Optimizing sustainable industry investment selection: A golden cut-enhanced quantum spherical fuzzy decision-making approach

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dc.authoridDelen, Dursun/0000-0001-8857-5148
dc.authoridHacioglu, Umit/0000-0002-0068-0048
dc.authoridYilmaz, Mustafa Kemal/0000-0001-6036-0559
dc.authorwosidDelen, Dursun/AGA-9892-2022
dc.authorwosidHacioglu, Umit/O-4311-2015
dc.authorwosidYilmaz, Mustafa Kemal/S-9489-2017
dc.contributor.authorHacioglu, Umit
dc.contributor.authorDincer, Hasan
dc.contributor.authorYilmaz, Mustafa Kemal
dc.contributor.authorYuksel, Serhat
dc.contributor.authorSonko, Mariama
dc.contributor.authorDelen, Dursun
dc.date.accessioned2024-05-19T14:40:42Z
dc.date.available2024-05-19T14:40:42Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis study aims to rank sustainable industry alternatives in emerging markets based on the directional impact relations of the environmental, social, and governance (ESG) index components for a socially and environmentally conscious investment strategy. To achieve this goal, we employ a golden cut-enhanced quantum spherical fuzzy decision-making approach. Specifically, we first use a quantum spherical fuzzy DEMATEL technique to identify the impact-relation directions and the weights of the ESG criteria set. Second, we employ the extended TOPSIS with the quantum spherical fuzzy sets to rank the industry alternatives concerning their directional ESG performances. The findings show that (i) H20 Emissions, Innovation, Community Investment, Gender Equity, Human Rights, and CSR Strategy are the main influencing factors based on their impact-relations directional scores, (ii) Resource Usage, Product Responsibility, and Shareholders' Rights are the set of criteria under the influence of remaining ESG, (iii) Innovation is the strongest ESG performance criterion, whereas Human Rights is the weakest, (iv) technology and communication are the best-performing industries based on the directional ESG index performance scores, whereas real estate and basic materials industries are the worst performing. The study provides valuable and actionable insights for companies that aim to make socially responsible investments.en_US
dc.identifier.doi10.1016/j.asoc.2023.110853
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85172915070en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.asoc.2023.110853
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5002
dc.identifier.volume148en_US
dc.identifier.wosWOS:001149271000001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectDecision Analyticsen_US
dc.subjectSustainabilityen_US
dc.subjectEmerging Marketsen_US
dc.subjectGolden Cuten_US
dc.subjectQuantum Spherical Fuzzy Setsen_US
dc.titleOptimizing sustainable industry investment selection: A golden cut-enhanced quantum spherical fuzzy decision-making approachen_US
dc.typeArticleen_US

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