IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-35589-9_5.html
   My bibliography  Save this book chapter

Augmented Reality (AR) in Retailing: Customers’ Experience in Luxury Fashion

In: Digital Transformation for Fashion and Luxury Brands

Author

Listed:
  • Aster Mekonnen

    (University of Westminster)

Abstract

The adoption of augmented reality (AR) represents an extraordinary opportunity to enrich the value of the customer brand relationship, especially in fashion retail. Many firms utilise AR technology to enhance the consumer online shopping experience. In the retail industry, AR is gaining increasing traction as a means of improving the customer experience overall. Considering the varied value luxury fashion consumer holds, the purpose of this chapter is to contribute to existing literature and provide insight into the extent to which AR has proliferated in luxury fashion retail. Although AR has shown that it can enhance the consumer experience, its interactive features are still in the early stages of consumer adoption. Immersive excitement in the shopping experience increases sales and improves consumer engagement. Attracting and engaging the consumer with AR may provide luxury brands with an e-tool to help them lead in the luxury retail sector, which is becoming increasingly competitive. With AR, interactivity, augmentation, immersion, vividness and personalisation have been identified as core characteristics. Hedonic and utilitarian values are also provided through AR, improving the consumer decision-making process. The effect AR can have on luxury fashion can be understood further using the SOR model. Building on this logic, “when an individual encounters a stimulus (S), he/she develops internal states (O), which in turn dictates his/her responses (R)” (Mehrabian & Russell, An approach to environmental psychology. The MIT Press, 1974, p. 298).

Suggested Citation

  • Aster Mekonnen, 2024. "Augmented Reality (AR) in Retailing: Customers’ Experience in Luxury Fashion," Springer Books, in: Wilson Ozuem & Silvia Ranfagni & Michelle Willis (ed.), Digital Transformation for Fashion and Luxury Brands, chapter 5, pages 91-106, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-35589-9_5
    DOI: 10.1007/978-3-031-35589-9_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-031-35589-9_5. 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.springer.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.