IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v10y2023i2p2208716.html
   My bibliography  Save this article

The influence of augmented reality on E-commerce: A case study on fashion and beauty products

Author

Listed:
  • Adelya Gabriel
  • Alina Dhifan Ajriya
  • Cut Zahra Nabila Fahmi
  • Putu Wuri Handayani

Abstract

Advances in technology have encouraged people in Indonesia to shop online. Apart from the convenience people feel when shopping online, there are still disadvantages that prevent them from trying the products they will buy. Therefore, a virtual try-on feature based on augmented reality (AR) could be a solution. This study aims to determine the effect of implementing AR on beauty and fashion products on the intention to continue using AR and shopping in e-commerce. The design of this research model is based on the Stimulus, Organism, Response (SOR) theory used to investigate research factors using AR characteristics. This study used a covariance-based structural equation modeling method. This study involved 549 respondents and demonstrated that interactivity, novelty, hedonic value and satisfaction significantly affect continuance intention. In addition, AR continuance intention also had a significant effect on purchase intention. The results of this research are also expected to be input for e-commerce service providers and AR developers to improve services for users to shop online. This study contributes to extending SOR theory to the context of AR characteristics.

Suggested Citation

  • Adelya Gabriel & Alina Dhifan Ajriya & Cut Zahra Nabila Fahmi & Putu Wuri Handayani, 2023. "The influence of augmented reality on E-commerce: A case study on fashion and beauty products," Cogent Business & Management, Taylor & Francis Journals, vol. 10(2), pages 2208716-220, December.
  • Handle: RePEc:taf:oabmxx:v:10:y:2023:i:2:p:2208716
    DOI: 10.1080/23311975.2023.2208716
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2023.2208716
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2023.2208716?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. Recalde, Daniella & Jai, Tunmin Catherine & Jones, Robert Paul, 2024. "I can find the right product with AR! The mediation effects of shopper engagement on intent to purchase beauty products," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).

    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:10:y:2023:i:2:p:2208716. 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.