A STRUCTURAL EQUATION MODELING OF INTERNET BANKING USAGE IN MALAYSIA

Authors

  • Ilham Sentosa Limkokwing University of Creative Technology, Malaysia
  • Chee Wei Ming Limkokwing University of Creative Technology, Malaysia
  • Bambang Bemby Soebyakto Sriwijaya University, Indonesia.
  • Nik Kamariah Nik Mat Universiti Utara Malaysia Malaysia.

Keywords:

Internet Banking, Technology Acceptance Model, Structural Equation Modeling

Abstract

Internet banking is a contemporary trend amongst financial services worldwide. However, the level of acceptance among consumers is unknown. This study intends to examine the determinants of internet usage intention in banks using Technology Acceptance Model (TAM) and exploring the mediating effect of perceived usefulness, perceived ease of use and perceived credibility on the relationship between self-efficacy and intention. The exogenous variable is self-efficacy and the mediators are perceived ease of use, perceived usefulness and perceived credibility while endogenous variables is intention of banking internet usage. Using structural equation modeling (SEM) analysis method, the results show that self-efficacy has significant and positive direct impact on perceived usefulness, perceived ease of use and perceived credibility while two variables perceived usefulness and perceived ease of use have direct significant positive influence on intention. Perceived credibility has a insignificant direct impact intention of internet banking usage.  Perceived usefulness and perceived ease of use are partial mediators while perceived credibility is a full mediator. In general the use of TAM in internet banking usage intention is substantiated in this study.

Downloads

Download data is not yet available.

References

Abdullah, A. H., Sentosa, I. (2011). Human Resource Competencies Perceived by Malaysian Human Resource Practitioners and Consultants. International Journal of Current Research, Vol.3, Issue.10,PP.099-106, September 2011.

Ahmad Nasir Mohd Zin & Zahri Yunos (2005). How to make online banking secure. Techcentral .com.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.

Ajzen, I. (1985), "From intentions to actions: a theory of planned behavior", in Kuhl, J., Beckmann, J. (Eds),Action Control: From Cognition to Behavior, Springer-Verlag, New York, NY, pp.11-39.

Agarwal, R. & Prasad, J. (1999), “Are individual differences germane to the acceptance of new information technologies?”, Decision Sciences, Vol. 30 No. 2, pp. 361-91.

Bandura, A. (1977). Self-efficacy:Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.

Bandura, A. (1997). Self-efficacy: The exercise of control. New York:W.H. Freeman.

Bandura, A. (1982). Self-efficacy mechanisms in human agency.American Psychologist, 37, 122-147

Bagozzi, R.P. and Y. Yi. 1988. "On the evaluation of structural equation models." Journal of the Academy of Marketing Science 16 74-94

Bradley L and Stewart K (2003), “A delphi study of internet banking”, Journal of Marketing Intelligence & Planning 21.5. 272-281.

Compeau, D., & Higgins, C. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19, 189-211.

Compeau, D., & Higgins, C. (1999). Social Cognitive Theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23, 145-158.

Compeau, D. R., & Higgins, C. A. 1995. “Application of social cognitive theory to training for computer skills”. Information Systems Research, 6(2): 118-143.

Davis, L. D., & Davis, D. F. (1990). “The effect of training techniques and personal characteristics on training end-users of information systems”. Journal of Management Information Systems, 7(2), 93-110.

Davis, S. A., & Bostrom, R. P. (1993). Training end users: An experimental investigation of the roles of the computer interface and training methods. MIS Quarterly, 17(1), 61-85.

Davis, F.D. (1989) “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS quarterly, Vol. 13 No 3, pp 318-39.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.

Doll, W.J., Hendrickson, A. and Deng, X. (1998), “Using Davis’s perceived usefulness and ease-of-use instruments for decision making: a confirmatory and multi-group invariance analysis”, Decision Science, Vol. 29 No. 4, pp. 839-69.

Enders A, Konig A, Jelassi T and Hungenberg (2006), The Relativity of Disruption: E-Banking As A Sustaining Innovation in The Banking Industry, Journal of Electronic Commerce Research 7,2. 67-78

Eriksson K, Kerem K and Nilsson D (2005), “Customer Acceptance of Internet Banking in Estonia”, International Journal of Bank Marketing 23,2. 200-216.

Fishbein, M., Ajzen, I. (1975), Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA, .

Flavian C, Guinnaliu M and Torres E (2005), The Influence of Corporate Image on Consumer Trust: A Comparative Analysis in Traditional Versus Internet Banking, Internet Research Bradford 15,4. 447-451.

Fornell & Larcker (1981), Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 48, 39–50.

Ganesan, S. (1994), “Determinants of long-term orientation in buyer-seller relationships”, Journal of Marketing, Vol. 58 No. 2, pp. 1-19.

Gefen, D., Karahanna, E. and Straub, D.W. (2003), “Trust and TAM in online shopping: an integrated model”, MIS Quarterly, Vol. 27 No. 1, pp. 51-90

Harrison, A.W., Rainer, R.K. Jr (1992), "The influence of individual differences on skill in end-user computing", Journal of Management Information Systems, Vol. 9 No.1, pp.93-111

Hoffman, D.L., Novak, T.P. and Peralta, M. (1999), “Building consumer trust online”, Communications of the ACM, Vol. 42 No. 4, pp. 80-5.

