Welcome to the InfoSci Platform
Reference Hub3
Rural Technology Adoption and Use Model in Rural Africa: A Predictive Approach to Telephony Acceptance

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

Ida Sèmévo Tognisse, Jules Degila
Copyright: © 2021 |Volume: 13 |Issue: 1 |Pages: 20
ISSN: 1937-9633|EISSN: 1937-9641|EISBN13: 9781799860204|DOI: 10.4018/IJEA.2021010103
Cite Article Cite Article

MLA

Tognisse, Ida Sèmévo, and Jules Degila. "Rural Technology Adoption and Use Model in Rural Africa: A Predictive Approach to Telephony Acceptance." IJEA vol.13, no.1 2021: pp.36-55. http://doi.org/10.4018/IJEA.2021010103

APA

Tognisse, I. S. & Degila, J. (2021). Rural Technology Adoption and Use Model in Rural Africa: A Predictive Approach to Telephony Acceptance. International Journal of E-Adoption (IJEA), 13(1), 36-55. http://doi.org/10.4018/IJEA.2021010103

Chicago

Tognisse, Ida Sèmévo, and Jules Degila. "Rural Technology Adoption and Use Model in Rural Africa: A Predictive Approach to Telephony Acceptance," International Journal of E-Adoption (IJEA) 13, no.1: 36-55. http://doi.org/10.4018/IJEA.2021010103

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.