A model for instructors' adoption of learning management systems: Empirical Validation in higher education context

Turkish Online Journal of Educational Technology

Volumn 12, Issue 2, 2013, Pages 13-25

  Findik Coşkunçay, Duygu ^a   Özkan, Sevgi ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

E learning adoption; Learning management systems; Partial least squares; Structural equation modeling; Technology adoption

Indexed keywords

EID: 84880055141     PISSN: 13036521     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (36)

1. Bourne, J., Harris, D., & Mayadas, F. (2005). Online engineering education: learning anywhere, anytime. Journal of Engineering Education, 9(1), 131-146.
2. Carmines, E. G., & Zeller, R.A. (1994). Reliability and validity assessment. M. Lewis-Beck (Ed.). Basic measurement (pp. 1-58). London: Sage.
3. Chang, S. C., & Tung, F. C. (2008). An empirical investigation of students' behavioural intentions to use the online learning course websites, British Journal of Educational Technology, 39(1), 71-83.
4. Chiu, W. M., Hsu, M. H., Sunb, S. Y., Lin, T. C., & Sun, P. C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399-416.
5. Cho, V. (2005). A study of the roles of trusts and risks in information-oriented online legal services using an integrated model. Information & Management, 43(4), 502-520.
6. Cho, V., Cheng, T. C. E., & Hung, H. (2009). Continued usage of technology versus situationalfactors: An empirical analysis. J. Eng. Technol. Manage, 26(4), 264-284.
7. Conner, C. (2002). The influence of personal characteristics, perceived innovation characteristics, attitude, and subjective norm upon intent to adopt internet pharmacy service: An adoption of innovations study. Unpublished PhD Dissertation. University of Texas.
8. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35(8), 982-1003.
9. DeLone, W. H., & McLean, E. R. (2003). The delone and mclean model of information systems success: A tenyear update. Journal of Management Information System, 19(4), 9-30.
10. Dillon, C.L., & Gunawardena, C.N. (1995). A framework for the evaluation of telecommunications-based distance education. in Stewart, D. (Ed.), Selected Papers from the 17th Congress of the International Council for Distance Education, Vol. 2, Open University, Milton Keynes, pp. 348-51.
11. Field, A. (2009). Discovering Statistics Using SPSS. S. Sage, London.
12. Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variable and measurement error. Journal of marketing research, 18(1), 39-50.
13. Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th Edition). McGraw-Hill International Edition.
14. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6rd. ed). Pearson Prentice Hall.
15. Hsu, M. K., Wang, S. W., & Chiu, K. K. (2009). Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners. Computers in Human Behavior, 25(2), 412-420.
16. Hu, P. J. H., Clark, T. H. K., & Ma, W. W. (2003). Examining technology acceptance by school teachers: a longitudinal study. Information and managment, 41(2), 227-241.
17. Karaiskos, D. C. (2009). A predictive model for the acceptance of pervasive information systems by individuals. Unpublished PhD Dissertation, Athens University of Economics and Business.
18. Lee, B. C., Yoon, J., & Lee, I. (2009). Learners' acceptance of e-learning in South Korea: theories and results. Computers & Education, 53(4), 1320-1329.
19. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40(3), 191-204.
20. Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). Surveying instructor and learner attitudes toward e-Learning. Computers and Education, 49(4), 1066-1080.
21. Morgan, G.A, Leech, N.L., Gloeckner, G.W., & Barrett, K.C. (2004). SPSS for introductory statistics use and interpretation. (2rd. ed). Lawrence Erlbaum associates, publishers.
22. Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-Learning. Educational Technology & Society, 12(3), 150-162.
23. Peter, J.P. (1981). Construct validity: a review of basic issues and marketing practices. Journal of Marketing Research, 18(2), 133-45.
24. Pituch, K. A., & Lee, Y. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47(2), 222-224.
25. Reichardt, C. S., & Coleman, S. C. (1995). The criteria for convergent and discriminant validity in a multitraitmultimethod Matrix. Mirlfivariafe Behavioral, 30, 513-538.
26. Rogers, E. (1995). Diffusion of innovations, The Free Press, NY.
27. Saade', R., & Bahli, B., (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line leaning: an extension of the technology acceptance model. Information & Management, 42(2), 317-327.
28. Sánchez-Franco, M. J., Martínez-López, F. J., Martín-Velicia, F. A. (2009). Exploring the impact of individualism and uncertainty avoidance in Web-based electronic learning: An empirical analysis in European higher education. Computers & Education, 52 (3), 588-598.
29. Selim, H. M. (2007). Critical success factors for e-learning acceptance. Confirmatory factor Models. Computers and Education, 49 (2), 2007, 396-413.
30. Teo, T. (2009). Modelling technology acceptance in education: a study of pre-service teachers. Computers & Education, 52(2), 302-312.
31. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization, MIS Quarterly, 15(1), 124-143.
32. Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27(3), 451-481.
33. Wang, W., & Wang, C. (2009). An empirical study of instructor adoption of web-based learning systems. Computers & Education, 53(3), 761-774.
34. Webster, J., & Hackley, P. (1997). Teaching effectiveness in technology-mediated distance learning. The Academy of Management Journal, 40(6), 1282-1309.
35. 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. Int. J. Human-Computer Studies, 59(4), 431-449.
36. Yuen, A. H. K., & Ma, W. W. K. (2008). Exploring teacher acceptance of e-learning technology. Asia-Pasific Journal of Teacher Education, 46, 3, 2008, 229-243.