IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v34y2021i1p19-42.html
   My bibliography  Save this article

Trust and Continuance of Mobile Payment Use Intention: A Study Based on Structural Equation Modeling

Author

Listed:
  • Patrick Acheampong

    (Ghana Technology University College, Ghana)

  • Kofi Baah Boamah

    (University of Professional Studies, Ghana)

  • Nana Agyeman-Prempeh

    (Ghana Technology University College, Ghana)

  • Frank Boateng

    (Ghana Technology University College, Ghana)

  • Isaac Asare Bediako

    (Koforidua Technical University, Ghana)

  • Ruhiya Abubakar

    (Ghana Technology University College, Ghana)

Abstract

The interactive nature of the internet has created many opportunities for mobile payment usage. In certain age groups and geographies, mobile payments have already unseated traditional means of effecting payment. In this study, 1,351 mobile payment users in Ghana were sampled using a structured questionnaire to investigate their intention to continue to use mobile payments technologies. The results showed that vendor reputation, word-of-mouth, and structural assurance significantly contribute to imbuing trust in mobile payment technology customers. When high levels of trust become identified with a brand, high numbers of customers choose to continue to use their current choice of mobile payment technology.

Suggested Citation

  • Patrick Acheampong & Kofi Baah Boamah & Nana Agyeman-Prempeh & Frank Boateng & Isaac Asare Bediako & Ruhiya Abubakar, 2021. "Trust and Continuance of Mobile Payment Use Intention: A Study Based on Structural Equation Modeling," Information Resources Management Journal (IRMJ), IGI Global, vol. 34(1), pages 19-42, January.
    • Handle: RePEc:igg:rmj000:v:34:y:2021:i:1:p:19-42
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.2021010102
    Download Restriction: no
    ---><---

    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:igg:rmj000:v:34:y:2021:i:1:p:19-42. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.