Norwegian Internet Shopping Sites: An Application & Extension of the Technology Acceptance Model

REFERENCES

• Alden, D.L., Steenkamp, J.-B.E.M., & Batra, R. (1999). Brand positioning through advertising in Asia, North America, and Europe: The role of global consumer culture. Journal of Marketing, 63(January), 75–87.
   Google Scholar
• Anderson, J.C. & Gerbing, D.W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(May), 411–423.
   Google Scholar
• Babin, B.J., Darden, W.E., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(March), 644–655.
   Google Scholar
• Bentler, P.M. (2004). EQS 6 structural equations program manual. Encino, CA: Multivariate Software, Inc.
   Google Scholar
• Churchill, G.A., Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(4), 64–73.
   Web of Science ®Google Scholar
• Computer Industry Almanac (2006). http://www.c-i-a.com/prO106.htm accessed September 3, 2007.
   Google Scholar
• Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.
   Web of Science ®Google Scholar
• c-Living Consortium (2002). D11.1, online available at: http://www.eurescom.de/e-living/deliverables/e-liv-D11.1-Final.pdf.
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research, Reading, MA: Addison-Wesley.
   Google Scholar
• Fornell C., & Larcker D.F. (1981). Evaluating structural equation model with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
   Web of Science ®Google Scholar
• Gefen, D. & Staub, D.W. (2000). The relative importance of perceived ease-of-use in is adoption: a study of e-commerce adoption. JAIS, 1(8), 1–30.
   Google Scholar
• Grünhagen, M., Grove, S.J, & Gentry, J.W. (2003). The dynamics of store hour changes and consumption behavior: Results of a longitudinal study of consumer attitudes toward Saturday shopping in Germany. European Journal of Marketing, 37(11/12), 1801–1817.
   Google Scholar
• Hair, J.F. Jr., Anderson, R.E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis, (5th Edition), Prentice Hall, Upper Saddle River, NJ.
   Google Scholar
• Houston, M.J. & Rothschild, M.L. (1978). Conceptual and methodological perspectives in involvement In Research Frontiers in Marketing: Dialogues and Directions, Subhash C. Jain, ed., Chicago: American Marketing Association, 184-187. http://www.internetworldstats.com/europa2.htm.
   Google Scholar
• Igbaria, M. and S. Parasuraman. (1989). A path analytic study of individual characteristics, computer anxiety, and attitudes toward microcomputers. Journal of Management, 15(3), 373–388.
   Web of Science ®Google Scholar
• Ihlwan, M., & Hall, K. (2007). New technology, old habits. Business Week, March 26, 48–49.
   Google Scholar
• Jackson, C.M., Chow, S., & Leitch, R.A. (1997). Toward an understanding of the behavioral intentions to use an information system. Decision Sciences, 28(2), 357–389.
   Web of Science ®Google Scholar
• Krugman, H. E. (1965). The impact of television advertising: Learning without involvement. Public Opinion Quarterly, 29(Fall), 349–356.
   Google Scholar
• Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40(3), 191–204.
   Web of Science ®Google Scholar
• McCoy, S., Everard, A., & Jones, B.M. (2005). An examination of the technology acceptance model in Uruguay and the US: A focus on culture. Journal of Global Information Technology Management, 8(2), 27–45.
   Google Scholar
• Mittal, B. & Lee, M. (1989). A causal model of consumer involvement. Journal of Economic Psychology, 10(3), 363–390.
   Web of Science ®Google Scholar
• Netemeyer, R.G., Burton, S., & Lichtenstein, D.R. (1995). Trait aspects of vanity: measurement and relevance to consumer behavior. Journal of Consumer Res., 21(3), 46–60.
   Google Scholar
• Nunnally, J.C. & Bernstein, I.H. (1994). Psychometric theory (3rd ed.), McGraw Hill, New York, NY.
   Google Scholar
• Park, C.W. & Young, S.M. (1986). Consumer response to television commercials: The impact of involvement and background music on brand attitude formation. Journal of Marketing Research, 23(1), 11–24.
   Web of Science ®Google Scholar
• Pei, Z., Zhenxiang, Z. & Chunping, H. (2007). An extended TAM model for Chinese B2C websites design. Journal of Global Information Technology Management, 10(1), 51–66.
   Google Scholar
• Richins, M.L. & Bloch, P.H. (1991). Post-purchase product satisfaction: Incorporating the effects of involvement and time. Journal of Business Research, 23(2), 145–159.
   Web of Science ®Google Scholar
• Rubin, A.M. (1981). An examination of television viewing motivations. Communication Research, 8, 141–165.
   Web of Science ®Google Scholar
• Scott, C.A. & Yalch, R.F. (1980). Consumer response to initial product trial: A bayesian analysis. Journal of Consumer Research, 7(1), 32–41.
   Web of Science ®Google Scholar
• Singh, N., Fassott, G., Chao, M.C.H., & Hoffmann, J.A. (2006) Understanding international web site usage. International Marketing Review, 23(1), 83–97.
   Web of Science ®Google Scholar
• Stafford, T.F. & Stafford, M.R. (2001). Identifying motivations for the use of commercial web sites. Information Resources Management Journal, 14(1), 22–30.
   Google Scholar
• Stafford, T.F., Turan, A.H., & Khasawneh, A.M. (2006). MIDDLE-EAST.COM: Diffusion of the Internet and online shopping in Jordan and Turkey. Journal of Global Information Technology Management, 9(3), 43–61.
   Google Scholar
• Strite, M. & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 30(3), 679–704.
   Web of Science ®Google Scholar
• U.S. Central Intelligence Agency (CIA) (2005). The World Factbook, https://www.cia.gov/library/publications/the-world-factbopk/geos/no.html.
   Google Scholar
• Venkatesh, V. & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27(3), 451–481.
   Web of Science ®Google Scholar
• Venkatesh, V., Ramesh, V., & Massey, A.P. (2003). Understanding usability in mobile commerce. Communications of the ACM, 46(12), 53–56
   Web of Science ®Google Scholar
• Vrechopoulos, A.P., Siomkos, G.F., & Doukidis, G.I. (2001). Internet shopping adoption by Greek consumers. European Journal of Innovation Management, 4(3), 142–152.
   Google Scholar
• Wang, C.C., Hsu, Y., & Fang, W. (2004). Acceptance of technology with network externalities: An empirical study. Journal of IT Theory and Application, 6(4), 15–28.
   Google Scholar
• Yip, G.S. (2000). Global strategy in the Internet era. Business Strategy Review, 11(4), 1–14.
   Google Scholar
• Zaichkowsky, J.L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352.
   Web of Science ®Google Scholar
• Zaichkowsky, J.L. (1994). The personal involvement inventory: Reduction, revision, and application to advertising. Journal of Advertising, 23(4), 59–70.
   Web of Science ®Google Scholar