IDEAS home Printed from https://ideas.repec.org/a/pal/jobman/v29y2022i1d10.1057_s41262-021-00252-8.html
   My bibliography  Save this article

Building brand loyalty on social media: theories, measurements, antecedents, and consequences

Author

Listed:
  • Tunmin Catherine Jai

    (Texas Tech University)

  • Xiao Tong

    (The University of Alabama)

  • Hsiangting Shatina Chen

    (The University of Alabama)

Abstract

As social media has developed in the past two decades, researchers have been investigating how to build brand loyalty on social media platforms. However, there is a lack of comprehensive review on the findings of studies in this area. The purpose of this study is to identify research gaps and inform future research directions by conducting a field examination on the scholarship of building brand loyalty on social media. The study reviewed a total of 86 papers on building brand loyalty using social media published between 2009 and 2020. The results revealed five clusters of theories applied in this stream of scholarship, namely consumer self-identity and consumption style theories, brand community-related theories, decision-making theories, theories focused on communication medium, and relationship-based theories. Moreover, we identified eight major antecedents and five consequences of brand loyalty in the context of social media communities. Applying Oliver’s (1999) four-phase loyalty framework, we consolidate eleven categories of brand loyalty measurements and propose a framework of loyalty dimensions and its antecedents and consequences. Researchers who intend to conduct a brand loyalty study may find the examples of the measurement items summarized in this study useful for their research.

Suggested Citation

  • Tunmin Catherine Jai & Xiao Tong & Hsiangting Shatina Chen, 2022. "Building brand loyalty on social media: theories, measurements, antecedents, and consequences," Journal of Brand Management, Palgrave Macmillan, vol. 29(1), pages 35-57, January.
  • Handle: RePEc:pal:jobman:v:29:y:2022:i:1:d:10.1057_s41262-021-00252-8
    DOI: 10.1057/s41262-021-00252-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41262-021-00252-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41262-021-00252-8?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.

    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:pal:jobman:v:29:y:2022:i:1:d:10.1057_s41262-021-00252-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.