Technology Acceptance and Future of Internet Banking in Vietnam
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Keywords

Vietnam
perceived usefulness
Internet banking
Technology Acceptance Model
perceived ease of use
customer satisfaction
intention to adopt

How to Cite

LeD. T., NguyenH. P., HoV. N., HoT. P. Y., NguyenQ. T., & LeN. N. A. (2018). Technology Acceptance and Future of Internet Banking in Vietnam. Foresight and STI Governance, 12(2), 36-48. https://doi.org/10.17323/2500-2597.2018.2.36.48

Abstract

The technology acceptance model (TAM) has long been applied to investigate consumer attitudes towards novel solutions and identify incentives that increase their willingness to adopt them. A cumulative tradition has already been developed in this stream of research. Using a modified TAM model, the authors explore factors that affect the intention of Vietnamese banks and their clients to adopt internet banking services. Currently, there is a number of factors hindering the diffusion of internet banking, particularly the underdevelopment of the technological infrastructure, the lack of investment, and the habits of the majority of providers and consumers of services to interact via traditional formats.
The study finds out that the adoption of internet banking could be encouraged by perceived usefulness, perceived ease of use, and, finally customer satisfaction. Among the important factors to ensure these conditions are an advanced customer support system, user-friendly interface, promptness of services, and transparency of banking operations. Among the recommendations put forward by the authors, special attention is given to the requirements for the skills of bank personnel, the need for continuous training, and the establishment of targeted strategic indicators at the public level that facilitate the embeddedness of internet banking in the life of Vietnamese society.

https://doi.org/10.17323/2500-2597.2018.2.36.48
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References

Alsamydai M.J. (2014) Adaptation of the TAM to the use of mobile banking services // International Review of Management and Business Research. Vol. 3. № 4. Р. 2016-2028.

Bauer H.H., Falk T., Hammerschmidt M. (2006) eTransQual: A transaction process-based approach for capturing service quality in online shopping // Journal of Business Research. Vol. 59. № 7. Р. 866-875.

Blut M. (2016) E-Service Quality: Development of a Hierarchical Model // Journal of Retailing. Vol. 92. № 4. P. 500-517.

Bryman A.B. (2007) Business Research Methods. Oxford: Oxford University Press.

Cohen J. (1988) Statistical power analysis for the behavioural sciences. 2nd ed. Hillside Mahwah, NJ: Lawrence Erlbaum.

Davis F.D. (1986) A technology acceptance model for empirically testing new end-user information systems: Theory and results. Cambridge, MA: Massachusetts Institute of Technology.

Davis F.D. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology // MIS Quarterly. Vol. 13. № 3. P. 319-340.

Davis F.D., Bagozzi R.P., Warshaw P.R. (1989) User acceptance of computer technology: A comparison of two theoretical models // Management Science. Vol. 35. № 8. P. 982-1003.

Davison A.C., Hinkey D.V. (1997) Bootstrap methods and their application. Cambridge, UK: Cambridge University Press.

Diamantopoulos A., Siguaw J.A. (2006) Formative versus reflective indicators in measure development: Does the choice of indicators matter? // British Journal of Management. Vol. 17. № 4. P. 263-282.

Foley P., Jayawardhena C. (2000) Changes in the banking sector: The case of Internet banking in the UK // Internet Research. Vol. 10. № 1. P. 19-30.

Fornell C., Larcker D.F. (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error // Journal of Marketing Research. Vol. 18. № 1. Р. 39-50.

Geetha K., Malarvizhi V. (2012) Assessment of a Modified Technology Acceptance Model among E-banking Customers in Coimbatore City // International Journal of Innovation, Management and Technology. Vol. 3. № 2. P. 181-187.

Ghani M.M., Rahi S., Yasin N., Alnaser F.M. (2017) Adoption of Internet Banking: Extending the Role of Technology Acceptance Model (TAM) with E-Customer Service and Customer Satisfaction // World Applied Sciences Journal. Vol. 35. № 9. P. 1918-1929.

Hair J.F., Black W.C., Babin B.J., Anderson R.E., Tatham R.L. (2010) Multivariate Data Analysis. 7th ed. Upper Saddle River, NJ: Prentice Hall.

Hair J.F., Hult G.T., Ringle C.M., Sarstedt M. (2017) A primer on partial least squares structural equation modeling (2nd ed.). Thousand Oaks, CA: SAGE Publications.

Hair J.F., Hult G.T.M., Ringle C., Sarstedt M. (2013) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: SAGE Publications.

Hair J.F., