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dc.contributor.authorChen, Jui-Kueien_US
dc.contributor.authorChen, I-Shuoen_US
dc.date.accessioned2014-12-08T15:47:37Z-
dc.date.available2014-12-08T15:47:37Z-
dc.date.issued2010-12-01en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2010.05.043en_US
dc.identifier.urihttp://hdl.handle.net/11536/31871-
dc.description.abstractDue to the occurrence of several recent threats, such as, from an international perspective, SARS, the 9/11 terrorist attack, increases in the price of oil, depressions in the economy, and, from a domestic perspective, increasing interaction with China, joining the WTO, low railway prices, and high-speed rail development, resulting in passenger rate dropping drastically, an increasing number of Taiwanese airlines have been facing deficits or closing down in recent years. Therefore, long-term strategies for gaining a competitive advantage are now starting to focus on innovation rather than cost reduction. Although attention to the importance of innovation is rising, there are few studies today that provide airlines with a clear and precise way to successfully conduct innovation operations. The aim of this study is to solve this dilemma by constructing a novel aviatic innovation system (AIS). In this paper, a hybrid fuzzy multiple criteria decision-making (MCDM) model based on a fuzzy analytical hierarchical process (FAHP) and a VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is adopted to complete the construction of the AIS. The value of the AIS is to provide Taiwanese airlines with innovation-oriented techniques for future strategy development. We believe that the AIS can contribute to the survival of Taiwanese airlines in the near future. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectFuzzy analytic hierarchical process (FAHP)en_US
dc.subjectVlseKriterijumska Optimizacija Ien_US
dc.subjectKompromisno Resenje (VIKOR)en_US
dc.subjectAviatic innovation system (AIS)en_US
dc.titleAviatic innovation system construction using a hybrid fuzzy MCDM modelen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2010.05.043en_US
dc.identifier.journalEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.citation.volume37en_US
dc.citation.issue12en_US
dc.citation.spage8387en_US
dc.citation.epage8394en_US
dc.contributor.department經營管理研究所zh_TW
dc.contributor.departmentInstitute of Business and Managementen_US
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