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Customer satisfaction measurement: comparing four methods of attribute categorisations

Author

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  • Boris Bartikowski

    (Euromed Marseille - École de management - Association Euromed Management - Marseille)

  • Sylvie Llosa

    (CEROG - Centre d'Etudes et de Recherche sur les Organisations et la Gestion - Université Paul Cézanne - Aix-Marseille 3)

Abstract

The issue of how to weight and categorise service attributes has attracted great attention from academics as well as practitioners. The application of an inappropriate method could lead to misleading interpretations and useless or costly actions. We first review several streams of literature concerning the theoretical background of attribute categorisations in relation to customer satisfaction. We then identify four methods that have been developed to categorise attributes into four classes. In the next step we apply these methods in an empirical study. Criteria for distinguishing the considered approaches conceptually and methodologically are proposed, and implications for future research are discussed.

Suggested Citation

  • Boris Bartikowski & Sylvie Llosa, 2004. "Customer satisfaction measurement: comparing four methods of attribute categorisations," Post-Print hal-01822828, HAL.
    • Handle: RePEc:hal:journl:hal-01822828
    DOI: 10.1080/0264206042000275190
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-01822828
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    1. Scott E. Sampson & MICHAEL J. SHOWALTER, 1999. "The Performance-Importance Response Function: Observations and Implications," The Service Industries Journal, Taylor & Francis Journals, vol. 19(3), pages 1-25, July.
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    Cited by:

    1. Finn, Adam, 2011. "Investigating the non-linear effects of e-service quality dimensions on customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 18(1), pages 27-37.
    2. Xian Ji & Long Shao & Yu Du, 2020. "Collaborating with Local Communities to Identify Improvement Priorities for Historic Urban Landscape Based on Residents’ Satisfaction: An Application of Asymmetric Impact-Performance Analysis in Dando," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    3. W. Sabadie & I. Prim-Allaz & S. Llosa, 2006. "Contribution des elements de gestion des reclamations a la satisfaction: les apports de la theorie de la justice," Post-Print hal-01822842, HAL.
    4. Albayrak, Tahir & Caber, Meltem, 2015. "Prioritisation of the hotel attributes according to their influence on satisfaction: A comparison of two techniques," Tourism Management, Elsevier, vol. 46(C), pages 43-50.
    5. Lai, Ivan Ka Wai & Hitchcock, Michael, 2017. "Sources of satisfaction with luxury hotels for new, repeat, and frequent travelers: A PLS impact-asymmetry analysis," Tourism Management, Elsevier, vol. 60(C), pages 107-129.
    6. Mengqiang Pan & Nao Li & Xiankai Huang, 2022. "Asymmetrical impact of service attribute performance on consumer satisfaction: an asymmetric impact-attention-performance analysis," Information Technology & Tourism, Springer, vol. 24(2), pages 221-243, June.
    7. Henner Gimpel & Dominikus Kleindienst & Niclas Nüske & Daniel Rau & Fabian Schmied, 2018. "The upside of data privacy – delighting customers by implementing data privacy measures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 437-452, November.
    8. Henner Gimpel & Tobias Manner-Romberg & Fabian Schmied & Till J. Winkler, 2021. "Understanding the evaluation of mHealth app features based on a cross-country Kano analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 765-794, December.
    9. Zielke, Stephan, 2008. "Exploring asymmetric effects in the formation of retail price satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 15(5), pages 335-347.
    10. Lionel Nicod & Élodie Mallor & Sylvie Llosa, 2023. "L’influence de l’aide à participer en magasin sur la satisfaction client : une approche par le modèle tétraclasse," Post-Print hal-04311121, HAL.
    11. Chen, Pin-Zheng & Liu, Wan-Yu, 2019. "Assessing management performance of the national forest park using impact range-performance analysis and impact-asymmetry analysis," Forest Policy and Economics, Elsevier, vol. 104(C), pages 121-138.
    12. Christèle Camelis & Sylvie Llosa & Cécile Maunier, 2015. "Gestion de la satisfaction et de l’insatisfaction des touristes : les apports du modèle Tétraclasse," Post-Print hal-01243401, HAL.
    13. Dehui Christina Geng & John L. Innes & Wanli Wu & Weiwei Wang & Guangyu Wang, 2021. "Seasonal Variation in Visitor Satisfaction and Its Management Implications in Banff National Park," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    14. Darko Prebežac & Josip Mikulić, 2008. "Destination image and key drivers of perceived destination attractiveness," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 20(2), pages 163-178.
    15. Junge, Hendrik & Vollmar, Bernhard, 2021. "Autokauf der Zukunft: Eine Darstellung und Analyse des gegenwärtigen und zukünftigen Kaufentscheidungsprozesses von Automobilen unter Berücksichtigung aktueller Trends in der Automobilindustrie," PFH Forschungspapiere/Research Papers 2021/001, PFH Private University of Applied Sciences, Göttingen.

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