Applied multivariate statistics for the social sciences
Applied multivariate statistics for the social sciences
An examination of designer and user perceptions of JAD and the traditional IS design methodology
Information and Management
Toward an empirical understanding of computer simulation implementation success
Information and Management
Internet-based e-shopping and consumer attitudes an empirical study
Information and Management
Factors influencing the adoption of Internet banking
Journal of the AIS
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Information Systems Research
Factors Influencing the Adoption of Residential Broadband Connections to the Internet
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 5 - Volume 5
Spss Explained
Broadband development in South Korea: institutional and cultural factors
European Journal of Information Systems
SPSS for Psychologists: A Guide to Data Analysis Using SPSS for Windows
SPSS for Psychologists: A Guide to Data Analysis Using SPSS for Windows
Understanding the adopters and non-adopters of broadband
Communications of the ACM - Rural engineering development
Consumer Adoption and Usage of Broadband
Consumer Adoption and Usage of Broadband
Information and Management
Extending the TAM for a t-commerce
Information and Management
User acceptance of hedonic information systems
MIS Quarterly
International Journal of Business Information Systems
E-government adoption research: an analysis of the employee's perspective
International Journal of Business Information Systems
Hi-index | 0.00 |
This research examines factors affecting the adoption of broadband in UK households. A conceptual model was developed by selecting and justifying six relevant constructs from the technology adoption literature. This was then empirically tested by employing a survey. Survey data was randomly collected from 358 UK households and analysed employing linear and logistic regression analysis. The findings demonstrated that all the six constructs, namely relative advantage, utilitarian outcomes, hedonic outcomes, primary influence, facilitating conditions resources and self-efficacy were significant predictors of the Behavioural Intentions (BIs) to adopt broadband. Also, BIs and facilitating conditions resources together significantly explained broadband adoption behaviour. The theoretical contribution of this research is that it integrates and determines the appropriate constructs in order to enhance knowledge of technology adoption from the consumer's perspective. Considering the slow rate of broadband adoption, this research also provides implications for policy makers and broadband providers in order to encourage and promote the adoption and usage of broadband.