IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05129492.html

Impact of service failures on brand loyalty: a study of overbooking in the airline industry
[Impact des défaillances de service sur la fidélité à la marque : étude sur la surréservation dans le secteur aérien]

Author

Listed:
  • Abdenour-Karim Khelifi

    (Esthua Faculté de Tourisme, Culture et Hospitalité)

Abstract

This conceptual study aims to investigate the impact of denied boarding (a direct consequence of overbooking policies) in air transport on airline customer loyalty. Drawing on the work of Bejou and Palmer (1998), Wangenheim and Bayon (2007) and Dalalah, Ojiako & Chipulu's (2020), the author develops a conceptual model for measuring the impact of sdenied boarding on airline loyalty, based on two distinct behavioural responses. Specifically, the research problem investigated is to understand the extent to which denied boarding impacts customer loyalty to the airline, according to the two scenarios of voluntary denied boarding (1) and involuntary denied boarding (2). The overall aim of this study is to provide academic researchers and practitioners with a better understanding of the determinants of loyalty in the airline industry, and to help airlines better manage reputational damage and improve brand loyalty.

Suggested Citation

  • Abdenour-Karim Khelifi, 2024. "Impact of service failures on brand loyalty: a study of overbooking in the airline industry [Impact des défaillances de service sur la fidélité à la marque : étude sur la surréservation dans le secteur aérien]," Post-Print hal-05129492, HAL.
  • Handle: RePEc:hal:journl:hal-05129492
    Note: View the original document on HAL open archive server: https://hal.science/hal-05129492v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05129492v1/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. A. Yeşim Orhun & Tong Guo & Andreas Hagemann, 2022. "Reaching for Gold: Frequent-Flyer Status Incentives and Moral Hazard," Marketing Science, INFORMS, vol. 41(3), pages 548-574, May.
    2. Erkmen, Ezgi & Hancer, Murat, 2015. "Linking brand commitment and brand citizenship behaviors of airline employees: “The role of trustâ€," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 47-54.
    3. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chandra Mahapatra, Subas & Bellamkonda, Raja Shekhar, 2023. "Higher expectations of passengers do really sense: Development and validation a multiple scale-FliQual for air transport service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    2. Chen, Lu & Li, Yong-Quan & Liu, Chih-Hsing, 2019. "How airline service quality determines the quantity of repurchase intention - Mediate and moderate effects of brand quality and perceived value," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 185-197.
    3. Vatankhah, Sanaz & Darvishi, Maryam, 2018. "An empirical investigation of antecedent and consequences of internal brand equity: Evidence from the airline industry," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 49-58.
    4. Sharan Srinivas & Surya Ramachandiran, 2024. "Passenger intelligence as a competitive opportunity: unsupervised text analytics for discovering airline-specific insights from online reviews," Annals of Operations Research, Springer, vol. 333(2), pages 1045-1075, February.
    5. Das, Deepjyoti & Sharma, Somesh Kumar & Parti, Raman & Singh, Jagroop, 2016. "Analyzing the effect of aviation infrastructure over aviation fuel consumption reduction," Journal of Air Transport Management, Elsevier, vol. 57(C), pages 89-100.
    6. Manju Bhardwaj & Priya Mishra & Shikha Badhani & Sunil K. Muttoo, 2024. "Sentiment analysis and topic modeling of COVID-19 tweets of India," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(5), pages 1756-1776, May.
    7. Sara Moghaddam Tabar & Naser Karami & Faraz Ilbeigi, 2018. "Measuring Internal Brand Equity In B2b Service Industries In Iran," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 23(1), pages 3-24.
    8. Gül Yazıcı & Tuğçe Ozansoy Çadırcı, 2024. "Creating meaningful insights from customer reviews: a methodological comparison of topic modeling algorithms and their use in marketing research," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 865-887, December.
    9. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Abosaq, Hamad & Alghamdi, Abdullah & Akib, Noor Adelyna Mohammed, 2022. "Factors impacting customer purchase intention of smart home security systems: Social data analysis using machine learning techniques," Technology in Society, Elsevier, vol. 71(C).
    10. Pantelaki, Evangelia & Papatheodorou, Andreas, 2022. "Behind the scenes of glamour: A systematic literature review of the business aviation sector," Journal of Air Transport Management, Elsevier, vol. 105(C).
    11. Kumar, Avinash & Chakraborty, Shibashish & Bala, Pradip Kumar, 2023. "Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    12. Murugesan, R. & A P, Rekha & N, Nitish & Balanathan, Raghavan, 2024. "Forecasting airline passengers’ satisfaction based on sentiments and ratings: An application of VADER and machine learning techniques," Journal of Air Transport Management, Elsevier, vol. 120(C).
    13. Babak Naysary & Mehdi Malekzadeh & Ruth Tacneng & Amine Tarazi, 2022. "Big data analytics application in multi-criteria decision making: the case of eWallet adoption," Working Papers hal-03632834, HAL.
    14. Zha, Wenbin & Ye, Qian & Li, Jian & Ozbay, Kaan, 2023. "A social media Data-Driven analysis for transport policy response to the COVID-19 pandemic outbreak in Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    15. Kim, Jaehong & Li, Mengling & Xu, Menghan, 2025. "Priority search with outside options," Theoretical Economics, Econometric Society, vol. 20(3), July.
    16. Park, Jeongeun & Yang, Donguk & Kim, Ha Young, 2023. "Text mining-based four-step framework for smart speaker product improvement and sales planning," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    17. Dirsehan, Taşkın & Kurtuluş, Sema, 2018. "Measuring brand image using a cognitive approach: Representing brands as a network in the Turkish airline industry," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 85-93.
    18. Schmalz, Ulrike & Ringbeck, Jürgen & Spinler, Stefan, 2021. "Door-to-door air travel: Exploring trends in corporate reports using text classification models," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    19. Pereira, Francisco & Costa, Joana Martinho & Ramos, Ricardo & Raimundo, António, 2023. "The impact of the COVID-19 pandemic on airlines’ passenger satisfaction," Journal of Air Transport Management, Elsevier, vol. 112(C).
    20. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Alghamdi, Abdullah, 2023. "Analysis of customers' satisfaction with baby products: The moderating role of brand image," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-05129492. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.