IDEAS home Printed from https://ideas.repec.org/a/pal/jobman/v32y2025i4d10.1057_s41262-025-00383-2.html
   My bibliography  Save this article

How AI service quality influence brand loyalty: moderating effects of innovativeness, brand ethicality, and privacy concern

Author

Listed:
  • Mengxi Yang

    (Hebei Finance University)

  • Mengyang Wang

    (Huazhong University of Science and Technology
    Research Center for High Quality Development of Manufacturing Industry)

Abstract

Artificial intelligence (AI) has significantly transformed service deliveries. However, prior research has not sufficiently investigated the role of AI service quality in brand building, and research findings on the influence of AI-enabled services on marketing remain inconsistent. This paper investigates the impact of AI service quality on brand loyalty, considering the contingent effects of brand innovativeness, brand ethicality, consumer innovativeness, and privacy concerns. With a sample of 382 Chinese online retail customers, the study finds that AI service quality positively affects brand loyalty. Moreover, brand innovativeness, brand ethicality, and consumer innovativeness strengthen this positive effect, while privacy concern weakens it. The research highlights the impacts of brand attributes and customer characteristics on brand loyalty. Consequently, these findings contribute a novel perspective on brand building in the virtual realm and extend previous branding research. This provides valuable insights for brands to capture the value of AI services within the digital landscape.

Suggested Citation

  • Mengxi Yang & Mengyang Wang, 2025. "How AI service quality influence brand loyalty: moderating effects of innovativeness, brand ethicality, and privacy concern," Journal of Brand Management, Palgrave Macmillan, vol. 32(4), pages 282-297, July.
  • Handle: RePEc:pal:jobman:v:32:y:2025:i:4:d:10.1057_s41262-025-00383-2
    DOI: 10.1057/s41262-025-00383-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41262-025-00383-2
    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/s41262-025-00383-2?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:pal:jobman:v:32:y:2025:i:4:d:10.1057_s41262-025-00383-2. 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.