Social influence for perceived usefulness and ease-of-use of course delivery systems

Journal of Interactive Online Learning

Volumn 5, Issue 3, 2006, Pages 270-282

  Shen, Demei ^a   Laffey, James ^a   Lin, Yimei ^a   Huang, Xinxin ^a  

^a UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33845981465     PISSN: None     EISSN: 15414914     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888-918.
2. Arbaugh, J. B. (2000). How classroom environment and student engagement affect learning in internet-based MBA courses. Business Communication Quarterly, 63(4), 9.
3. Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45, 659-686
4. Berge, Z. L. (1997). Computer conferencing and the online classroom. International Journal of Educational Telecommunications, 3(1), 3-21.
5. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Unpublished doctoral dissertation, MIT Sloan School of Management, Cambridge.
6. Davis, F. D. (1989). Perceived usefulness, perceived ease-of-use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
7. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982-1003.
8. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
9. Grandon, E., Alshare, K., & Kwun, O. (2005). Factors influencing student intention to adopt online classes: A cross-cultural study. Retrieved December 20, 2005, from http://delivery.acm.org/10.1145/1050000/1047853/p46- grandon.pdf?key1=1047853&key2=4988412211&coll=GUIDE&dl= GUIDE&CFID=50725129&CFTOKEN=77202820
10. Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465.
11. Jung, I., Choi, S., Lim, C., & Leem, J. (2002). Effects of different types of interaction on learning achievement, satisfaction, and participation in web-based instruction. Innovations in Education and Teaching International, 39(2), 153-162.
12. Leasure, A. R., Davis, L., & Thievon, S. L. (2000). Comparison of student outcomes and preferences in a traditional vs. World Wide Web-based baccalaureate nursing research course. Journal of Nursing Education, 39, 149-154.
13. Lee, J.S., Cho, H., Gay, G., Davidson, B., & Ingraffea, A. (2003). Technology acceptance and social networking in distance learning. Educational Technology & Society, 6(2), 50-61.
14. Lee, Y., Driscoll, M. P., & Nelson, D. W. (2004). The past, present, and future of research in distance education: Results of a content analysis. American Journal of Distance Education, 18(4), 225-241.
15. Liker, J. K., & Sindi, A. A. (1997). User acceptance of expert systems: A test of the theory of reasoned action. Journal of Engineering and Technology Management, 14, 147-173.
16. Lin, C., Hu, PJ-H., & Chen, H. (2003). Technology implementation management in law enforcement: COPLINK system usability and user acceptance evaluations. Retrieved February 11, 2006, from http://www.diggov.org/dgrc/ dgo2003/cdrom/PAPERS/hci_usability/lin_coplink.pdf
17. Lin, Y. (2005). Understanding students' technology appropriation and learning perceptions in online learning environments. Unpublished doctoral dissertation, University of Missouri, Columbia.
18. Miller, M., Rainer, R. K., & Corley, J. K. (2003). Predictors of engagement and participation in an on-line Course. Online Journal of Distance Learning Administration, 6(1).
19. Ndubisi, N. O., & Chukwunonso, N. C. (2004, July). On-line learning adoption intention: Comparing the predictive power of two competing models. Proceedings of HERDSA conference, Miri, Sarawak, Malaysia.
20. Pan, C. S., Sivo, S., & Brophy, B. (2003, April). The use of a course management system in the light of the technology acceptance model: A student perspective. Paper presented at 8th Annual Teaching in the Community Colleges Online Conference, Honolulu, HI.
21. Shin, N. (2003). Transactional presence as a critical predictor of success in distance learning. Distance Education, 24(1), 69-86.
22. Sloan Consortium (2005). Retrieved Feb. 2005, from http://www.sloanc. org/resources/survey.asp.
23. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-175.
24. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186-204.
25. Waits, T., & Lewis, L. (2003). Distance education at degree-granting postsecondary institutions: 2000-2001 (NCES 2003-017). U.S. Department of Education. Washington, DC: National Center for Education Statistics.