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dc.contributor.authorWang, Shubin
dc.contributor.authorLiu, Qilei
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2020-07-29T11:46:24Z
dc.date.available2020-07-29T11:46:24Z
dc.date.issued2020en_US
dc.identifier.citationWang, S., Liu, Q., Dinçer, H. ve Yüksel, S. (2020). Analysis of innovation performance for retail banking industry with the hybrid fuzzy decision-making approach. Sage Open, 10(2). https://dx.doi.org/10.1177/2158244020927425en_US
dc.identifier.issn2158-2440
dc.identifier.urihttps://dx.doi.org/10.1177/2158244020927425
dc.identifier.urihttps://hdl.handle.net/20.500.12511/5644
dc.description.abstractThis study aims to evaluate the innovation performance of the Turkish banking industry. For this purpose, eight different financial and nonfinancial criteria are identified as a result of literature review. Moreover, five biggest Turkish deposit banks are selected as alternatives. Interval type 2 fuzzy decision-making trial and evaluation laboratory (IT2 FDEMATEL) is taken into account to weight the dimensions. On the other side, to rank the alternatives, interval type 2 fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (IT2 FVIKOR) approach is considered. The findings show that market share and return on investment are the most important factors in the innovation performance of retail banking services. This situation gives information that the when banks are more successful in the market, they can make investment to the innovation more effectively. The main reason is that these banks have enough capacity to make this kind of investments. Thus, it is recommended that Turkish banks should first make an efficiency analysis to increase their profit margin so that their capacities can be improved. For this purpose, many different factors should be taken into account by Turkish banks, such as personnel competency and technological development. Within this scope, these banks should make financial analysis of the innovation effectively by generating a qualified team. However, necessary research and development activities should be conducted to reach this objective. Hence, it can be possible to minimize ineffective innovation for the banks.en_US
dc.description.sponsorshipInformation Industry Development Research Center (IIDR) at Xi'an University of Posts and Telecommunications Shaanxi Philosophy and Social Science Key Research Baseen_US
dc.language.isoengen_US
dc.publisherSage Publications Inc.en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectInnovationen_US
dc.subjectBankingen_US
dc.subjectFuzzy Dematelen_US
dc.subjectFuzzy Vikoren_US
dc.subjectInterval Type 2 Fuzzy Setsen_US
dc.titleAnalysis of innovation performance for retail banking industry with the hybrid fuzzy decision-making approachen_US
dc.typearticleen_US
dc.relation.journalSage Openen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.authorid0000-0002-8072-031Xen_US
dc.authorid0000-0002-9858-1266en_US
dc.identifier.volume10en_US
dc.identifier.issue2en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1177/2158244020927425en_US


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