The Mechanics of Internet Growth: A Developing-Country Perspective

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.

[1]  Analysys The Network Revolution and the Developing World , 2000 .

[2]  Kemal Altinkemer,et al.  Bundling e-banking services , 2001, CACM.

[3]  Vijay Gurbaxani,et al.  Diffusion in computing networks: the case of BITNET , 1990, Commun. ACM.

[4]  D. Rubinfeld,et al.  Econometric models and economic forecasts , 2002 .

[5]  G. Lilien,et al.  Medical Innovation Revisited: Social Contagion versus Marketing Effort1 , 2001, American Journal of Sociology.

[6]  Zhou He,et al.  Perceived Characteristics, Perceived Needs, and Perceived Popularity , 2002, Commun. Res..

[7]  Tanya L. Yarbrough Connecting the World: The Development of the Global Information Infrastructure , 2001 .

[8]  Robert J. Kauffman,et al.  Should We Wait? Network Externalities, Compatibility, and Electronic Billing Adoption , 2001, J. Manag. Inf. Syst..

[9]  Andrzej Nowak,et al.  Computer modeling of social processes , 1998 .

[10]  Thiagarajan Ravichandran,et al.  How to anticipate the Internet's global diffusion , 1998, CACM.

[11]  Georgette Wang,et al.  Regulating network communication in Asia: a different balancing act? , 1999 .

[12]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[13]  E. Hargittai Weaving the Western Web: explaining differences in Internet connectivity among OECD countries , 1999 .

[14]  F. Gasmi,et al.  Competition, universal service and telecommunications policy in developing countries , 2000, Inf. Econ. Policy.

[15]  C. West Churchman,et al.  The Systems Approach , 1979 .

[16]  Maria E. Maher Access costs and entry in the local telecommunications network: a case for de-averaged rates , 1999 .

[17]  Jonathan P. Doh,et al.  Private Investment, Entrepreneurial Entry, and Partner Collaboration in Emerging Markets Telecommunications , 2002 .

[18]  GoodmanS.,et al.  The global diffusion of the Internet , 1994 .

[19]  Teemu Malmi,et al.  Activity-based costing diffusion across organizations: an exploratory empirical analysis of Finnish firms , 1999 .

[20]  Mugo Kibati,et al.  The Internet in developing countries , 1999, Commun. ACM.

[21]  P. K. Agarwal Building India's national Internet backbone , 1999, CACM.

[22]  Larry Press,et al.  A Framework for Assessing the Global Diffusion of the Internet , 2001, J. Assoc. Inf. Syst..

[23]  George P. Richardson,et al.  Loop polarity, loop dominance, and the concept of dominant polarity (1984) , 1995 .

[24]  Thiagarajan Ravichandran,et al.  An innovation diffusion model of TQM implementation , 2001, IEEE Trans. Engineering Management.

[25]  David N. Ford A behavioral approach to feedback loop dominance analysis , 1999 .

[26]  Eric F. Wolstenholme,et al.  System Enquiry: A System Dynamics Approach , 1990 .

[27]  J. Forrester Industrial Dynamics , 1997 .

[28]  Kristopher K. Robison,et al.  Post-industrial transformations and cyber-space: a cross-national analysis of Internet development , 2002 .

[29]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.