Continued use of a Chinese online portal: An empirical study

Behaviour and Information Technology

Volumn 27, Issue 3, 2008, Pages 201-209

  Shih, Hung Pin ^a  

^a HSUAN CHUANG UNIVERSITY   (Taiwan)

Author keywords

Continued use intentions; Diffusion of innovation; Online postals; Post adoption behaviour

Indexed keywords

COMMUNICATION; ELECTRONIC COMMERCE; PORTALS;

(ALGORITHMIC) COMPLEXITY; (E ,2E) THEORY; CONTINUED USE; DIFFUSION OF INNOVATIONS; EMPIRICAL RESULTS; EMPIRICAL STUDIES; EVOLUTION (CO); INNOVATION CHARACTERISTICS; PERCEIVED PLAYFULNESS; WEB PORTALS;

INTERNET;

EID: 46149083047     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/01449290600802403     Document Type: Article

References (56)

1. AGARWAL, R. and PRASAD, J., 1998, The antecedents and consequences of user perceptions in information technology adoption. Decision Support Systems, 22, pp. 15 - 29.
2. ALWIN, D.E. and HAUSER, R.M., 1975, Decomposition of effects in path analysis. American Sociological Review, 40, pp. 37 - 47.
3. ATKINSON, M. and KYDD, C., 1997, Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation. The DATA BASE for Advances in Information Systems, 28, pp. 53 - 62.
4. BEATTY, R.C., SHIM, J.P. and JONES, M.C. 2001, Factors influencing corporate web site adoption: a time-based assessment. Information and Management, 38, pp. 337 - 354.
5. BRANCHEAU, J.C. and WETHERBE, J.C., 1990, The adoption of spreadsheet software: testing innovation diffusion theory in the context of end-user computing. Information Systems Research, 1, pp. 115 - 143.
6. CHAU, P.Y.K. and HU, P.J-H., 2001, Information technology acceptance by individual professionals: a model comparison approach. Decision Sciences, 32, pp. 699 - 719.
7. CHAU, P.Y.K. and HU, P.J., 2002, Examining a model of information technology acceptance by individual professionals: an exploratory study. Journal of Management Information Systems, 18, pp. 191 - 230.
8. CHEN, M., 1986,Gender and computers: the beneficial effects ofexperience on attitudes. Journal of Educational Computing Research, 2, pp. 265 - 282.
9. CHIN, W.W., 1998, The partial least squares approach for structural equation modeling. In Modern Methods for Business Research, G.A. Marcoulides (Ed.), pp. 295 - 336 (New Jersey: Lawrence Erlbaum Associates).
10. CHIN, W.W., 2001, PLS-Graph User's Guide, v. 3.0 (Houston, TX: Soft Modeling Inc.).
11. CHIN, W.W. and GOPAL, A., 1995, Adoption intention in GSS: relative importance of beliefs. The DATA BASE for Advances in Information Systems, 26, pp. 43 - 63.
12. CHIN, W.W. and NEWSTED, P.R., 1999, Structural equation modeling analysis with small samples using partial least squares. In Statistical Strategies for Small Sample Research, R. Hoyle (Ed.), pp. 307 - 341 (London: Sage Publications).
13. COCKBURN, C. and WILSON, T.D., 1996, Business use of the World-Wide-Web. International Journal of Information Management, 16, pp. 83 - 102.
14. COOPER, R. and ZMUD, R.W., 1990, Information technology implementation research: a technological diffusion approach. Management Science, 36, pp. 123 - 139.
15. DAVIS, F.D., BAGOZZI, R.P. and WARSHAW, P.R., 1989, User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35, pp. 982 - 1003.
16. DAVIS, F.D., BAGOZZI, R.P. and WARSHAW, P.R., 1992, Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, pp. 1111 - 1132.
17. DAVIS, F.D., 1993, User acceptance of information technology: system characteristics, user perceptions and behavioural impacts. International Journal of Man - Machine Studies, 38, pp. 475 - 487.
18. DECI, E.L., 1975, Intrinsic Motivation (New York: Plenum Press).
19. DECI, E.L. and RYAN, R.M., 1985, Intrinsic Motivation and Self-Determination in Human Behavior (New York: Plenum Press).
20. EISENMANN, T.R., 2002, Internet Business Models: Text and Cases (New York: McGraw-Hill).
21. FORNELL, C.R., 1982, A Second Generation of Multivariate Analysis, Vol. I and II: Methods (New York: Praeger Special Studies).
22. FORNELL, C.R. and LARCKER, D.F., 1981, Structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, pp. 39 - 50.
23. FORNELL, C.R., TELLIS, G.L. and ZINKHAN, G.M., 1982, Validity assessment: a structural equation approach using partial least squares. An Assessment of Marketing Though and Practice, B.J. Walker et al. (Eds), pp. 405 - 409 (Chicago: American Marketing Association).
24. GEFEN, D. and STRAUB, D.W., 1997, Gender differences in the perception and use of e-mail: an extension to the technology acceptance model. MIS Quarterly, 21, pp. 389 - 400.
25. GOODMAN, S.E., PRESS, L.I., RUTH, S.R. and RUTKOWSKI, A.M., 1994, The global diffusion of the Internet: patterns and problems. Communications of the ACM, 37, pp. 27 - 31.
