Basit öğe kaydını göster

dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.date.accessioned2020-03-20T13:35:21Z
dc.date.available2020-03-20T13:35:21Z
dc.date.issued2019en_US
dc.identifier.citationYüksel, S., Dinçer, H. (2019). SERVQUAL-Based performance analysis of agricultural financing in E-banking industry: An evaluation by IT2 fuzzy decision-making model. Tools and Techniques for Implementing International E-Trading Tactics for Competitive içinde (21-41. ss.). IGI Global. http://doi.org/10.4018/978-1-7998-0035-4.ch002en_US
dc.identifier.isbn9781799800378
dc.identifier.isbn9781799800354
dc.identifier.urihttp://doi.org/10.4018/978-1-7998-0035-4.ch002
dc.identifier.urihttps://hdl.handle.net/20.500.12511/5054
dc.description.abstractThe aim of the study is to measure the effectiveness of commercial banks in the agricultural financing in Turkey. For this purpose, 10 different criteria are identified based on five different SERVQUAL perspectives. Moreover, 10 different Turkish deposit banks traded on BIST are taken into consideration in the analysis process. Interval type-2 fuzzy DEMATEL (IT2 FDEMATEL) method is used to weight the dimensions and criteria. Also, deposit banks are ranked with interval type-2 fuzzy TOPSIS (IT2 FTOPSIS). The findings show that flexibility of needs, branch availability, and qualified personnel are the most important criteria for agricultural financing. Hence, it is recommended that banks design a system in which customers can access the banks in flexible times related to the agricultural financing. Another important recommendation is that banks open new branches near the agricultural regions so that farmers can reach the banking services easily. Furthermore, banks should also improve their personnel for agricultural issues with necessary trainings.en_US
dc.language.isoengen_US
dc.publisherIGI Globalen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzyen_US
dc.subjectAgricultural Financingen_US
dc.subjectAnalysisen_US
dc.titleSERVQUAL-Based performance analysis of agricultural financing in E-banking industry: An evaluation by IT2 fuzzy decision-making modelen_US
dc.typebookParten_US
dc.relation.ispartofTools and Techniques for Implementing International E-Trading Tactics for Competitiveen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.authorid0000-0002-9858-1266en_US
dc.authorid0000-0002-8072-031Xen_US
dc.identifier.startpage21en_US
dc.identifier.endpage41en_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.identifier.doi10.4018/978-1-7998-0035-4.ch002en_US


Bu öğenin dosyaları:

DosyalarBoyutBiçimGöster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster