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

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dc.authorid0000-0002-0068-0048
dc.authorid0000-0001-6036-0559
dc.authorid0000-0001-8857-5148
dc.authorscopusid55734704100
dc.authorscopusid55567227600
dc.authorscopusid57214083720
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorSonko, Mariama
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorYılmaz, Mustafa Kemal
dc.contributor.authorDelen, Dursun
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2023-10-11T06:59:43Z
dc.date.available2023-10-11T06:59:43Z
dc.date.issued2023
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.departmentİHÜ, Lisansüstü Eğitim Enstitüsü, İşletme Ana Bilim Dalı
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.
dc.identifier.citationHacıoğlu, Ü., Dinçer, H., Yılmaz, M. K., Yüksel, S., Sonko, M. ve Delen, D. (2023). Optimizing sustainable industry investment selection: A golden cut-enhanced quantum spherical fuzzy decision-making approach. Applied Soft Computing, 18. https://doi.org/10.1016/j.asoc.2023.110853
dc.identifier.doi10.1016/j.asoc.2023.110853
dc.identifier.issn15684946
dc.identifier.scopus2-s2.0-85172915070
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2023.110853
dc.identifier.urihttps://hdl.handle.net/20.500.12154/2375
dc.identifier.volume148
dc.identifier.wosWOS:001149271000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorHacıoğlu, Ümit
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYılmaz, Mustafa Kemal
dc.institutionauthorid0000-0002-0068-0048
dc.institutionauthorid0000-0001-6036-0559
dc.institutionauthorid0000-0001-8857-5148
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofApplied Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrenci
dc.relation.publicationcategoryÖğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmz20240905
dc.subjectDecision Analytics
dc.subjectSustainability
dc.subjectEmerging Markets
dc.subjectGolden Cut
dc.subjectQuantum Spherical Fuzzy Sets
dc.titleOptimizing sustainable industry investment selection: A golden cut-enhanced quantum spherical fuzzy decision-making approach
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
relation.isAuthorOfPublication9b408141-b1c4-485b-8f06-14ff4eccc6a7
relation.isAuthorOfPublicationde384c43-bcde-4ccb-a0b7-39ead0e59bd0
relation.isAuthorOfPublication.latestForDiscoveryd5642aa4-347e-4bbe-bcd5-6b4b19a4c49f
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