IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v11y2024i1p2308086.html
   My bibliography  Save this article

Determining the drivers of continued mobile food delivery app (MFDA) usage during a pandemic period

Author

Listed:
  • Monique Munday
  • Michael Humbani

Abstract

The study aimed to determine the main factors that predicted users’ intention to continue using mobile food delivery apps during the COVID-19 pandemic. The moderating role of user experience was also explored. Data were obtained from 411 users of mobile food delivery apps in South Africa, using the purposive sampling technique. The lens of the integrated modified unified theory of acceptance and use of technology (UTAUT2) and the task technology fit (TTF) were used for this research. The results indicate that users’ continuance intentions are influenced by performance expectancy and habit, and that hedonic motivation and TTF are insignificant predictors. Performance expectancy mediates between TTF and continuance intention, and user experience moderates the relationship between predictors (TTF, hedonic motivation, habit) and continuance intention. Restaurant owners can use the findings of this study to design winning strategies that mix both technology features and mental perceptions to build a stronger client base during crises and future business possibilities.

Suggested Citation

  • Monique Munday & Michael Humbani, 2024. "Determining the drivers of continued mobile food delivery app (MFDA) usage during a pandemic period," Cogent Business & Management, Taylor & Francis Journals, vol. 11(1), pages 2308086-230, December.
    • Handle: RePEc:taf:oabmxx:v:11:y:2024:i:1:p:2308086
    DOI: 10.1080/23311975.2024.2308086
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2024.2308086
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23311975.2024.2308086?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:2308086. 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.