Teachers' intention to teach financial literacy in Singapore: A path analysis of an extended Theory of Planned Behaviour (TPB)

Asia-Pacific Education Researcher

Volumn 20, Issue 2, 2011, Pages 410-419

  Teo, Timothy ^a   Koh, Noi Keng ^a   Lee, Chwee Beng ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Behavioural control Singapore; Financial literacy; Intentions to teach; Theory of Planned Behaviour

Indexed keywords

EID: 80052518271     PISSN: 01195646     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
2. Arbuckle, J. L. (2006). AMOS, version 7.0 [computer program]. Chicago, IL: SPSS.
3. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 55(8), 982-1003.
4. DeVellis, R. F. (2003). Scale development: Theory and applications (2nd ed.). Thousand Oaks, CA: Sage.
5. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intension and behavior: An introduction to theory and research. Reading, MA: Addison Wesley.
6. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 48, 39-50.
7. Groves, M., & Zemel, P. (2000). Instructional technology adoption in higher education: An action research case study. International Journal of Instructional Media, 27(1), 57-63.
8. Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice-Hall International.
9. Hartwick, J., & Barki (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465.
10. Hill, T, Smith, N. D., & Mann, M. F. (1986). Communicating innovations: Convincing computer phobics to adopt innovative technologies. Advances in Consumer Research, 13, 419-422.
11. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
12. Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. M. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-305.
13. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford Press.
14. Lau, A. Yen, J., & Chau, P. Y. K. (2001). Adoption of on-line trading in the Hong Kong financial market. Journal of Electronic Commerce Research, 2(2), 58-65.
15. Lim, C. P., & Khine, M. S. (2006). Managing teachers' barriers to ICT integration in Singapore schools. Journal of Technology and Teacher Education, 14(1), 97-125.
16. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 173-191.
17. Ndubisi, N. O., Gupta, O. K., & Ndubisi, G. C. (2005). The moguls model of computing; Integrating the moderating impact of users' persona into the technology acceptance model. Journal of Global Information Technology Management, 8(1):27-47.
18. th ed.) New York, NY: Free Press.
19. Sherry, L. (1998). An integrated technology adoption and diffusion model. International Journal of Educational Telecommunications, 4(2), 113-145.
20. Sparks, P., Gothrie, C. A., & Shepherd, R. (1997). The dimensional structure of the perceived behavioral control construct. Journal of Applied Social Psychology, 27, 418-438.
21. Sjazna, B. (1994). Software evaluation and choice predictive validation of the technology acceptance instrument. MIS Quarterly, 18, 319-324.
22. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(4), 144-176. (Pubitemid 126102974)
23. Teo, T. (2009). Evaluating the intention to use technology among trainee teachers using the Technology Acceptance Model: A structural equation modeling approach. International Journal of Technology in Teaching and Learning, 5(2), 106-118
24. Teo, T. (2010). A path analysis of pre-service teachers' attitudes to computer use: Applying and extending the Technology Acceptance Model in an educational context. Interactive Learning Environments, 18(1), 65-79.
25. Teo, T., & van Schaik, P. (2009). Understanding technology acceptance among pre-service teachers: A structuralequation modeling approach. The Asia-Pacific Education Researcher, 18(1), 47-66.
26. Teo, T., Wong, S. L., & Chai, C. S. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: an application of the Technology Acceptance Model (TAM). Journal of Educational Technology and Society, 11(4), 265-280.
27. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 124-143.
28. Triandis, H. C. (1977). Interpersonal behavior. Monterey, CA: Brooks/Cole.