An empirical investigation into factors influencing the adoption of an e-learning system

Online Information Review

Volumn 30, Issue 5, 2006, Pages 517-541

  Lee, Ya Ching ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

Computers; E learning; Internet; Quality; Worldwide web

Indexed keywords

BANDWAGON EFFECTS; COMPUTER SELF-EFFICACY; E-LEARNING;

INTERNET; MATHEMATICAL MODELS; QUALITY CONTROL; REGRESSION ANALYSIS; WORLD WIDE WEB;

LEARNING SYSTEMS;

EID: 33750012685     PISSN: 14684527     EISSN: None     Source Type: Journal    
DOI: 10.1108/14684520610706406     Document Type: Article

References (61)

1. Agarwal, R. and Prasad, J. (1997), "The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies", Decision Sciences, Vol. 28 No. 3, pp. 557-82.
2. Ajzen, I. (1991), "The theory of planned behavior", Organizational Behavior and Human Decision Processes, Vol. 50, pp. 179-211.
3. Ajzen, I. and Fishbein, M. (1980), Understanding Attitudes and Predicting Social Behavior, Prentice-Hall, Englewood Cliffs, NJ.
4. Arbaugh, J.B. (2000), "Virtual classroom characteristics and student satisfaction with internet-based MBA", Journal of Management Education, Vol. 24 No. 1, pp. 32-54.
5. Babenko-Mould, Y., Andrunsyszyn, M.A. and Goldenberg, D. (2004), "Effects of computer-based clinical conferencing on nursing students' self-efficacy", Journal of Nursing Education, Vol. 43 No. 4, pp. 149-56.
6. Bandura, A. (1982), "Self-efficacy mechanism in human agency", American Psychologist, Vol. 37 No. 2, pp. 122-47.
7. Bandura, A. (1997), Self-efficacy: the Exercise of Control, Freeman and Company, New York, NY.
8. Boisvert, L. (2000), "Web-base learning: the anytime anywhere classroom", Information System Management, Vol. 17 No. 1, pp. 35-40.
9. Burns, J., Clift, J. and Duncan, J. (1990), "Understanding of understanding: implications for learning and teaching", British Journal of Educational Psychology, Vol. 61, pp. 276-89.
10. Chen, D.T., Wong, A.F.L. and Hsu, J.F. (2003), "internet-based instructional activities: not everything should be on the internet", Journal of Research on Technology in Education, Vol. 36 No. 1, pp. 50-9.
11. Chew, S.C.E. (2002), "E-learning - a provider's prospective", Internet and Higher Education, Vol. 4, pp. 337-52.
12. Chu, P.Y. and Chiu, J.F. (2003), "Factors influencing household waste recycling behavior: test of an integrated model", Journal of Applied Social Psychology, Vol. 33 No. 3, pp. 604-26.
13. Compeau, D.R. and Higgins, C.A. (1995), "Computer self-efficacy: development of a measure and initial test", MIS Quarterly, Vol. 19 No. 2, pp. 189-211.
14. Compeau, D.R. and Huff, S. (1999), "Social cognitive theory and individual reactions to computing technology: a longitudinal study", MIS Quarterly, Vol. 23 No. 2, pp. 145-58.
15. Davis, F.D. (1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, Vol. 13 No. 3, pp. 319-40.
16. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989), "User acceptance of computer technology: a comparison of two theoretical models", Management Science, Vol. 35 No. 8, pp. 982-1002.
17. 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, Vol. 22, pp. 1111-32.
18. Delone, W.H. and McLean, E.R. (1992), "Information systems success: the quest for the dependent variable", Information systems Research, Vol. 3 No. 1, pp. 60-95.
19. Deutsch, M. and Gerard, H. (1995), "A study of normative and informational social influences upon individual judgement", Journal of Abnormal and Social Psychology, Vol. 51, pp. 624-36.
