Strategy generation for risk minimization of renewable energy technology ınvestments in hospitals with sf top-dematel methodology

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-4791-4091
dc.authorid0000-0002-9858-1266
dc.authorid0000-0002-3390-4597
dc.authorid0000-0002-7412-5418
dc.contributor.authorDinçer, Hasan
dc.contributor.authorEti, Serkan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorGökalp, Yaşar
dc.contributor.authorÇelebi, Büşra
dc.date.accessioned2024-04-26T12:40:33Z
dc.date.available2024-04-26T12:40:33Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Sağlık Yönetimi Bölümü
dc.description.abstractEffective risk management plays an important role to improve renewable energy technology investments. Because of this issue,necessary actions must be implemented to effectively manage these risks. However, having high costs is the biggest disadvantage of theimplementation of these actions. Therefore, it is not financially possible to implement different strategies together. In other words, it isnecessary to identify the most important of these strategies. Accordingly, the purpose of this study is to make a priority evaluation for therisk strategies related to renewable energy technologies in hospitals. For this purpose, a new model is generated with spherical fuzzy (SF)TOP-DEMATEL technique. In this process, significant indicators are defined based on literature evaluations. In the next process, theweights of these indicators are calculated. The main contribution of this study is that a new technique is proposed by the name of TOP-DEMATEL. In this scope, the final steps of TOPSIS are integrated to the analysis process of DEMATEL to overcome criticisms forclassical DEMATEL technique. Moreover, a priority evaluation is carried out to understand the most critical risk management strategies inrenewable energy technology investments. With the help of this analysis, it can be much easier to take risk management actions withouthaving financial difficulties. It is determined that the weighting results of the criteria are quite similar for different t values. This situationidentifies that the proposed model provides coherent and reliable results. It is concluded that government support is the most importantstrategy in this context. Additionally, technological improvements also play a crucial role for this situation. It is strongly recommended thatgovernments should establish appropriate legal and regulatory frameworks to promote renewable energy projects. These frameworks canfacilitate the financing and licensing of projects and offer economic incentives such as tax incentives and subsidies.
dc.identifier.citationDinçer, H., Eti, S., Yüksel, S., Gökalp, Y. ve Çelebi, B. (2024). Strategy generation for risk minimization of renewable energy technology ınvestments in hospitals with sf top-dematel methodology. Journal of Computational and Cognitive Engineering, (3)1, 58-66. http://dx.doi.org/10.47852/bonviewJCCE32021141
dc.identifier.doi10.47852/bonviewJCCE32021141
dc.identifier.endpage66
dc.identifier.issn2810-9570
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85188097277
dc.identifier.scopusqualityN/A
dc.identifier.startpage58
dc.identifier.urihttp://dx.doi.org/10.47852/bonviewJCCE32021141
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12421
dc.identifier.volume3
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorEti, Serkan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorGökalp, Yaşar
dc.institutionauthorÇelebi, Büşra
dc.language.isoen
dc.publisherBon View Publishing Pte Ltd
dc.relation.ispartofJournal of Computational and Cognitive Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectFuzzy Logic
dc.subjectDecision-Making Models
dc.subjectSpherical Fuzzy Sets
dc.subjectTop-Dematel
dc.subjectRenewable Energy İnvestments
dc.subjectHospitals
dc.titleStrategy generation for risk minimization of renewable energy technology ınvestments in hospitals with sf top-dematel methodology
dc.typeArticle

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