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Nielsen (2005)’s findings that online banking
industry has high opportunity for growth and user
acceptance is the key determinant for the growth. To
increase user acceptance, domestic banking
institutions should emphasise on providing high
level service. To do so, they need to reassess their
business practices to be consistent with the needs
and demands of consumers. The above-mentioned
recommendations are derived from consumers’
demands on OBS; thus, if they are implemented, a
very conducive environment will be created to
provide high level OBS.
5 LIMITATIONS AND FUTURE
STUDIES
Preliminary results of factor analysis of independent
factors and dependent factors show a high construct
validity of 60.71% and 78.93%, respectively. In
addition, the Cronbach’s Alpha coefficients indicate
high internal consistency in the respondents’
answers (with Alpha coefficients greater than 0.60).
Multiple linear regression showed that Performance
Expectancy is one of the most important predictors
of Behaviour Intention to Use OBS, which concurs
with the descriptive statistics results above. Due to
the constraint on the length of paper, the full results
of the factor analysis, multiple linear regression and
the effects of moderating variables such as education
level, income, age, etc. will be examined and
presented in our future papers. The results of this
study are only applicable to Malaysia where all the
subjects are from. However, the study can be
replicated in other countries using the same model
and instrument to identify factors that encourage and
discourage the adoption of OBS in those countries.
ACKNOWLEDGEMENTS
The authors thank Multimedia University for
providing the research grant for this study. The
authors also thank the participants of this research.
Last but not least, the authors thank Ms Christina
H.P. Tong for editing the paper.
REFERENCES
Agarwal, R., Prasad, J. A., 1998. ‘Conceptual and
operational definition of personal innovativeness in
the domain of information technology’, Information
Systems Research, vol. 9, no. 2, pp. 204-215.
Chau, P.Y.K., 1996. ‘An empirical assessment of a
modified technology acceptance model’, Journal of
Management Information Systems, vol. 13, no .2, pp.
185-204.
Compueau, D. R., Higgins, C. A., 1995. ‘Computer self
efficacy: development of a measure and initial test’,
MIS Quarterly, vol. 19, no. 2, pp. 189-211.
Davis, F. D. 1989. ‘Perceived usefulness, perceived ease
of use, and user acceptance of information technology’,
.MIS Quarterly, vol. 13, no. 3, pp. 319-339.
Dillon, A., Morris, M., 1996. User acceptance of new
information technology: theories and models. In
Annual Review of Information Science and
Technology, ed. M. Williams, Information Today,
Medford NJ.
Gefen, D., Silver, M., 1999. ‘Lessons learned from the
successful adoption of an ERP system’, Proceedings
of the 5th international Conference of the Decision
Sciences Institute (DSI), pp. 1054--1057.
Goi, C. L., 2005. ‘E-Banking in Malaysia: Opportunity
and Challenges,’ Journal of Internet Banking and
Commerce, vol. 10, no .3, December 2005.
Hsu, M.H., Chiu, C.M., 2004. ‘Internet self Efficacy and
electronic service acceptance’, Decision Support
Systems, vol. 38 no. 3, pp. 369-381.
Lawson, J., 1998. Security for Intranet and Extranet,
Available at: http://www.llrx.com/extras/security.htm
Lederer, A.L., Maupin, D.J., Sena, M.P., Zhuang, Y.,
2000. ‘The technology acceptance model and the
World Wide Web’, Decision Support Systems, vol. 29,
no. 3, pp. 269-282.
Lichtenstein, S., Williamson, K., 2006. ‘Consumer
adoption of Internet banking’, Journal of Electronic
Commerce Research, vol. 7, no. 2, pp. 50-66
Metzger, M. J., Flanagin, A. J., Zwarun, L., 2003.
‘College student web use, perceptions of information
credibility, and verification behaviour’, Computers
and Education, vol. 41, no .3, pp. 271-290
Nielsen, A. C., 2005. Online Banking Continues Despite
Security Concerns, Available at:
www.acnielsen.com.au/news.asp?newsID=301
Reichheld, F., Schefter, P., 2000. ‘E-Loyalty. Your secret
weapon on the Web’, Harvard Business Review, Jul-
Aug, p.105–113.
Suh, B., Han, I., 2002. ‘Effect of Trust on Customer
Acceptance of Internet Banking’, Electronic
Commerce Research and Applications, vol. 1, no.3-4,
pp. 247-263
Sun, H., 2003. ‘An integrative analysis of TAM: Toward a
deeper understanding of technology acceptance
model’, Proceedings of the 9th American Conference
on Information Systems, Tampa, HL.
Sun, H., Zhang, P., 2004. ‘A methodological analysis of
user technology acceptance’, Proceeding of the 37th
Hawaii International Conference of System Science,
Big Island, HI.
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