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A non-additive model for evaluating airline service quality

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  • Liou, James J.H.
  • Tzeng, Gwo-Hshiung

Abstract

This study develops a non-additive model for evaluating and improving the service quality of airlines and compares its results with the conventional additive method. Service quality is a composite of various attributes and many in a system have inter-dependent characteristics that may not be correctly evaluated using conventional additive measures. A fuzzy integral is thus proposed. Factor analysis is initially used to extract some independent common-factors and fuzzy integral used to integrate the performance ratings of inter-dependent attributes in each common-factor. For the analytic hierarchy process a pair-wise comparative approach is adopted to determine the relative weights linking each independent common-factor. Finally, Grey relation analysis and simple additive weight method are used to find airline service quality. A study of international airlines is conducted for verification. Safety and reliability emerge as the critical factors of service quality.

Suggested Citation

  • Liou, James J.H. & Tzeng, Gwo-Hshiung, 2007. "A non-additive model for evaluating airline service quality," Journal of Air Transport Management, Elsevier, vol. 13(3), pages 131-138.
  • Handle: RePEc:eee:jaitra:v:13:y:2007:i:3:p:131-138
    DOI: 10.1016/j.jairtraman.2006.12.002
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    References listed on IDEAS

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    1. Suzuki, Yoshinori & Tyworth, John E. & Novack, Robert A., 2001. "Airline market share and customer service quality: a reference-dependent model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 773-788, November.
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    5. Chen, Fang-Yuan & Chang, Yu-Hern, 2005. "Examining airline service quality from a process perspective," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 79-87.
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