Unifying the fragmented models of information systems implementation
Critical issues in information systems research
Information technology diffusion: a review of empirical research
ICIS '92 Proceedings of the thirteenth international conference on Information systems
Cyberspace across the Sahara: computing in North Africa
Communications of the ACM
Utilising information and communication technologies for development: the social dimensions
Information Technology for Development
A research manifesto for global information management
Journal of Global Information Management
Extending the technology acceptance model: the influence of perceived user resources
ACM SIGMIS Database - Special issue on adoption, diffusion, and infusion of IT
Cyberspace across sub-Saharan Africa
Communications of the ACM
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
The impact of national culture and other national-level indicators on information technology (it) diffusion
Cyber elites: a survey of internet Café users in Uganda
Telematics and Informatics - Special issue: Telecommunications development in Africa
Trust and TAM in online shopping: an integrated model
MIS Quarterly
ICTs and Internet adoption in China's tourism industry
International Journal of Information Management: The Journal for Information Professionals
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In the present study we examine those factors that affect the diffusion of Information and Communications Technology (ICT) in Africa and the Organisation for Economic Cooperation and Development (OECD) over a period of over 21 years. A dynamic comparison highlights the major differences in ICT diffusion between developing and developed nations. A large set of data from the World Bank was used; a pooled regression analysis shows that economic development, education/training, and infrastructures play a significant role in ICT diffusion. It was further observed that the effects of some factors could be similar whereas effects for some other factors could be different for developed and developing nations. The results further indicated that mobile phone and mainline telephone diffusions are substitutive in OECD nations but complementary in African nations.