IDEAS home Printed from https://ideas.repec.org/a/igg/jea000/v13y2021i1p36-55.html
   My bibliography  Save this article

Rural Technology Adoption and Use Model in Rural Africa: A Predictive Approach to Telephony Acceptance

Author

Listed:
  • Ida Sèmévo Tognisse

    (Institute of Mathematics and Physics, University of Abomey-Calavi, Benin)

  • Jules Degila

    (Institute of Mathematics and Physics, University of Abomey-Calavi, Benin)

Abstract

Mobile telephony networks have seen a high rate of adoption worldwide in recent years. However, these networks do not exist everywhere, and even where they are, their adoption is lagging. Especially in uncovered rural areas, it is difficult to predict the technology's acceptance and adoption factors. This study deals with the usage gap of mobile telephone networks and attempts in a methodological approach based on structural equation modeling to prevent the telephone usage gap in rural Africa yet to be covered. To that purpose, the authors use a research model based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT). By combining these two models and incorporating the moderating effects of demographic variables such as age, gender, education, and experience of technology use, this paper has retained a model with the ability to determine how rural residents will accept and use future networks.

Suggested Citation

  • Ida Sèmévo Tognisse & Jules Degila, 2021. "Rural Technology Adoption and Use Model in Rural Africa: A Predictive Approach to Telephony Acceptance," International Journal of E-Adoption (IJEA), IGI Global, vol. 13(1), pages 36-55, January.
  • Handle: RePEc:igg:jea000:v:13:y:2021:i:1:p:36-55
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEA.2021010103
    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:jea000:v:13:y:2021:i:1:p:36-55. 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.