IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v21y2024i01ns0219877024500019.html
   My bibliography  Save this article

Mobile Ordering App Adoption in Restaurant Industry during Pandemic: An Empirical Study

Author

Listed:
  • C. Ganeshkumar

    (Indian Institute of Plantation Management, Bangalore, 560056, India)

  • M. Meenakshi Sundaresan

    (Indian Institute of Plantation Management, Bangalore, 560056, India)

Abstract

The research paper addresses the adoption of the mobile application for ordering from the restaurant by the user with their value during the pandemic period. The model used here is the UTAUT (Unified Theory of Acceptance and Use of Technology) model, the research model has six determinants to address intention to use — performance expectancy, perceived risk, price saving, social influence, effort expectancy, and facilitating condition. The data was collected among college students from South India, who are regular in using the mobile application for the ordering. The sample size of 120 respondents was collected and analysed using SEM (Structured Equation Modeling). The SEM results give that the drivers of intention to use the mobile application are social influence and price saving that are significantly related, perceived risk is significant with the social influence, social influence significantly impacts price saving and performance expectancy impacts price saving construct.

Suggested Citation

  • C. Ganeshkumar & M. Meenakshi Sundaresan, 2024. "Mobile Ordering App Adoption in Restaurant Industry during Pandemic: An Empirical Study," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-23, February.
  • Handle: RePEc:wsi:ijitmx:v:21:y:2024:i:01:n:s0219877024500019
    DOI: 10.1142/S0219877024500019
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877024500019
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219877024500019?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:wsi:ijitmx:v:21:y:2024:i:01:n:s0219877024500019. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    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.