EXTENDING TECHNOLOGY ACCEPTANCE MODEL (TAM) WITH THE THEORY OF TECHNOLOGY READINESS
Öz
Technological developments provide numerous advantages for users, while competition conditions, investment costs, and consumer expectations make it difficult for manufacturers to hold on. Thus, research in the field of technology acceptance and dissemination has become more precious and is carefully followed not only by academics but also by the practice community. It has no sign that approved studies on integrating Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) variables in one context and explained each other in the way of characteristics of them. In this study, it was investigated elaborately mentioned circumstances for using online attendance systems. The survey sent to 389 scholars located seven universities in Turkey. The core process for this study is exploring the Multiple Linear Regression (MLR) test. Consequently, significant combination of TAM and TRI variables and reveals the high predictive performance of TAM and TRI constructs together. Research model has been validated and found statistically significant and reached 58,6% explanation rate for Behavioral Intention.
Anahtar Kelimeler
Kaynakça
- Ajzen, I. and Fishbein, M. (1977). Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical Research. Psychological Bulletin, 84(5), 888-918.
- Badri, M., Al Rashedi, A., Yang, G., Mohaidat, J., & Al Hammadi, A. (2014). Technology Readiness of School Teachers: An Empirical Study of Measurement and Segmentation. Journal of In-formation Technology Education Research, 13, 257-275.
- Davis, F. (1986). A Technology Acceptance Model for Empirically Testing New End-User Infor-mation Systems. Doctoral Thesis. MIT Sloan School of Management, Cambridge MA.
- Davis, F. (1989) Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
- Davis, F. D. and Venkatesh, V. (1996). A Critical Assessment of Potential Measurement Biases in the Technology Acceptance Model: Three Experiments. International Journal of Human-Computer Studies, 45(1), 19-45.
- Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
- Fabrigar, L.R., Wegener, D.T., MacCallum, R.C. and Strahan, E.J. (1999). Evaluating the Use of Ex-ploratory Factor Analysis in Psychological Research. Psychological Methods. 4(3): 272-299.
- Field, A. (2009). Discovering Statistics Using SPSS (3rd ed). Thousand Oaks, California: SAGE Pub.
- Fishbein, M. and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, Massachusetts: Addison Wesley.
- Frost, J. (2017). Multicollinearity in Regression Analysis: Problems, Detection, and Solutions. Re-trieved from https://statisticsbyjim.com/regression/multicollinearity-in-regression-analysis/, Accessed date: 09 March 2020.