Theoretically-motivated Long-term Internet Network Adoption Based on Short Time-series: Understanding the Diffusion of an Enabling Network Technology [ 2005-01-01 - 2008-05-31 ]

Research Grant

Researchers: Prof Gary Madden (Chief Investigator) ,  Prof Russel Cooper (Chief Investigator) ,  Prof Robert Fildes (Partner Investigator)

Brief description Theoretically-motivated Long-term Internet Network Adoption Based on Short Time-series: Understanding the Diffusion of an Enabling Network Technology. A recent Government policy concerns innovation as a driver of long-term industry growth and a major determinant of global competitiveness. In particular, the Internet is a ?backbone? infrastructure for the conduct e-commerce, and enables efficiency benefits and product innovations to be realized in other sectors, e.g., banking, finance, health and tourism. This study estimates the network effect critical to forecasting Internet growth. Moreover, a structural model enhances understanding of underlying Internet dynamics and impacts on general economic conditions. Importantly, methods developed here apply to any network industry, and many non-network industries characterised by strong complementarity relations.

Funding Amount $135,000

Funding Scheme Discovery Projects

View this grant in the ARC Data Portal