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dc.contributor.authorBüyüközkan, G.
dc.contributor.authorFeyzioğlu, O.
dc.contributor.authorHavle, Celal Alpay
dc.contributor.editorKahraman, C.
dc.contributor.editorCebi, S.
dc.contributor.editorOnar, S. C.
dc.contributor.editorOztaysi, B.
dc.contributor.editorTolga, A. C.
dc.contributor.editorSari, I. U.
dc.date.accessioned2021-10-12T05:42:15Z
dc.date.available2021-10-12T05:42:15Z
dc.date.issued2020
dc.identifier.isbn978-303023755-4
dc.identifier.issn2194-5357en_US
dc.identifier.urihttp://hdl.handle.net/10679/7633
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-030-23756-1_73
dc.description.abstractRecently, emerging digital technologies have launched digital transformation, and it has become a factor that determines the competitiveness of companies, their performance, and digital sustainability. At this point, the aviation industry is one of the areas where digital transformation applications are visible. Both airlines and airports have initiated their digital transformation processes. Just like industry 4.0, the period of aviation 4.0 including airline 4.0 and airport 4.0 has started. Hence, the success of the companies in the aviation industry has become extremely important for their sustainability in terms of aviation 4.0. The aim of this study is then to analyze the success factors of aviation 4.0. The factors are obtained via the literature survey and expert opinions. An integrated approach is used based on intuitionistic fuzzy multi-criteria decision making (IF MCDM) techniques. The weights of the success criteria are calculated by using the IF AHP (Analytic Hierarchy Process). IF VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) method is used for selection of the most successful company among alternatives. IF helps to eliminate the complexity of real-life problems, an uncertainty of decision-making processes and it allows us to consider hesitation and intuition of decision makers.en_US
dc.description.sponsorshipGalatasaray Üniversitesi
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, Part of the Advances in Intelligent Systems and Computing book series (AISC)
dc.rightsrestrictedAccess
dc.titleAnalysis of success factors in aviation 4.0 using integrated intuitionistic fuzzy MCDM methodsen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-7729-2206 & YÖK ID 237676) Havle, Celal
dc.contributor.ozuauthorHavle, Celal Alpay
dc.identifier.volume1029en_US
dc.identifier.startpage598en_US
dc.identifier.endpage606en_US
dc.identifier.doi10.1007/978-3-030-23756-1_73en_US
dc.subject.keywordsAviation 4.0en_US
dc.subject.keywordsDigital transformationen_US
dc.subject.keywordsIF AHPen_US
dc.subject.keywordsIF VIKORen_US
dc.subject.keywordsIF MCDMen_US
dc.subject.keywordsSuccess factorsen_US
dc.identifier.scopusSCOPUS:2-s2.0-85069490279
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institution Academic Staff


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