Hong, W., Thong, J.Y.L., Wong, W.M., Tam, K.Y. (2001), "Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics", Journal of Management Information Systems, Vol. 18 No.3, pp.97-124

Hutchinson D and Warren M (2003), “Security for internet banking: a framework”, Journal of Logistic Information Management 16,1. 64-73.

Jackson, C.M., Chow, S., Leitch, R.A. (1997), "Toward an understanding of the behavioral intention to use an information system", Decision Sciences, Vol. 28 No.2, pp.357-89.

Karahanna, E. and Straub, D.W. (1999), “The psychological origins of perceived usefulness and perceived ease-of-use”, Information & Management, Vol. 35 No. 4, pp. 237-50.

Kim, K.K, Prabhakar, B., Kim, B.H (2001),”Initial Trust as a Determinant of the Adoption of Internet Bangking”, available at: http//mri.inha.ac.kr/article/8-1/banking%5D.PDF.,

Levin, T. and Gordon, C. (1989), “Effect of gender and computer experience on attitudes towards computers”, Journal of Educational Computing Research, Vol. 5 No. 1, pp. 69-88.

Liao, S., Shao, Y.P., Wang, H., Chen, A. (1999), “The adoption of virtual banking: an empirical study”, International Journal of Information Management, Vol. 19 No.1, pp.63-74

Lindskold, S. (1978), “Trust development, the GRIT proposal and the effects of conciliatory acts on conflict and cooperation”, Psychological Bulletin,, Vol. 85 No.4, pp.772-93.

Morgan, R.M. Hunt, S.D (1994).”The commitment-trust theory of relationship marketing”, Journal of marketing, 58, 20-38.

Mathieson, K. (1991), "Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior", Information Systems Research, Vol. 2 No.3, pp.173-91.

Milind S, (1999), “Adoption of internet banking by Australian consumers: an empirical investigation, International Journal of Bank Marketing 17.5, 324-334.

Moore, G.C., Benbasat, I. (1991), "Development of instrument to measure the perceptions of adopting an information technology innovation", Information Systems Research, Vol. 2 No.3, pp.192-222.

Nahl, D. (1996). “Affective monitoring of Internet learners: Perceived self-efficacy and success”. Journal of American Society for Information Sciences, 33, 100-109.

Nahl, D. (1997). User-centered assessment of two Web browsers: Errors, perceived self-efficacy, and success. Journal of American Society for Information Sciences, 34, 89-97

Niels P.M (2000), “The Internet and Service Marketing – the Case of Danish Retail Banking, Internet Research: Electronic Networking Application and Policy 10,1. 7-18.

Nejatian, H., Piaralal, S. K., Sentosa, I., Bohari, A. M., (2011). The Influence of Customer Knowledge on CRM Performance of Malaysian ICT Companies: A Structural Equation Modelng Approach, International Journal of Business and Management, Vol.6, No.7;July2011, ISSN 1833-3850 (Print) ISSN 1833-8119 (Online), Canadian Center of Science and Education (CCSE),www.ccsenet.org/ijbm, doi:10.5539/ijbm.v6n7p181.

Nelson O.N and Queenie S (2006), “Customer attitudes, systems characteristics and internet adoption in Malaysia”, Management Research News 29, 1/2. 16-27.

Pavlou, P.A. (2001), “Consumer Intention to adopt electronic commerce – Incorporating Trust and Risk in the Technology Acceptance Model”, in Proceedings of the Diffusion Interest Group in Information Technology Conference (DIGIT2001), Sunday 16 December, New Orleans, LA.

Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). “Central & Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement”. Journal of Consumer Research, 10 (2), 135-146

Saade R.G, Nabebe F and Tan W (2007), “Viability of the technology acceptance model in multimedia learning environments: A Comparative Study”, International Journal of Knowledge and Learning Objects, 3, 175-184.

Sekaran, U (2003), “Research Methods for Business”, New York, Wiley & Sons, Inc

Siriluck R and Marck S (2003), “Barriers to internet banking adoption: a Qualitative Study Among Corporate Customer in Thailand”, International Journal of Bank Marketing 21,6/7, 312-323.

Taylor, S., Todd, P.A. (1995), "Understanding information technology usage: a test of competing models", Information Systems Research, Vol. 6 No.2, pp.144-76.

Venkatesh, V. (1999), “Creation of favorable user perceptions: exploring the role of intrinsic motivation”,MIS Quarterly, Vol. 23 No.2, pp. 239-60.

Venkatesh, V (2000),” Determinants of perceived ease of use: integrating control, motivation and emotion into the technology acceptance model”. Information Systems Research, Vol. 11 No. 4, pp. 342-65.

Wang Y.S, Wang Y.M, Lin H.H and Tang T.I (2003), “Determinants of user acceptance of Internet banking: An empirical study”, International Journal of Service Industry Management 14,5. 501-519.

Downloads

Published

25-08-2021

How to Cite

Ilham Sentosa, Chee Wei Ming, Bambang Bemby Soebyakto, & Nik Kamariah Nik Mat. (2021). A STRUCTURAL EQUATION MODELING OF INTERNET BANKING USAGE IN MALAYSIA. Researchers World - International Refereed Social Sciences Journal, 3(1), 75–86. Retrieved from https://researchersworld.com/index.php/rworld/article/view/393

Issue

Section

Articles