The role of perceived resources in online learning adoption

Computers and Education

Volumn 50, Issue 4, 2008, Pages 1423-1438

  Lee, Ya Ching ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

Computing support; Computing training; Equipment accessibility; Online learning system; Perceived resources; Technology acceptance model

Indexed keywords

COMPUTATIONAL METHODS; ONLINE SYSTEMS; RESOURCE ALLOCATION; STUDENTS;

COMPUTING SUPPORT; COMPUTING TRAINING; EQUIPMENT ACCESSIBILITY; ONLINE LEARNING SYSTEMS; PERCEIVED RESOURCES; TECHNOLOGY ACCEPTANCE MODELS (TAM);

LEARNING SYSTEMS;

EID: 41649121465     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2007.01.001     Document Type: Article

References (47)

1. Agarwal R., and Prasad J. A conceptual and operational definition of innovativeness in the domain of information technology. Information Systems Research 9 2 (1998) 204-215
2. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50 (1991) 179-211
3. Amoroso D.L., and Cheney P.H. Testing a causal model of end-user application effectiveness. Journal of Management Information Systems 8 1 (1991) 63-90
4. Babenko-Mould Y., Andrunsyszyn M.A., and Goldenberg D. Effects of computer-based clinical conferencing on nursing students' self-efficacy. Journal of Nursing Education 43 4 (2004) 149-155
5. Barki, H. (1990). Determinants of user satisfaction judgments in information systems. In Proceedings of the 23rd Hawaii international conference on system sciences (vol. 4, pp. 408-417).
6. Burns J., Clift J., and Duncan J. Understanding of understanding: Implications for learning and teaching. British Journal of Educational Psychology 61 33 (1990) 276-289
7. Cheney P., and Dickson G. Organizational characteristics and information systems: An exploratory investigation. Academy of Management Journal 25 (1982) 170-184
8. Culnan M.J. The dimensions of accessibility to online information: Implications for implementing office information system. ACM Transactions on Office Information Systems 2 2 (1984) 1414-14150
9. Davis F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 3 (1989) 318-340
10. Davis F.D., Bagozzi R.P., and Warshaw P.R. User acceptance of computer technology: A comparison of two theoretical models. Management Science 35 8 (1989) 982-1003
11. Davis F.D., Bagozzi R.P., and Warshaw P.R. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology 22 (1992) 1111-1132
12. Eom W., and Reiser R.A. The effects of self-regulation and instructional control on performance and motivation in computer-based instruction. International Journal of Instructional Media 27 3 (2000) 247-260
13. Gable G.G. Consultant engagement for computer system selection: A pro-active client role in small businesses. Information & Management 20 (1991) 83-93
14. Gefen D., and Straub D.W. Gender difference in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly 21 4 (1997) 389-401
15. Gefen D., and Straub D.W. The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the Association for Information Systems 1 8 (2000) 1-28
16. Gefen D. TAM or just plain habit: A look at experienced online shoppers. Journal of End User Computing 15 3 (2003) 1-13
17. Guimaraes T., and Ramanujam V. Computing trends and problems: An empirical study. MIS Quarterly 10 2 (1986) 179-187
18. Guimaraes T. Assessing the impact of information centers on end-user computing and company performance. Information Resources Management Journal 9 1 (1996) 6-15
19. Guimaraes T., Gupta Y.P., and Rainer R.K. Empirically testing the relationship between end-user computing problems and information center success factors. Decision Sciences 30 2 (1999) 393-413
20. Hackathorn R.D., and Karimi J. A framework for comparing information engineering methods. MIS Quarterly 12 2 (1988) 203-223
21. Hsu C.L., and Lu H.P. Why do people play online games? An extended TAM with social influences and flow experience. Information & Management 41 7 (2004) 853-868
22. Igbaria M., Guimaraes T., and Davis G. Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems 11 4 (1995) 87-114
23. Igbaria M., Guimaraes T., Davis G., Zinatelli N., Cragg P., and Cavaye L.M. Computing acceptance factors in small firms: A structural equation model. MIS Quarterly 21 3 (1997) 279-305
24. Kraemer K.L., Danziger J.N., Dunkle D.E., and King J.L. The usefulness of computer-based information to public managers. MIS Quarterly 17 2 (1993) 129-148
25. Longworth N., and Davies W.K. Lifelong learning (1996), Kogan Page, London
26. Mathieson K. Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Systems Research 2 (1991) 173-191
27. Mathieson K., and Chin W.W. Extending the technology acceptance model: The influence of perceived user resources. Database for Advances in Information Systems 32 3 (2001) 86-112
28. Mchaney R., and Cronan T.P. Computer simulation success: On the use of the end-user computing satisfaction. Decision Sciences Spring 29 2 (1998) 525-537
29. McManus T.F. Individualizing instruction in a web-based hypermedia learning environment: Nonlinearity, advance organizers and self-regulated learners. Journal of Interactive Learning Research 11 2 (2000) 219-251
30. Nelson R.R., and Cheney P.H. Training end users: A exploratory study. MIS Quarterly 11 4 (1987) 547-559
31. Nunnally J.C. Psychometric theory. 2nd ed. (1978), McGraw-Hill, New York
32. Oh S., Ahn J., and Kim B. Adoption of broadband Internet in Korea: The role of experience in building attitudes. Journal of Information Technology 18 4 (2003) 267-280
33. Ong C.S., Lai J.Y., and Wang Y.S. Factors affecting engineers' acceptance of asynchronous e-learning systems in high-tech companies. Information & Management 41 6 (2004) 795-804
34. Raho L.E., Belohlav J.A., and Fiedler K.D. Assimilating new technology into the organization: An assessment of McFarlan and McKenney's model. MIS Quarterly 11 1 (1987) 47-57
35. Raymond L. Organizational characteristics and MIS success in the context of small business. MIS Quarterly 9 1 (1985) 37-52
36. Selim H.M. An empirical investigation of student acceptance of course websites. Computers & Education 40 4 (2002) 343-360
37. Slyke C.V., Hao L., and Day J. The impact of perceived innovation characteristics on Intention to use groupware. Information Resource Management Journal 15 1 (2002) 5-12
38. Taylor S., and Todd P.A. Understanding information technology usage: A test of competing models. Information Systems Research 6 2 (1995) 144-176
39. Taylor S., and Todd P.A. Assessing IT usage: The role of prior experience. MIS Quarterly 19 4 (1995) 561-570
40. Telecommunications Act, (1996).
41. Thong Y.L., Yap C.S., and Raman K.S. Top management support, external expertise and information systems implementation in small businesses. Information Systems Research 7 2 (1996) 248-267
42. Trombley K.B., and Lee D. Web-based learning in corporations: who is using it and why, who is not and why not?. Journal of Educational Media 27 3 (2002) 137-146
43. Venkatesh V. Determinants of perceived ease of use: Integrating control intrinsic motivation and emotion into the technology. Information System Research 11 4 (2000) 342-365
44. Venkatesh V., and Davis F.D. A model of the antecedents of perceived ease of use: development and text. Decision Sciences 27 3 (2000) 41-481
45. Venkatesh V., and Davis F.D. A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science 46 2 (2000) 186-204
46. Zhang D., and Zhou L. Enhancing e-Learning with interactive multimedia. Information Resources Management Journal 16 4 (2003) 1-14
47. Zinatelli N., Cragg P.B., and Cavaye A.L.M. End user computing sophistication and success in small firms. European Journal of Information System 5 3 (1996) 172-181