Pakistan Journal of Social Sciences

Year: 2010
Volume: 7
Issue: 3
Page No. 231 - 236

Factors Affecting the Adoption of Online Banking: An Integration of Technology Acceptance Model and Theory of Planned Behavior

Authors : Nour-Mohammad Yaghoubi and Ebrahim Bahmani

References

Ajzen, I., 1985. From Intentions to Actions: A Theory of Planned Behavior. In: Action Control: From Cognition to Behavior, Kuhl, J. and J. Beckmann (Eds.)., Springer, New York, USA., ISBN: 978-3-642-69748-7, pp: 11-39.

Ajzen, I., 1991. The theory of planned behavior. Organiz. Behav. Hum. Decis. Process., 50: 179-211.
CrossRef  |  Direct Link  |  

Ajzen, I., 2001. Nature and operation of attitudes. Ann. Rev. Psychol., 52: 27-58.
Direct Link  |  

Ajzen, I., 2002. Perceived behavioral control, self-efficacy, locus of control and the theory of planned behavior. J. Applied Soc. Psychol., 32: 665-683.
CrossRef  |  Direct Link  |  

Bhattacherjee, A., 2000. Acceptance of e-commerce services: The case of electronic brokerages. IEEE Trans. Syst. Man Cybern. A: Syst. Hum., 30: 411-420.
CrossRef  |  Direct Link  |  

Chan, S.C. and M.T. Lu, 2004. Understanding internet banking adoption and use behavior: A Hong Kong perspective. J. Global Inform. Manage., 12: 21-43.
Direct Link  |  

Chau, P.Y.K. and P.J.H. Hu, 2002. Investigating healthcare professionals' decisions to accept telemedicine technology: An empirical test of competing theories. Inform. Manage., 39: 297-311.
CrossRef  |  Direct Link  |  

Chen, C.D., Y.W. Fan and C.K. Farn, 2007. Prediction electronic toll collection service adoption: integration of the technology acceptance model and the theory of planned behavior. Transport Res. Part C: Emerg. Technol., 15: 300-311.
CrossRef  |  

Cheng, T.C.E., D.Y.C. Lam and A.C.L. Yeung, 2006. Adoption of internet banking: An empirical study in Hong Kong. Decis. Support Syst., 42: 1558-1572.
CrossRef  |  

Davis, F.D., 1986. A technology acceptance model for empirically testing new end-user information systems: Theory and results. Ph.D. Thesis, Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA., USA.

Davis, F.D., 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart., 13: 319-340.
CrossRef  |  Direct Link  |  

Davis, F.D., R.P. Bagozzi and P.R. Warshaw, 1989. User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci., 35: 982-1003.
CrossRef  |  Direct Link  |  

Fishbein, M. and I. Ajzen, 1975. Belief, Attitudes, Intention and Behavior: An Introduction to Theory and Research. Addision-Wasely, Reading, MA.

Jackson, C.M., S. Chow and R.A. Leitch, 1997. Toward an understanding of the behavioural intentions to use an information system. Decis. Sci., 28: 357-389.
CrossRef  |  Direct Link  |  

Joreskog, K.G. and D. Sorbom, 1993. LISREL 8: Structural Equation Modeling with SIMPLIS Command Language. Scientific Software International Inc., Chicago, IL., ISBN-10: 0-89498-033-5, pp: 1-221.

Kalakota, R. and A.B. Whinston, 1997. Electronic Commerce: A Manager`s Guide. Addison Wesley, Reading, MA.

Kuisma, T., T. Laukkanen and M. Hiltunen, 2007. Mapping the reasons for resistance to internet banking: A eans-end approach. Int. J. Inform. Manage., 27: 75-85.
CrossRef  |  

Liao, S., Y.P. Shao, H. Way and A. Chen, 1999. The adoption of virtual banking: An empirical study. Int. J. Inform. Manage., 19: 63-74.
Direct Link  |  

Littler, D. and D. Melanthiou, 2006. Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: The case of internet banking. J. Retail. Consum. Serv., 13: 431-443.
CrossRef  |  

Mathieson, K., 1991. Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Inform. Syst. Res., 2: 173-191.
CrossRef  |  

Pikkarainen, T., K. Pikkarainen, H. Karjaluoto and S. Pahnila, 2004. Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Res., 14: 224-235.
CrossRef  |  Direct Link  |  

Saga, V.L. and R.W. Zmud, 1994. The Nature and Determinants of IT Acceptance, Routinization and Infusion. In: Diffusion, Transfer and Implementation of Information Technology, Levine, L. (Ed.). Vol. A-45, North-Holland, Amsterdam, pp: 67-86.

Taylor, S. and P.A. Todd, 1995. Understanding information technology usage: A test of competing models. Inform. Syst. Res., 6: 144-176.
CrossRef  |  Direct Link  |  

Venkatesh, V., 1999. Creation of favorable user perceptions: Exploring the role of intrinsic motivation. MIS Q., 23: 239-260.
Direct Link  |  

Venkatesh, V., M.G. Morris and P.L. Ackerman, 2000. A longitudinal field investigation of gender differences in individual technology adoption decision making processes. Org. Behav. Hum. Decision Process., 83: 33-60.
Direct Link  |  

Wu, I.L. and J.L. Chen, 2005. An extension of trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. Int. J. Hum. Comput. Stud., 62: 784-808.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved