IDEAS home Printed from https://ideas.repec.org/a/eee/jouret/v89y2013i3p246-262.html
   My bibliography  Save this article

Revisiting the Satisfaction–Loyalty Relationship: Empirical Generalizations and Directions for Future Research

Author

Listed:
  • Kumar, V.
  • Pozza, Ilaria Dalla
  • Ganesh, Jaishankar

Abstract

This extensive literature review highlights the state of the art regarding the relationship between customer satisfaction and loyalty, both attitudinal and behavioral. In particular, it brings to light several issues that should be carefully considered in analyzing the efficacy of customer satisfaction in explaining and predicting customer loyalty. In fact, for many years companies all around the world have heavily invested in customer satisfaction in the hope of increasing loyalty, and hence, consequently, profitability. But after having gone through a detailed analysis, it is clear that this link it is not as strong as it is believed to be and customer satisfaction is not enough to explain loyalty. In fact, the major findings of this review are captured in the form of a few empirical generalizations. We generalize that, while there is a positive relationship between customer satisfaction and loyalty, the variance explained by just satisfaction is rather small. Models that encompass other relevant variables as moderators, mediators, antecedent variables, or all three are better predictors of loyalty than just customer satisfaction. Further, the satisfaction–loyalty relationship has the potential to change over time. Similar weaker findings are uncovered and the study offers specific guidelines on who, when, and how much to satisfy. Finally, suggestions for future research to explore this domain are offered.

Suggested Citation

  • Kumar, V. & Pozza, Ilaria Dalla & Ganesh, Jaishankar, 2013. "Revisiting the Satisfaction–Loyalty Relationship: Empirical Generalizations and Directions for Future Research," Journal of Retailing, Elsevier, vol. 89(3), pages 246-262.
  • Handle: RePEc:eee:jouret:v:89:y:2013:i:3:p:246-262
    DOI: 10.1016/j.jretai.2013.02.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0022435913000201
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ittner, CD & Larcker, DF, 1998. "Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 1-35.
    2. Beatty, Sharon E. & Homer, Pamela & Kahle, Lynn R., 1988. "The involvement--commitment model: Theory and implications," Journal of Business Research, Elsevier, vol. 16(2), pages 149-167, March.
    3. Vesel, Patrick & Zabkar, Vesna, 2009. "Managing customer loyalty through the mediating role of satisfaction in the DIY retail loyalty program," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 396-406.
    4. Frank M. Bass & Jerry Wind, 1995. "Introduction to the Special Issue: Empirical Generalizations in Marketing," Marketing Science, INFORMS, vol. 14(3_supplem), pages 1-5.
    5. Mittal, Banwari & Lee, Myung-Soo, 1989. "A causal model of consumer involvement," Journal of Economic Psychology, Elsevier, vol. 10(3), pages 363-389, November.
    6. Mark Uncles & Andrew Ehrenberg & Kathy Hammond, 1995. "Patterns of Buyer Behavior: Regularities, Models, and Extensions," Marketing Science, INFORMS, vol. 14(3_supplem), pages 71-78.
    7. Sunil Gupta & Valarie Zeithaml, 2006. "Customer Metrics and Their Impact on Financial Performance," Marketing Science, INFORMS, vol. 25(6), pages 718-739, 11-12.
    8. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    9. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    10. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Oxford University Press, vol. 12(3), pages 341-352, December.
    11. Richins, Marsha L & Bloch, Peter H, 1986. "After the New Wears Off: The Temporal Context of Product Involvement," Journal of Consumer Research, Oxford University Press, vol. 13(2), pages 280-285, September.
    Full references (including those not matched with items on IDEAS)

    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:eee:jouret:v:89:y:2013:i:3:p:246-262. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Haili He). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.