IDEAS home Printed from https://ideas.repec.org/a/taf/rgfmxx/v16y2025i3p386-403.html
   My bibliography  Save this article

Driving customer brand engagement through augmented reality-induced influencer content among Gen Z: The moderating role of credibility

Author

Listed:
  • Mudita Sinha
  • Mallika Srivastava

Abstract

The present study investigates the impact of Augmented reality-induced influencer content moderated by the influencer’s credibility, steering to word of mouth trailed by purchase intentions of Gen Z in the fashion industry. This study employs a conceptual model grounded on the theory of social power and the S-O-R model with the moderating role of credibility. Data was gathered from 423 samples. To test the dimensionality of Augmented reality-induced influencer content, exploratory factor analysis with principal component analysis and Varimax orthogonal rotation was adopted. SPSS version 22.0 and AMOS version 20 were used for data analysis. The study’s findings indicate that following influencers generates favorable brand effects, such as increased social power and higher purchase intentions, by fostering familiarity and internalizing behavioral intents. Credibility is vital in influencing views and promoting electronic word-of-mouth through interactions between audiences and influencers. Brands have significant chances to engage Generation Z with genuine content by utilizing influencer marketing facilitated by augmented reality. Therefore, the study concludes that Augmented reality-induced influencer content encourages consumers to engage actively and positively drives them toward brand outcomes.

Suggested Citation

  • Mudita Sinha & Mallika Srivastava, 2025. "Driving customer brand engagement through augmented reality-induced influencer content among Gen Z: The moderating role of credibility," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 16(3), pages 386-403, July.
  • Handle: RePEc:taf:rgfmxx:v:16:y:2025:i:3:p:386-403
    DOI: 10.1080/20932685.2024.2441768
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/20932685.2024.2441768
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/20932685.2024.2441768?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

    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:rgfmxx:v:16:y:2025:i:3:p:386-403. 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/rgfm .

    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.