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

Basit Öğe Kaydı
dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.contributor.authorHacıoğlu, Ümit
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYılmaz, Mustafa Kemal
dc.contributor.authorYüksel, Serhat
dc.contributor.authorSonko, Mariama
dc.contributor.authorDelen, Dursun
dc.date.accessioned2023-10-16T12:27:26Z
dc.date.available2023-10-16T12:27:26Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
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, 148. https://doi.org/10.1016/j.asoc.2023.110853
dc.identifier.doi10.1016/j.asoc.2023.110853
dc.identifier.issn1568-4946
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/20.500.12511/11590
dc.identifier.volume148
dc.identifier.wos001149271000001en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
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.subjectDecision Analytics
dc.subjectEmerging Markets
dc.subjectGolden Cut
dc.subjectQuantum Spherical Fuzzy Sets
dc.subjectSustainability
dc.titleOptimizing sustainable industry investment selection: A golden cut-enhanced quantum spherical fuzzy decision-making approach
dc.typeArticle

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu