Factors affecting faculty use of learning technologies: Implications for models of technology adoption

Journal of Computing in Higher Education

Volumn 25, Issue 1, 2013, Pages 1-11

  Buchanan, Tom ^a   Sainter, Phillip ^a   Saunders, Gunter ^a  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

Author keywords

Education; Faculty; Internet self efficacy; TAM; Technology adoption; UTAUT

Indexed keywords

EID: 84879476848     PISSN: 10421726     EISSN: 18671233     Source Type: Journal    
DOI: 10.1007/s12528-013-9066-6     Document Type: Article

References (17)

1. Ajjan, H., & Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2. 0 technologies: Theory and empirical tests. The Internet and Higher Education, 11(2), 71-80. doi: 10. 1016/j. iheduc. 2008. 05. 002.
2. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
3. Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 243-254. Retrieved from http://aisel. aisnet. org/jais/vol8/iss4/12/.
4. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. doi: 10. 1037/0033-295X. 84. 2. 191.
5. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340. doi: 10. 2307/249008.
6. Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487. doi: 10. 1006/imms. 1993. 1022.
7. Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1). doi: 10. 1111/j. 1083-6101. 2000. tb00110. x.
8. Horn, J. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179-185. doi: 10. 1007/BF02289447.
9. Hsu, M.-H., & Chiu, C.-M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369-381. doi: 10. 1016/j. dss. 2003. 08. 001.
10. Lean, J., Moizer, J., Towler, M., & Abbey, C. (2006). Simulations and games. Active Learning in Higher Education, 7(3), 227-242. doi: 10. 1177/1469787406069056.
11. McKenna, K. Y. A., Green, A. S., & Gleason, M. E. J. (2002). Relationship formation on the internet: What's the big attraction? Journal of Social Issues, 58(1), 9-31. doi: 10. 1111/1540-4560. 00246.
12. Park, N., Lee, K. M., & Cheong, P. H. (2008). University instructors' acceptance of electronic courseware: An application of the technology acceptance model. Journal of Computer-Mediated Communication, 13(1), 163-186. doi: 10. 1111/j. 1083-6101. 2007. 00391. x.
13. Patil, V. H., Singh, S. N., Mishra, S., & Donavan, D. T. (2008). Efficient theory development and factor retention criteria: Abandon the 'eigenvalue greater than one' criterion. Journal of Business Research, 61(2), 162-170. doi: 10. 1016/j. jbusres. 2007. 05. 008.
14. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. doi: 10. 1287/isre. 6. 2. 144.
15. Torkzadeh, G., & van Dyke, T. P. (2002). Effects of training on Internet self-efficacy and computer user attitudes. Computers in Human Behavior, 18(5), 479-494. doi: 10. 1016/S0747-5632(02)00010-9.
16. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. Retrieved from http://www. jstor. org/stable/30036540.
17. Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431-449. doi: 10. 1016/S1071-5819(03)00114-9.