20. Eom, W. and Reiser, R.A. (2000), "The effects of self-regulation and instructional control on performance and motivation in computer-based instruction", International Journal of Instructional Media, Vol. 27 No. 3, pp. 247-61.
21. Fishbein, M. and Ajzen, I. (1975), Belief, Attitude, Intention and Behavior: an Introduction to Theory and Research, Addison-Wesley, Reading, MA.
22. Gefen, D. (2003), "TAM or just plain habit: a look at experienced online shoppers", Journal of End User Computing, Vol. 15 No. 3, pp. 1-13.
23. Gefen, D. and Straub, D.W. (1997), "Gender difference in the perception and use of e-mail: an extension to the technology acceptance model", MIS Quarterly, Vol. 21 No. 4, pp. 389-400.
24. Gefen, D. and Straub, D.W. (2000), "The relative importance of perceived ease of use in IS adoption: a study of e-commerce adoption", Journal of the Association for Information Systems, Vol. 1, pp. 1-28.
25. Goodwin, C. (1987), "A social-influence theory of consumer cooperation", Advances in Consumer Research, Vol. 14, pp. 378-81.
26. Harrison, D.A. (1995), "Volunteer motivation and attendance decisions: competitive theory testing in multiple samples from a homeless shelter", Journal of Applied Psychology, Vol. 80 No. 3, pp. 371-85.
27. Hasan, B. and Ali, J.M.H. (2004), "An empirical examination of a model of computer learning performance", Journal of Computer Information Systems, Vol. 44 No. 4, pp. 27-34.
28. Hayashi, A., Chen, C., Ryan, T. and Wu, J. (2004), "The role of social presence and moderating role of computer self-efficacy in predicting the continuance usage of e-learning systems", Journal of Information Systems Education, Vol. 15 No. 2, pp. 139-54.
29. Holak, S.L. (1988), "Determinants of innovative durables adoption and empirical study with implications for early product screening", Journal of Product Innovation Management, Vol. 5, pp. 50-69.
30. Hsu, C.L. and Lu, H.P. (2004), "Why do people play online games? An extended TAM with social influences and flow experience", Information and Management, Vol. 41, pp. 853-68.
31. Igbaria, M., Guimaraes, T. and Davis, G. (1995), "Testing the determinants of microcomputer usage via a structural equation model", Journal of Management Information Systems, Vol. 11 No. 4, pp. 87-114.
32. Igbaria, M., Zinatelli, N., Cragg, P. and Cavaye, L.M. (1997), "Personal computing acceptance factors in small firms: a structural equation model", MIS Quarterly, Vol. 21 No. 3, pp. 279-302.
33. Katerattanakul, P. and Siau, K. (1999), "Measuring information quality of Web sites: development of an instrument", Proceedings of International Conference on Information Systems, Charlotte, NC, pp. 279-85.
34. Katz, M.L. and Shapiro, C. (1985), "Network externalities, competition, and compatibility", American Economic Review, Vol. 75, pp. 424-40.
35. Kotler, P. (1998), Marketing Management: Analysis, Planning, Implementation and Control, Prentice-Hall, Englewood Cliffs, NJ.
36. Lee, D.S. (1986), "Usage patterns and sources of assistance to personal computer users", MIS Quarterly, Vol. 10 No. 4, pp. 313-25.
37. Lent, R., Brown, S. and Larkin, K. (1984), "Relation of self-efficacy expectations to academic achievement and persistence", Journal of Counseling Psychology, Vol. 31, pp. 356-62.
38. Longworth, N. and Davies, W.K. (1996), Lifelong Learning, Kogan Page, London.
39. Luo, W. and Strong, D. (2003), "Perceived critical mass effect on groupware acceptance", European Journal of Information System, Vol. 9 No. 2, pp. 91-103.
40. McKinney, V., Yoon, K. and Zahedi, F.M. (2002), "The measurement of Web-customer satisfaction: an expectation and disconfirmation approach", Information Systems Research, Vol. 13 No. 3, pp. 296-315.
