Application of an extended TAM model for online banking adoption: A study at a Gulf-Region University

Information Resources Management Journal

Volumn 24, Issue 1, 2011, Pages 1-13

  Sundarraj, R P ^a   Manochehri, Nick ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^b QATAR UNIVERSITY   (Qatar)

Author keywords

End user computing; Gulf cooperation countries; Information technology; Online information systems; System acceptance; Technology adoption model; Theory of planned behavior

Indexed keywords

END USER COMPUTING; GULF COOPERATION COUNTRIES; ONLINE INFORMATION SYSTEMS; SYSTEM ACCEPTANCE; TECHNOLOGY ADOPTION MODEL; THEORY OF PLANNED BEHAVIOR;

INFORMATION SYSTEMS; ONLINE SYSTEMS; TEACHING; TECHNOLOGY;

MATHEMATICAL MODELS;

EID: 79954611875     PISSN: 10401628     EISSN: 15337979     Source Type: Journal    
DOI: 10.4018/irmj.2011010101     Document Type: Article

References (37)

1. Adamson, I., & Shine, J. (2003). Extending the New Technology Acceptance Model to Measure the End User Information Systems Satisfaction in a Mandatory Environment: A Bank's Treasury. Technology Analysis & Strategic Management, 15(4), 441-455. (Pubitemid 37396163)
2. Agarwal, R., & Karahanna, E. (1998). On The Multi-Dimensional Nature Of Compatibility Beliefs In Technology Acceptance. In Proceedings of the Annual Meeting of the Diffusion Interest Group in Information Technology (DIGIT), Tulsa, OK (pp. 1-16). Retrieved May 16, 2008, from http://disc-nt. cba.uh.edu/chin/digit98/first.pdf
3. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: cognitive absorption and beliefs about information technology usage. Management Information Systems Quarterly, 24(4), 665-694.
4. Ajzen, I. (1985). From Intention to actions: a theory of planned behavior. In Kuhl, J., & Beckmann, J. (Eds.), Action control: from cognition to behavior (pp. 11-39). New York: Springer-Verlag.
5. Bandura, A. (1982). Self-efficacy mechanism in human agency. The American Psychologist, 37(2), 122-147.
6. Behrens, S., Jamieson, K., Jones, D., & Cranston, M. (2005). Predicting System Success using the Technology Acceptance Model: A Case Study. Paper presented at the 16th Australasian Conference on Information Systems Predicting Success using TAM, Sydney, Australia.
7. Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans, 20(4), 411-420.
8. Chau, P. Y. K., & Hu, P. J. (2001). Information technology acceptance by individual professionals: a model comparison approach. Decision Sciences, 32(4), 699-717.
9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13(3), 319-339.
10. Deane, F., Podd, J., & Henderson, R. (1998). Relationship between self-report and log data estimates of information system usage. Computers in Human Behavior, 14(4), 621-636. (Pubitemid 128425899)
11. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated model. Management Information Systems Quarterly, 27(1), 51-90.
12. Guru, B., Shanmugam, B., Alam, N., & Perera, C. (2003). An evaluation of Internet banking sites in Islamic countries. Journal of Internet Banking and Commerce, 8(2), 3-11.
13. Hill, T., & Lewicki, P. (2006). Statistics. Method and applications: A comprehensive reference for science, industry and data mining. Retrieved May 21, 2008, from http://www.statsoft.com/textbook/ stathome.html
14. Hung, S.-Y., Ku, C.-Y., & Chang, C.-M. (2003). Critical factors of WAP services adoption: an empirical study. Electronic Commerce Research and Applications, 2(1), 42-60.
15. Jarvenpaa, S. L., & Todd, P. A. (1997). Consumer reactions to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59-88.
16. Kleijnen, M., Wetzels, M., & de Ruyter, K. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing, 8(3), 206-217.
17. Liao, S., Shao, Y. P., Wang, H., & Chen, A. (1999). The adoption of virtual banking: an empirical study. International Journal of Information Management, 19(1), 63-74.
18. Mayer, R. J., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734.
19. Migdadi, Y. K. A. (2008). Quantitative Evaluation of the Internet Banking Service Encounter's Quality: Comparative Study between Jordan and the UK Retail Banks. Journal of Internet Banking and Commerce, 13(2), 1-8.
20. Moon, J., & Kim, W. Y. G. (2001). Extending the TAM for World Wide Web Context. Information & Management, 38(4), 217-230. (Pubitemid 33651294)
21. Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-223.
22. Paré, G., & Elam, J. J. (1995). Discretionary use of personal computers by knowledge workers: testing of a social psychological theoretical model. Behaviour & Information Technology, 14(4), 215-228.
23. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-131.
24. Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). New York: Free Press.
25. Straub, D. W. (1989). Validating Instruments in MIS Research. Management Information Systems Quarterly, 13(2), 147-167.
26. Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1(4), 247-263.
27. Sundarraj, R. P., & Wu, J. (2005). Using informationsystems constructs to study online- and telephonebanking technologies. Electronic Commerce Research and Applications, 4(4), 427-443. (Pubitemid 41566195)
28. Tan, M., & Teo, T. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(5), 1-42.
29. Taylor, S., & Todd, P. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176. (Pubitemid 126102974)
30. Teo, T. S. H., & Pok, S. H. (2003). Adoption of WAP-enabled Mobile Phones Among Internet Users. Omega, 31(6), 483-498. (Pubitemid 37325114)
31. Tornatzky, L. G., & Klein, R. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 29(1), 28-45.
32. Van Der Heijden, H. (2004). User acceptance of hedonic information systems. Management Information Systems Quarterly, 28(4), 695-704.
33. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. (Pubitemid 30594361)
34. Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance Of Information Technology: Toward A Unified View. Management Information Systems Quarterly, 27(3), 425-437.
35. Wu, I. L., & Chen, J. L. (2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human-Computer Studies, 62(6), 784-808.
36. Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-729. (Pubitemid 40655116)
37. Zucker, L. G. (1986). Production of trust: institutional source of economic structure, 1840-1920. In Staw, B. M., & Cummings, L. L. (Eds.), Research in Organizational Behavior (pp. 53-111). Greenwich, CT: JAI Press.