IDEAS home Printed from https://ideas.repec.org/a/igg/jtd000/v12y2021i1p1-27.html
   My bibliography  Save this article

Dual-Factor Approach to Consumer Acceptance of Mobile Banking

Author

Listed:
  • Donald Amoroso

    (Auburn University, Montgomery, USA)

  • Osam Sato

    (Tokyo Keizai University, Japan)

  • Pajaree Ackaradejruangsri

    (Ritsumeikan Asia Pacific University, Japan)

Abstract

This study builds on relationship marketing literature and extends existing continuance intention theories by applying dual-factor model to understand the complex behaviors of Japanese consumers and continuance intention of using mobile financial applications, such as mobile banking and/or mobile wallet. The research model, originally developed by Amoroso and Chen, has been adopted and data collected with a sample of 513 Japanese mobile banking app consumers. A predictive structural equation model was derived from the covariance matrix and was produced to analyze the path coefficients. The results show a general support for continuance intention to use mobile banking technologies among Japanese consumers. The results show Japanese consumer satisfaction is found to be a strong predictor of loyalty and continuance intention, directly affected by perceived value, perceived enjoyment, and inertia/habit. While loyalty is found to be a key construct to directly affect continuance intention, a very strong predictor of continuance intention among Japanese mobile banking apps users.

Suggested Citation

  • Donald Amoroso & Osam Sato & Pajaree Ackaradejruangsri, 2021. "Dual-Factor Approach to Consumer Acceptance of Mobile Banking," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 12(1), pages 1-27, January.
    • Handle: RePEc:igg:jtd000:v:12:y:2021:i:1:p:1-27
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTD.2021010101
    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:jtd000:v:12:y:2021:i:1:p:1-27. 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.