IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v11y2024i1p2432542.html
   My bibliography  Save this article

Revolutionizing decision-making: How retailers can harness the potential of avatars in augmented reality to enrich the customer experience?

Author

Listed:
  • Prasun Gahlot
  • Komal Suryavanshi
  • Aradhana Gandhi

Abstract

The study examines the impact of Augmented Reality (AR) attributes on customer experience and purchase intention in the retail industry. The study employs a theoretical framework rooted in the Technology Acceptance Model and Stimulus-organism-response Theory, investigating the influence of AR attributes on customer experience leading to purchase intentions. Data from 306 participants were collected through an online survey, and hypotheses were evaluated using Structural Equation Modeling. The results show that the Perceived usefulness, Trust, and Self Augmentation within AR applications act as stimuli for Consumer Experience to drive Purchase Intention. The study thus affirms the positive impact of AR characteristics on Customer Experience and Purchase Intentions. The implication signifies that marketers will benefit by leveraging Augmented Reality to create personalized shopping journeys through avatar interactions, thereby improving the customer experience.

Suggested Citation

  • Prasun Gahlot & Komal Suryavanshi & Aradhana Gandhi, 2024. "Revolutionizing decision-making: How retailers can harness the potential of avatars in augmented reality to enrich the customer experience?," Cogent Business & Management, Taylor & Francis Journals, vol. 11(1), pages 2432542-243, December.
  • Handle: RePEc:taf:oabmxx:v:11:y:2024:i:1:p:2432542
    DOI: 10.1080/23311975.2024.2432542
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2024.2432542
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2024.2432542?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.

    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:oabmxx:v:11:y:2024:i:1:p:2432542. 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://cogentoa.tandfonline.com/OABM20 .

    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.