26. HOFFMAN, D.L., KALSBEEK, W.D. and NOVAK, T.P., 1996, Internet and web use in the US. Communications of the ACM, 39, pp. 36 - 46.
27. IGBARIA, M., IIVARI, J. and MARAGAHH, H., 1995, Why do individuals use computer technology? A Finnish case study. Information and Management, 29, pp. 227 - 238.
28. IVES, B. and JARVENPAA, S.L., 1996, Will the Internet revolutionize business education and research? Sloan Management Review, Spring, pp. 33 - 41.
29. KARAHANNA, E., STRAUB, D.W. and CHERVANY, N.L., 1999, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23, pp. 183 - 213.
30. LIEBERMAN, J.N., 1977, Playfulness: Its Relationship to Imagination and Creativity (New York: Academic Press).
31. LIU, C., ARNETT, K.P., CAPELLA, L.M. and BEATTY, R.C., 1997, Web sites of the Fortune 500 companies: facing customers through home pages. Information and Management, 31, pp. 335 - 345.
32. LOHMOLLER, J.B., 1989, Latent Variable Path Modeling with Partial Least Squares (Heidelberg: Physica-Verlag).
33. MATHIESON, K., 1991, Predicting user intentions: comparing the technology acceptance model with the theory of planned behaviour. Information Systems Research, 2, pp. 173 - 191.
34. MOON, J.-W. and KIM, Y.-G., 2001, Extending the TAM for a WorldWide-Web context. Information and Management, 38, pp. 217 - 230.
35. MOORE, G.C. and BENBASAT, I., 1991, Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, pp. 192 - 222.
36. NATH, R., AKMANLIGIL, M., HJELM, K., SAKAGUCHI, T. and SCHULTZ, M., 1998, Electronic commerce and the Internet: issues, problems, and perspectives. International Journal of Information Management, 18, pp. 91 - 101.
37. NUNNALLY, J.C., 1978, Psychometric Theory (2nd edition) (New York: McGraw-Hill).
38. PARTHASARATHY, M. and BHATTACHERJEE, A., 1998, Understanding post-adoption behaviour in the context of online services. Information Systems Research, 9, pp. 362 - 379.
39. PORTER, L.W., BIGLEY, G.A. and STEERS, R.M., 2003, Motivation and Work Behavior (New York: McGraw-Hill).
40. PREMKUMAR, G. and POTTER, M., 1995, Adoption of computer aided software engineering (CASE) technology: an innovation adoption perspective. The DATA BASE for Advances in Information Systems, 26, pp. 105 - 123.
41. PREMKUMAR, G., RAMAMURTHY, K. and NILAKANTA, S., 1994, Implementation of electronic data interchange: an innovation diffusion perspective. Journal of Management Information Systems, 11, pp. 157 - 186.
42. QUELCH, J.A. and KLEIN, L.R., 1996, The Internet and international marketing. Sloan Management Review, Spring, pp. 60 - 75.
43. ROGERS, E.M., 1995, The Diffusion of Innovation (4th edition) (New York: Free Press).
44. RUST, R.T. and LEMON, K.N., 2001, E-service and the customer. International Journal of Electronic Commerce, 5, pp. 85 - 101.
45. SIMON, S.J., 2001, The impact of culture and gender on web sites: an empirical study. The DATA BASE for Advances in Information Systems, 32, pp. 18 - 37.
46. TAN, M. and TEO, T.S.H., 2000, Factors influencing the adoption of internet banking. Journal of the Association for Information Systems, 1, pp. 1 - 44.
47. TAYLOR, S. and TODD, P.A., 1995, Understanding information technology usage: a test of competing models. Information Systems Research, 6, pp. 144 - 176.
48. TEO, T.S.H., LIM, V.K.G. and LAI, R.Y.C., 1997, Users and uses of the Internet: the case of Singapore. International Journal of Information Management, 17, pp. 325 - 336.
49. TEO, T.S.H. and LIM, V.K.G., 2000, Gender differences in internet usage and task preferences. Behaviour and Information Technology, 19, pp. 283 - 295.
50. THOMPSON, R.L., HIGGINS, C.A. and HOWELL, J.M., 1991, Personal computing: toward a conceptual model of utilization. MIS Quarterly, 15, pp. 125 - 143.
51. TORNATZKY, L.G. and KLEIN, K.J., 1982, Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Transactions on Engineering Management, 29, pp. 28 - 45.
52. TRUMAN, G.E., SANDOE, K. and RIFKIN, T., 2003, An empirical study of smart card technology. Information and Management, 40, pp. 591 - 606.
53. VAN DER HEIJDEN, H., 2003, Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Information and Management, 40, pp. 541 - 549.
54. WILDER, G., MACKIE, D. and COOPER, J., 1985, Gender and computers: two surveys of computer-related attitudes. Sex Roles, 13, pp. 215 - 229.
55. WOLD, H., 1982, Systems under indirect observation using PLS. In A Second Generation of Multivariate Analysis, Vol I: Methods, C. Fornell (Ed.), pp. 325 - 347 (New York: Praeger).
56. ZANNA, M.P. and REMPEL, J.K., 1988, Attitudes: a new look at an old concept. In The Social Psychology of Knowledge, D. Bar-Tal and A.W. Kruglanski (Eds), pp. 315 - 334 (New York: Cambridge University Press).