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Managing valuable Taiwanese airline passengers using knowledge discovery in database techniques

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  • Wong, Jehn-Yih
  • Chung, Pi-Heng

Abstract

Taiwanese domestic airline passenger loads have declined over the past decade, and the inauguration of the Taiwan high-speed rail service in 2007 has further intensified the competition facing the airlines. Gaining and retaining valuable passengers thus has become essential in maintaining domestic airline profits in the increasingly competitive transportation market. This study develops a knowledge discovery in database process, including the recency, frequency, and monetary model and the C5.0 decision tree. The former is used to assess passenger value, while C5.0 is used to mine demographic, travel behavior, and critical service quality information for valuable passengers. The results identify valuable passenger characteristics that can help Taiwanese airlines maximize their number and retention.

Suggested Citation

  • Wong, Jehn-Yih & Chung, Pi-Heng, 2007. "Managing valuable Taiwanese airline passengers using knowledge discovery in database techniques," Journal of Air Transport Management, Elsevier, vol. 13(6), pages 362-370.
    • Handle: RePEc:eee:jaitra:v:13:y:2007:i:6:p:362-370
    DOI: 10.1016/j.jairtraman.2007.07.001
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    References listed on IDEAS

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    1. Peppard, Joe, 2000. "Customer Relationship Management (CRM) in financial services," European Management Journal, Elsevier, vol. 18(3), pages 312-327, June.
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    Cited by:

    1. Bình Nghiêm-Phú, 2019. "What Determines the Loyalty of Airline Passengers? Findings of a Quantitative Data-Mining Study," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 31(1), pages 23-37.
    2. Bellizzi, Maria Grazia & dell’Olio, Luigi & Eboli, Laura & Mazzulla, Gabriella, 2021. "Detecting passengers' heterogeneity on airlines’ services using SP data," Journal of Air Transport Management, Elsevier, vol. 96(C).
    3. Maria Grazia Bellizzi & Luigi dell’Olio & Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2020. "Passengers’ Expectations on Airlines’ Services: Design of a Stated Preference Survey and Preliminary Outcomes," Sustainability, MDPI, vol. 12(11), pages 1-14, June.
    4. Law, Rob & Rong, Jia & Vu, Huy Quan & Li, Gang & Lee, Hee Andy, 2011. "Identifying changes and trends in Hong Kong outbound tourism," Tourism Management, Elsevier, vol. 32(5), pages 1106-1114.
    5. Chang, Hsin-Li & Yang, Cheng-Hua, 2008. "Explore airlines’ brand niches through measuring passengers’ repurchase motivation—an application of Rasch measurement," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 105-112.
    6. Hernandez, Sara & Monzon, Andres & de Oña, Rocío, 2016. "Urban transport interchanges: A methodology for evaluating perceived quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 31-43.
    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. Tseng, Shu-Mei, 2012. "Correlations between external knowledge and the knowledge chain as impacting service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 19(4), pages 429-437.

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