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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/62096

    Title: A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry
    Authors: Liou, James J.-H.;Tzeng, Gwo-Hshiung;Tsai, Chieh-yuan;Hsu, Chao-Che
    Contributors: 淡江大學運輸管理學系
    Keywords: Strategic alliance;Fuzzy preference programming;Analytic network process (ANP);Airline industry
    Date: 2011-06
    Issue Date: 2011-10-17 22:36:07 (UTC+8)
    Publisher: Amsterdam: Elsevier BV
    Abstract: Strategic airline alliances are an increasingly common strategy for enhancing airline competitiveness and satisfying customer needs, especially in an era characterized by blurring industry boundaries, fast-changing technologies, and global integration. Airlines have been very active in utilizing this form of strategic development. However, the selection of a suitable partner for a strategic alliance is not an easy decision, involving a host of complex considerations by different departments. Furthermore the decision-makers may hold diverse opinions and preferences arising due to incomplete information and knowledge or inherent conflict between various departments. In this study fuzzy preference programming and the analytic network process (ANP) are combined to form a model for the selection of partners for strategic alliances. The effects of uncertainty and disagreement between decision-makers as well as the interdependency and feedback that arise from the use of different criteria and alternatives are also addressed. This generic model can be easily extended to fulfill the specific needs of a variety of companies.
    Relation: Applied Soft Computing 11(4), pp3515-3524
    DOI: 10.1016/j.asoc.2011.01.024
    Appears in Collections:[運輸管理學系暨研究所] 期刊論文

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