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Using Diffusion of Innovations Framework to Explain Communal Computing Facilities Adoption Among the Urban Poor

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  • Wallace Chigona

    (Senior Lecturer, Department of Information Systems, University of Cape Town, Rondebosch, South Africa.)

  • Paul Licker

    (Professor of Information Systems, School of Business Administration, Oakland University, Rochester, Michigan, USA, (248) 375-8083.)

Abstract

In general, studies of the adoption of communal computing facilities (CCFs) such as telecenters tend to be atheoretical. In this article, we use Rogers' diffusion of innovations (DoI) theory as a framework. As the number and variety of CCFs has increased, so has the number of research studies on CCFs. However, most of the studies are presented in isolation without using any theoretical framework. The use of frameworks would help to bring structure and rigor to the research in this field. This study analyses data from our existing articles on CCFs to see how well DoI would explain the adoption of CCFs operating among the urban poor in Cape Town, South Africa. The article considers all the five perceived attributes of innovation, channels of communication, social system in which the innovation is diffusing, and consequences of innovation. The article notes that DoI explains most of the adoption pattern of CCFs: All the five attributes of innovations influence adoption according to DoI. As a consequence, the article notes that the introduction of CCFs has consequences not only for the community but also for the institution hosting the CCF. (c) 2008 by The Massachusetts Institute of Technology.

Suggested Citation

  • Wallace Chigona & Paul Licker, 2008. "Using Diffusion of Innovations Framework to Explain Communal Computing Facilities Adoption Among the Urban Poor," Information Technologies and International Development, MIT Press, vol. 4(3), pages 57-73, April/Jul.
    • Handle: RePEc:tpr:itintd:v:4:y:2008:i:3:p:57-73
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    Cited by:

    1. Habib Ntwoku & Solomon Negash & Peter Meso, 2017. "ICT adoption in Cameroon SME: application of Bass diffusion model," Information Technology for Development, Taylor & Francis Journals, vol. 23(2), pages 296-317, April.

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