Critical success factors for the iron and steel industry in Turkey: A fuzzy DEMATEL approach

dc.authoridTR149435en_US
dc.authoridTR143825en_US
dc.authoridTR110204en_US
dc.authoridTR143828en_US
dc.authoridTR44784en_US
dc.contributor.authorKabak, Özgür
dc.contributor.authorÜlengin, Füsun
dc.contributor.authorÇekyay, Bora
dc.contributor.authorÖnsel, Şule
dc.contributor.authorÖzaydın, Özay
dc.date.accessioned2018-03-20T06:20:43Z
dc.date.available2018-03-20T06:20:43Z
dc.date.issued2016-06
dc.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionÇekyay, Bora (Dogus Author) -- Önsel, Şule (Dogus Author) -- Özaydın, Özay (Dogus Author)en_US
dc.description.abstractThe attempt to improve the efficiency and competitiveness of an industrial sector is aided by the determination of critical success factors (CSFs) which focus efforts in those areas that really affect the whole industry, thereby conserving limited resources. In this paper, a three-stage methodology is proposed to find CSFs for an industrial sector. The methodology specifies the interrelations between factors that shape the global competitiveness of a country as a whole and those that shape the competitiveness of the particular industry in question. It integrates a Web-based survey, a Delphi-type workshop, and a fuzzy decision making trial and evaluation laboratory model to highlight those CSFs upon which policymakers should especially concentrate in order to increase the competitiveness of a given industry. This methodology is then applied to a case study, identifying the CSFs of the iron and steel industry in Turkey. The results show that the burden of custom procedures, total tax rate, scope and impact of taxation, and solidity of banks are the CSFs for the competitiveness of the Turkish iron and steel industry.en_US
dc.identifier.citationKabak, Ö., Ülengin, F., Çekyay, B., Önsel, Ş., & Özaydın, Ö. (2016). Critical success factors for the iron and steel industry in Turkey: A fuzzy DEMATEL approach. International Journal of Fuzzy Systems, 18(3), 523-536, https://dx.doi.org/10.1007/s40815-015-0067-7en_US
dc.identifier.doi10.1007/s40815-015-0067-7
dc.identifier.endpage536en_US
dc.identifier.issn1562-2479
dc.identifier.issn2199-3211
dc.identifier.issue3en_US
dc.identifier.other000378230300015 (WOS)
dc.identifier.scopus2-s2.0-84975818556en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage523en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s40815-015-0067-7
dc.identifier.urihttps://hdl.handle.net/11376/3102
dc.identifier.volume18en_US
dc.identifier.wosWOS:000378230300015en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇekyay, Bora
dc.institutionauthorÖnsel, Şule
dc.institutionauthorÖzaydın, Özay
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofInternational Journal of Fuzzy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCritical Success Factorsen_US
dc.subjectDecision Making Trial and Evaluation Laboratory (DEMATEL)en_US
dc.subjectFuzzy Set Theoryen_US
dc.subjectDelphi Methoden_US
dc.subjectIron and Steel Industryen_US
dc.titleCritical success factors for the iron and steel industry in Turkey: A fuzzy DEMATEL approachen_US
dc.typeArticleen_US

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