ABSTRACT The purpose of this study was to investigate the demand of application of e-wallet in domestic retail industry by examining the needs of adoption of small amount paying method and the reasons for customers’ using of IC stored value card in this industry and aimed at providing suggestions on the e-development of small amount paying methods for domestic retail and banking industries. This study was developed in a way that the model constructs in TAM were adapted to the context of using e-wallets for clinic fees. Scale items on the survey include those measuring perceived usefulness, perceived ease of use, a user's attitude toward using and intention. The questionnaire contains no identifying information about the individual participants. A total of 320 Taipei City Hospital patients’ feedbacks were collected. Results indicate most of the relationships in the proposed model are statistically significant and in the predicted directions. Each observed variables influence with two ways: direct effect and indirect effect, and the total effect is the sum of direct effect and indirect effect. The Main effect of most of these observed variables is direct effect, but the information technology experience with the perceived usefulness. In this study, it could be finding that the perceived usefulness, the perceiver ease of use is positively associated with users’ attitude toward using, and the perceiver ease of use is positively associated with the perceived usefulness. It means the useful and easily operation of payment clinic fees with e-wallet products (such as Taipei Easy Card) is very important for the users. Besides, the easier for e-wallet using, the more people think it is usefulness. This suggestion is the same as the point at issue of Davis . The users’ attitude toward using is positively associated with the
Cite this paper
Lai, Y. (2012) The study of technology acceptance for e-wallets application of clinic fees payment. Health, 4, 1082-1087. doi: 10.4236/health.2012.411165.
 Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989) User acceptance of computer technology: Comparison of two theoretical models. Management Science, 35, 982-1003.
 Bank for International Set-tlements (1996) Implication for central banks of the development of electronic money.
 Ajzen, I. and Fishbein, M. (1980) Understanding attitudes and predicting social behavior. Prentice-Hall, Englewood Cliffs.
 Mathieson, K. (1991) Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 173-191.
 Szajna, B. (1996) Empirical evaluation of the revised technology acceptance model. Management Science, 42, 85-92. doi:10.1287/mnsc.42.1.85
 Gefen, D., Karahanna, E. and Straub, D.W. (2003) Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27, 51-90.
 Hu, L.T. and Bentler, P.M. (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. doi:10.1080/10705519909540118
 Peter, P.J. and Olson, J.C. (1990) Consumer behavior and marketing strategy. 2nd Edition, R. R. Donnelley, Chicago.
 Downing, R.E., Moore, J.L. and Brown, S.W. (2005) The effects and interaction of spatial visualization and domain expertise on information seeking. Computers in Human Behavior, 21, 195-209. doi:10.1016/j.chb.2004.03.040
 Thompson, R.L., Higgins, C.A. and Howell, J.M. (1994) Personal computing: Towards a conceptual model of utilization. MIS Quarterly, 15, 125-142.
 Nunnally, J.C. (1978) Psychometric theory. McGraw Hill, New York.
 Bollen, K.A. (1989) Structural equations with latent variables. Wiley, New York.