41. McManus, T.F. (2000), "Individualizing instruction in a Web-based hypermedia learning environment: nonlinearity, advance organizers and self-regulated learners", Journal of Interactive Learning Research, Vol. 11 No. 3, pp. 219-51.
42. Madorin, S. and Iwasiw, C. (1999), "The effects of computer-assisted instruction on the self-efficacy of baccalaureate nursing students", Journal of Nursing Education, Vol. 38, pp. 282-5.
43. Mason, R. and Weller, M. (2000), "Factors affecting students' satisfaction on a Web course", Australian Journal of Educational Technology, Vol. 16 No. 2, pp. 173-200.
44. Nault, B. and Dexter, A. (1994), "Adoption, transfers, and incentives in a franchise network with positive externalities", Marketing Science, Vol. 13 No. 4, pp. 412-23.
45. Ong, C.S., Lai, J.Y. and Wang, Y.S. (2004), "Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies", Information and Management, Vol. 41, pp. 795-804.
46. Peterman, T.W. (2000), "Elements of success at a traditional/virtual university: lessons learned from three years of growth in cyberspace", Journal of Academic Librarianship, Vol. 26 No. 1, pp. 27-33.
47. Phau, I. and Poon, S.M. (2000), "Factors influencing the types of products and services purchased over the internet", Internet Research, Vol. 10, pp. 102-13.
48. Raymond, L. (1985), "Organizational characteristics and MIS success in the context of small business", MIS Quarterly, Vol. 9 No. 1, pp. 37-52.
49. Selim, H.M. (2002), "An empirical investigation of student acceptance of course Websites", Computers and Education, Vol. 40, pp. 343-60.
50. Shapiro, C. and Varian, H. (1999), Information Rules: a Strategic Guide to the Network Economy, Harvard Business School Press, Cambridge, MA.
51. Szajna, B. (1996), "Empirical evaluation of the revised technology acceptance model", Management Science, Vol. 43 No. 1, pp. 85-92.
52. Taylor, S. and Todd, P.A. (1995a), "Understanding information technology usage: a test of competing models", Information Systems Research, Vol. 6 No. 2, pp. 144-76.
53. Taylor, S. and Todd, P.A. (1995b), "Assessing IT usage: the role of prior experience", MIS Quarterly, Vol. 19 No. 4, pp. 561-70.
54. Trombley, K.B. and Lee, D. (2002), "Web-based learning in corporations: who is using it and why, who is not and why not?", Journal of Educational Media, Vol. 27 No. 3, pp. 137-46.
55. Venkatesh, V. (2000), "Determinants of perceived ease of use: integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model", Information Systems Research, Vol. 11 No. 4, pp. 342-65.
56. Ventakesh, V. and Davis, F.D. (1996), "A model of the antecedents of perceived ease of use: development and test", Decision Sciences, Vol. 27, pp. 451-81.
57. Venkatesh, V. and Davis, F.D. (2000), "A theoretical extension of the technology acceptance model: four longitudinal field studies", Management Science, Vol. 2, pp. 186-204.
58. Wang, E. and Seidmann, G. (1995), "Electronic data interchange: competitive externalities and strategic implementation policies", Management Science, Vol. 41 No. 3, pp. 401-18.
59. Yi, M.Y. and Im, K.S. (2004), "Predicting computer task performance: personal goal and self-efficacy", Journal of Organizational and End-user Computing, Vol. 16 No. 2, pp. 20-38.
60. Zhang, D. and Zhou, L. (2003), "Enhancing e-Learning with interactive multimedia", Information Resources Management Journal, Vol. 16 No. 4, pp. 1-14.
61. Collison, G., Elbaum, B., Haavind, S. and Tinker, R. (2000), Facilitating Online Learning: Effective Strategies for Moderators, Atwood, Madison, WI.