IDEAS home Printed from https://ideas.repec.org/h/eme/csefzz/s1569-37592023000110b014.html
   My bibliography  Save this book chapter

Digitisation and Artificial Intelligence in Retailing Sector – Key Drivers

In: Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy

Author

Listed:
  • Suvarna Hiremath
  • C. Prashantha
  • Ansumalini Panda
  • Gurubasavarya Hiremath

Abstract

Introduction:Artificial intelligence (AI) and digitisation offer substantial human potential and profit margins, making them promising retail solutions. Retail leaders have successfully integrated comprehensive uses into their daily operations, while competitors heavily invest in new projects. The Indian retail sector is undergoing a significant transformation, which can be attributed to factors such as growing income, demographic characteristics, and enhanced consumerism, as well as the rapid development of new technologies such as digitisation and AI, which is changing both consumers’ and retailers’ buying behaviour. Purpose:This study aims to determine the influence of AI on elements that drive digitisation in the retailing sector, as well as the factors that lead to organised retailers adopting digitisation and its impact on their business. Methodology:The study employs a standardised questionnaire distributed to organised stores via an online link, and the data are analysed with SmartPLS software 3.0. Finding:The retail sector is driven by elements that promote digitalisation in food and groceries retailing, such as simplicity of operation, adoption of digital payment, quicker internet connection, retailer consumer interface, and the involvement of AI. Research implication:AI has significant consequences for retailing, which serves as the interface between marketers and customers. Theoretical implication:The study’s findings reflect the perspectives of retailers, store managers, and entrepreneurs on how digitalisation and AI are crucial for the creation and growth of long-term competitive advantages in retail.

Suggested Citation

  • Suvarna Hiremath & C. Prashantha & Ansumalini Panda & Gurubasavarya Hiremath, 2023. "Digitisation and Artificial Intelligence in Retailing Sector – Key Drivers," Contemporary Studies in Economic and Financial Analysis, in: Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy, volume 110, pages 215-232, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:csefzz:s1569-37592023000110b014
    DOI: 10.1108/S1569-37592023000110B014
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1569-37592023000110B014/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1569-37592023000110B014/full/epub?utm_source=repec&utm_medium=feed&utm_campaign=repec&title=10.1108/S1569-37592023000110B014
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S1569-37592023000110B014/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/S1569-37592023000110B014?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.

    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:eme:csefzz:s1569-37592023000110b014. 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: Emerald Support (email available below). General contact details of provider: .

    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.