Weighting ESG criteria of banks by using interval valued intuitionistic fuzzy best worst method

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dc.contributor.author Şimşek Yağlı, Burcu
dc.contributor.author Doğan, Nuri Özgür
dc.contributor.author Yağlı, İbrahim
dc.date.accessioned 2022-11-07T11:27:42Z
dc.date.available 2022-11-07T11:27:42Z
dc.date.issued 2022-07-05
dc.identifier.citation Simsek Yagli, B., Dogan, N. O., & Yagli, I. (2022). Weighting ESG Criteria of Banks by Using Interval Valued Intuitionistic Fuzzy Best Worst Method. In International Conference on Intelligent and Fuzzy Systems (pp. 598-605). Springer, Cham. tr_TR
dc.identifier.isbn 978-3-031-09172-8
dc.identifier.uri http://hdl.handle.net/20.500.11787/7717
dc.description.abstract Even though the ESG-financial performance relationship is well addressed with the ambiguous results, the literature lacks to determine the relative importance of individual ESG criteria regarding sustainability. To fill this gap, the study aims to determine the relative weights of ESG criteria for the banking industry from the perspective of scholars. To reach the aim of the paper, we employ Interval Valued Intuitionistic Fuzzy Best Worst Method and reveal that Governance (C3) is the most significant criteria among the main criteria, followed by Social (C2) and Environment (C1) criteria. Regarding sub-criteria, Management (G1), Shareholders (G2) and Workforce (S1) are the most significant sub-criteria whereas Product responsibility (S4), Resource Use (E1) and Emissions (E2) are the least significant sub-criteria, respectively. These results do not fully represent real weights because of the subjective judgments of decision makers but it gives banking sector practitioners to comparable reference to allocate their scarce resources. tr_TR
dc.language.iso eng tr_TR
dc.publisher Springer tr_TR
dc.relation.isversionof 10.1007/978-3-031-09173-5_69 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Banking industry tr_TR
dc.subject ESG tr_TR
dc.subject Interval valued intuitionistic fuzzy sets tr_TR
dc.subject Best worst method tr_TR
dc.title Weighting ESG criteria of banks by using interval valued intuitionistic fuzzy best worst method tr_TR
dc.type bookPart tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal International Conference on Intelligent and Fuzzy Systems tr_TR
dc.contributor.department Nevşehir Hacı Bektaş Veli Üniversitesi/iktisadi ve idari bilimler fakültesi/işletme bölümü/sayısal yöntemler anabilim dalı tr_TR
dc.contributor.authorID 247783 tr_TR
dc.identifier.startpage 598 tr_TR
dc.identifier.endpage 605 tr_TR


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