Multidimensional analysis of investment priorities for circular economy with Quantum Spherical Fuzzy Hybrid Modeling

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-0068-0048
dc.authorid0000-0001-8860-3903
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorErdebilli, Babek
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2024-03-22T08:29:08Z
dc.date.available2024-03-22T08:29:08Z
dc.date.issued2024
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description[ArticleInPress]
dc.description.abstractCircular economy aims recycling in the production process instead of destroying the products. With the help of this situation, waste can be considered in the remanufacturing process so that the rate of consumption of natural resources can be decreased. It is necessary to focus on certain investment issues to achieve a circular economy, but all investments have some risks. Hence, the economies should make priority analysis to take efficient actions. Investment priorities are identified to have circular economy. A novel fuzzy decision-making model has been created for this purpose. In the first stage, balanced scorecard criteria are evaluated with the help of multi stepwise weight assessment ratio analysis (M-SWARA). Later, the multidimensional investment priorities of circular economy are ranked. In this context, elimination and choice translating reality (ELECTRE) approach is taken into consideration. The main contribution of the paper is that a new methodology is created by the name of M-SWARA. Owing to these new improvements, cause and effect relationship among the items can be analyzed. It is identified that financial issues play the most crucial role for investments to improve circular economy. On the other side, it is also concluded that remanufacturing is the most significant investment alternative to develop circular economy. For the sustainability of the investment to improve circular economy, necessary financial analysis should be performed. With the help of this situation, these substances can be reintroduced into the production process in the form of raw materials. With the increase of remanufacturing, it will be possible to reduce waste and save scarce material resources.
dc.identifier.citationDinçer, H., Yüksel, S., Hacıoğlu, Ü. ve Erdebilli, B. (2024). Multidimensional analysis of investment priorities for circular economy with Quantum Spherical Fuzzy Hybrid Modeling. International Journal of Information Technology & Decision Making. https://doi.org/10.1142/S021962202350075X
dc.identifier.doi10.1142/S021962202350075X
dc.identifier.issn0219-6220
dc.identifier.issn1793-6845
dc.identifier.scopus2-s2.0-85188893991
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1142/S021962202350075X
dc.identifier.urihttps://hdl.handle.net/20.500.12154/2745
dc.identifier.wosWOS:001157937900001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorHacıoğlu, Ümit
dc.institutionauthorid0000-0002-8072-031X
dc.institutionauthorid0000-0002-0068-0048
dc.language.isoen
dc.publisherWorld Scientific Publishing
dc.relation.ispartofInternational Journal of Information Technology & Decision Making
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCircular Economy
dc.subjectInvestment Analysis
dc.subjectCorporate Finance
dc.subjectEconomic Growth
dc.subjectFuzzy Decision-Making
dc.titleMultidimensional analysis of investment priorities for circular economy with Quantum Spherical Fuzzy Hybrid Modeling
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isAuthorOfPublication.latestForDiscoveryd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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