A classification tree analysis of broadband adoption in Australian households

Authors:
Steven E. Stern;Shirley Gregor;Michael A. Martin;Sigi Goode;John Rolfe
Affiliations:
Faculty of Economics and Commerce, ANU, Canberra ACT;Faculty of Economics and Commerce, ANU, Canberra ACT;Faculty of Economics and Commerce, ANU, Canberra ACT;Faculty of Economics and Commerce, ANU, Canberra ACT;Faculty of Business and Law, CQU, Rockhampton QLD
Venue:
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Year:
2004

Citing 7
Cited 1

Applied multivariate statistical analysis

Applied multivariate statistical analysis
ISDN implementation in the United States and Germany: a cross-country assessment

Information and Management
Electronic data interchange and small organizations: adoption and impact of technology

MIS Quarterly
Critical factors of ISDN implementation: an exploratory study

Information and Management
A theory of industry-level activity for understanding the adoption of interorganizational systems

European Journal of Information Systems
Research Report: Empirical Test of an EDI Adoption Model

Information Systems Research
Theory of Interorganizational Systems: Industry Structure and Processes of Change

HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 7 - Volume 7

Predictive analytics in information systems research

MIS Quarterly

Quantified Score

Hi-index	0.00

Visualization

Abstract

Broadband communication technologies offer households many opportunities, including greater access to education, health and government services, entertainment and social connectivity. Australia appears, however, to be lagging behind other nations in adopting broadband.This paper reports on a study of the relative importance of factors affecting broadband uptake and usage by Australian households. A large data set with 23,093 records was analysed using an innovative statistical technique known as classification tree analysis.Important adoption factors, in approximate order of importance, were: Frequency of Internet usage (indicating needs and benefits of use); Location, a factor likely to indicate, in part, the availability of services; Technophilia, a tendency to acquire technologies in general in the household; and Subscription to Pay TV. User needs and benefits, rather than cost, were found to be primary drivers.