IDEAS home Printed from https://ideas.repec.org/a/taf/intgms/v23y2023i1p118-138.html
   My bibliography  Save this article

The customer-brand relationship in the gambling industry: positive play predicts attitudinal and behavioral loyalty

Author

Listed:
  • Samantha J. Hollingshead
  • Christopher G. Davis
  • Michael J. A. Wohl

Abstract

This research draws on the model of positive play (i.e. responsible gambling) to investigate whether positive play beliefs (e.g. accurate understanding about the odds of success on games of chance) and behavior (e.g. setting a limit on gambling expenditures) are associated with attitudinal loyalty and behavioral loyalty. Results from Study 1 indicated that among American casino loyalty program members (N = 188), positive play was predictive of attitudinal loyalty when controlling for disordered gambling symptomatology. In Study 2, using survey and player-account data from 383 members of a Canadian casino loyalty program, we found that positive play was negatively associated with behavioral loyalty, but that this association was eliminated after accounting for disordered gambling symptomatology. These results suggest that fostering positive play may help increase positive perceptions of a casino and its loyalty program without undermining the amount of money a player spends at that casino.

Suggested Citation

  • Samantha J. Hollingshead & Christopher G. Davis & Michael J. A. Wohl, 2023. "The customer-brand relationship in the gambling industry: positive play predicts attitudinal and behavioral loyalty," International Gambling Studies, Taylor & Francis Journals, vol. 23(1), pages 118-138, January.
  • Handle: RePEc:taf:intgms:v:23:y:2023:i:1:p:118-138
    DOI: 10.1080/14459795.2022.2086992
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14459795.2022.2086992
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14459795.2022.2086992?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huaijin Liang & Jin Ma & Wei Wang & Xiaodong Yan, 2024. "Demystifying the Two-Armed Futurity Bandit’s Unfairness and Apparent Fairness," Mathematics, MDPI, vol. 12(11), pages 1-14, May.

    More about this item

    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:taf:intgms:v:23:y:2023:i:1:p:118-138. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RIGS20 .

    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.