Pattern recognition of financial innovation life cycle for renewable energy investments with integer code series and multiple technology S-curves based on Q-ROF DEMATEL

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dc.authorid0000-0002-8072-031X
dc.authorid0000-0002-9858-1266
dc.contributor.authorKou, Gang
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2024-02-23T11:48:38Z
dc.date.available2024-02-23T11:48:38Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractThe current study evaluates the financial innovation life cycle for renewable energy investments. A novel model is proposed that has two stages. First, the financial innovation life cycle is weighted by the two-generation technology S-curve (TTSC) for renewable energy investments. Second, the TTSC is ranked with integer patterns for renewable energy investments. For this purpose, the decision-making trial and evaluation laboratory (DEMATEL) is considered with q-rung orthopair fuzzy sets (q-ROFSs). A comparative examination is then performed using intuitionistic and Pythagorean fuzzy sets, and we find similar results for all fuzzy sets. Hence, the suggested model is reliable and coherent. Maturity phase 1 is the most significant phase of the financial innovation life cycle for these projects. Aging is the most important period for financial innovation in renewable energy investment projects—renewable energy companies should make strategic decisions after that point. In this situation, decisions should relate to either radical or incremental innovation. If companies do not make decisions during these phases, innovative financial products cannot be improved. As a result, renewable energy companies will not prefer financing products.
dc.description.sponsorshipState key R&D Program of Chinaen_US
dc.identifier.citationKou, G., Dinçer, H. ve Yüksel, S. (2024). Pattern recognition of financial innovation life cycle for renewable energy investments with integer code series and multiple technology S-curves based on Q-ROF DEMATEL. Financial Innovation, 10(1). https://dx.doi.org/10.1186/s40854-024-00616-4
dc.identifier.doi10.1186/s40854-024-00616-4
dc.identifier.issn2199-4730
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85184904183
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://dx.doi.org/10.1186/s40854-024-00616-4
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12311
dc.identifier.volume10
dc.identifier.wos001157037600001en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofFinancial Innovationen_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.subjectRenewable Energy Investments
dc.subjectQ-ROF Sets
dc.subjectDEMATEL
dc.subjectFinancial Innovation
dc.titlePattern recognition of financial innovation life cycle for renewable energy investments with integer code series and multiple technology S-curves based on Q-ROF DEMATEL
dc.typeArticle

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