IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v42y2023i7p1005-1023.html
   My bibliography  Save this article

Technology readiness, mobile payments and gender- a reflective-formative second order approach

Author

Listed:
  • Juan Fernando Tavera-Mesías
  • Aaron van Klyton
  • Alexander Zuñiga Collazos

Abstract

This study examines the formation of technology readiness among lower-income urban consumers and its influence on the acceptance of mpayment apps for digital money. Using Partial Least Squares-Structural Equation Modeling (PLS-SEM), we analysed 625 survey responses collected in four Colombian cities. We found that perceived usefulness is the main direct antecedent of intention to use, but gender differences were observed. For women, two hypotheses were not significant: TR's influence over perceived ease of use and perceived ease of use over the intention to use, leaving a more straightforward but narrow pathway for influencing intention to use. Men presented a more comprehensive range of pathways, with all hypotheses significant. This is an important finding because women from lower-income households are the main target of government financial inclusion strategies. Innovatively, we evaluated the technology readiness construct in an aggregated way, isolating the importance of each dimension. We found optimism to be more relevant, which indicates that the users are less insecure about technology, akin to the Rogerian concept of innovators. Therefore, managers should develop market penetration strategies based on optimism rather than security conditions and develop app attributes that are link to perceived ease of use before focusing on usefulness.

Suggested Citation

  • Juan Fernando Tavera-Mesías & Aaron van Klyton & Alexander Zuñiga Collazos, 2023. "Technology readiness, mobile payments and gender- a reflective-formative second order approach," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(7), pages 1005-1023, May.
  • Handle: RePEc:taf:tbitxx:v:42:y:2023:i:7:p:1005-1023
    DOI: 10.1080/0144929X.2022.2054729
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2022.2054729
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2022.2054729?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:tbitxx:v:42:y:2023:i:7:p:1005-1023. 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://www.tandfonline.com/tbit .

    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.