Broadband Diffusion: Usage and Impact on Consumer-User Behavior

Journal of Intelligent Systems

Volumn 15, Issue 1-4, 2006, Pages 389-408

  Choudrie, Jyoti ^a   Dwivedi, Yogesh Kumar ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

broadband; consumer; diffusion; e commerce; impact; U.K; usage

Indexed keywords

BROADBAND NETWORKS; ELECTRONIC COMMERCE; INTERNET; ONLINE SYSTEMS; PURCHASING;

BROADBAND; CONSUMER; IMPACT; U.K.; USAGE;

CUSTOMER SATISFACTION;

EID: 33745275842     PISSN: 03341860     EISSN: None     Source Type: Journal    
DOI: 10.1515/JISYS.2006.15.1-4.389     Document Type: Article

References (21)

1. Ajzen, I., Madden, T.J. 1986. Prediction of goal directed behavior: Attitudes, intentions, and perceived behavioral control, Journal of Experimental Social Psychology, 22, 453-474.
2. Anderson, B. and Tracey, T. 2001. Digital living: the impact (or otherwise) of the Internet on everyday life, American Behavioral Scientist, 45, 456-475.
3. Asch, D. 2001. Competing in the new economy, European Business Journal, 13, 119-126.
4. Benbasat, I., Zmud R.W. 1999. Empirical research in information systems: the practice of relevance, MIS Quarterly, 23, 3-17.
5. Bouvard, P., Kurtzman, W. 2001. The broadband revolution: how superfast Internet access changes media habits in American households, Arbitron, Inc. and Coleman, www.arbitron.com/downloads/broadband.pdf
6. Carriere, R., Rose, J., Sirois, L., Turcotte, N. and Christian, Z. 2000. Broadband changes everything, McKinsey & Company, www.mckinsey.de/_downloads/knowmatters/telecommunications/broadband_changes.pdf
7. Cornford, T., Smithson, S. 1996. Project research in information systems: a student's guide, London, UK, Macmillan Press Ltd.
8. Costa, L. 2001. Managing impact and use of “Information & Communication technologies based services” in tourism sector, final report on working group E, June 2001 http://europa.eu.int/comm./enterprise/services/tourism/work inggroups/finalreporte_june2001_en.pdf.
9. Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13, 319-340.
10. Fishbein, M., Ajzen, I. 1975. Belief attitude, intention, and behavior: an introduction to theory and research, Reading, Massachusetts, USA, Addison-Wesley.
11. Fowler, F.J. 1993. Survey research methods, London, UK, SAGE Publications, Inc.
12. Hall, D., Hall, I. 1996. Practical social research: project work in the community, London, UK, Macmillan Press Ltd.
13. Horrigan, J.B., Rainie, L. 2001. Online communities: networks that nurture long-distance relationship and local ties. Pew Internet and American Life Project. www.pewinternet.org/reports/pdfs/PIP_Communties_Report.pdf
14. Hu, P.J., Chau, P.Y.K., Sheng, O.R.L. and Tarn, Y.K. 1999. Examining the technology acceptance model using physician acceptance of telemedicine technology, Journal of Management Information Systems, 16, 91-112.
15. Mugo, F.W. 2000. Sampling in research, http://trochim. human.cornell.edu/tutorial/mugo/tutorial.htm, accessed 29th April 2002.
16. Nie, N.H., Erbring, L. 2000. Internet and society: a preliminary report, Palo Alto, California, USA, Stanford Institute for the Quantitative Study of Society (SIQSS), www.stanford.edu/group/siqss/Press_Release/Preliminary_Report.pdf
17. Oftel. 2002. Consumer research program: internet & residential consumers, www.oftel.gov.uk/publications/news/on55/res0202.htm
18. Rogers, E.M. 1995. Diffusion of innovations, New York, NY, USA, Free Press.
19. Rose, G. Khoo, H. and Straub, D.W. 1999. Current technological impedements to B2C electronic commerce, CAIS Articles 1. http://cais.isworld. org/articles/l -16/article.htm
20. Taylor, S., Todd, P.A. 1995. Understanding information technology usage: a test of competing models, Information Systems Research, 6, 44-176.
21. Venkatesh, V., Morris, M.G., Davis, B.G. and Davis, F.D. 2003. User accepance of information technology: toward a unified view, MIS Quarterly, 27, 425-478.