Diffusion in computing networks: the case of BITNET
Communications of the ACM
System enquiry: a system dynamics approach
System enquiry: a system dynamics approach
How to anticipate the Internet's global diffusion
Communications of the ACM
The Internet in developing countries
Communications of the ACM
Building India's national Internet backbone
Communications of the ACM
Communications of the ACM
Should We Wait? Network Externalities, Compatibility, and Electronic Billing Adoption
Journal of Management Information Systems
Offshore Outsourcing: A Dynamic Causal Model of Counteracting Forces
Journal of Management Information Systems
Evaluating the Adoption of Enterprise Application Integration in Health-Care Organizations
Journal of Management Information Systems
International Journal of Electronic Commerce
Factors of broadband development and the design of a strategic policy framework
Telecommunications Policy
Implementing Service-Oriented Architecture in Organizations
Journal of Management Information Systems
The Impact of SOA Implementation on IT-Business Alignment: A System Dynamics Approach
ACM Transactions on Management Information Systems (TMIS)
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The uneven diffusion of the Internet across countries reinforces social and economic inequalities. Correlation studies associate its uneven diffusion with such factors as competition, telephone infrastructure, literacy, economic development, access charges, and network reliability, but they do not reveal the mechanics of Internet diffusion because it is the interplay of different factors, not any factor in isolation, that generates diffusion behavior. This paper uses the system dynamics (SD) methodology to develop a causal model of Internet diffusion in a developing country. The SD methodology was selected because its basic construct, the feedback loop, is well suited to represent the mechanics driving dynamic processes. The proposed causal model is validated using Internet subscriber data from India. The technique of dominant loop analysis identifies the feedback loops that have the most influence on diffusion behavior. The model can be used to evaluate diffusion patterns resulting from different policy alternatives intended to foster Internet diffusion in developing countries.