900001en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYüksel, Serhat
dc.institutionauthorDinçer, Hasan
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCircular Economy
dc.subjectCircular Industrialization
dc.subjectDEMATEL
dc.subjectDigital Transformation
dc.subjectGolden Ratio
dc.subjectQuantum Spherical Fuzzy Sets
dc.subjectSustainability
dc.subjectTOPSIS
dc.titleSustainability analysis of digital transformation and circular industrialization with quantum spherical fuzzy modeling and golden cuts
dc.typeArticle

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