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Using a modified grey relation method for improving airline service quality

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  • Liou, James J.H.
  • Hsu, Chao-Che
  • Yeh, Wen-Chien
  • Lin, Rong-Ho

Abstract

This study applies a modified grey relation method to improve service quality among domestic airlines in Taiwan. First, we replace the referential alternative (sequence) with an aspired alternative, which should better reflect the reality of today’s competitive markets. Second, because the compared alternatives do not usually have the same criteria/aspects, traditional methods are unsuitable to deal with them. Our model fixes this problem, allowing decision-makers to understand the gaps between alternatives and aspired levels in practice. Third, we develop a new ranking index to measure the airlines’ competitiveness in terms of service quality. To validate the effectiveness of our model, we conduct a large sample survey. We also provide managerial improvements needed by each carrier to achieve the aspired level of customer satisfaction.

Suggested Citation

  • Liou, James J.H. & Hsu, Chao-Che & Yeh, Wen-Chien & Lin, Rong-Ho, 2011. "Using a modified grey relation method for improving airline service quality," Tourism Management, Elsevier, vol. 32(6), pages 1381-1388.
    • Handle: RePEc:eee:touman:v:32:y:2011:i:6:p:1381-1388
    DOI: 10.1016/j.tourman.2011.01.013
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    References listed on IDEAS

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    Cited by:

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    2. Jiang, Hongwei & Zhang, Yahua, 2016. "An investigation of service quality, customer satisfaction and loyalty in China's airline market," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 80-88.
    3. Atalay, Kumru Didem & Atalay, Buket & Isin, Feride Bahar, 2019. "FIPIA with information entropy: A new hybrid method to assess airline service quality," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 67-77.
    4. Tahanisaz, Sahar & shokuhyar, Sajjad, 2020. "Evaluation of passenger satisfaction with service quality: A consecutive method applied to the airline industry," Journal of Air Transport Management, Elsevier, vol. 83(C).
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    6. Lucini, Filipe R. & Tonetto, Leandro M. & Fogliatto, Flavio S. & Anzanello, Michel J., 2020. "Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews," Journal of Air Transport Management, Elsevier, vol. 83(C).
    7. Bellizzi, Maria Grazia & Eboli, Laura & Mazzulla, Gabriella & Postorino, Maria Nadia, 2022. "Classification trees for analysing highly educated people satisfaction with airlines’ services," Transport Policy, Elsevier, vol. 116(C), pages 199-211.
    8. Lu, Lin & Xu, Pei & Wang, Yen-Yao & Wang, Yu, 2023. "Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms," Journal of Business Research, Elsevier, vol. 169(C).
    9. Kurtulmuşoğlu, Feride Bahar & Can, Gülin Feryal & Tolon, Metehan, 2016. "A voice in the skies: Listening to airline passenger preferences," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 130-137.
    10. Perçin, Selçuk, 2018. "Evaluating airline service quality using a combined fuzzy decision-making approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 48-60.
    11. Deveci, Muhammet & Özcan, Ender & John, Robert & Öner, Sultan Ceren, 2018. "Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 83-98.
    12. Tsafarakis, Stelios & Kokotas, Theodosios & Pantouvakis, Angelos, 2018. "A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 61-75.
    13. Lin, Ling-Zhong & Yeh, Huery-Ren & Wang, Ming-Chao, 2015. "Integration of Kano’s model into FQFD for Taiwanese Ban-Doh banquet culture," Tourism Management, Elsevier, vol. 46(C), pages 245-262.

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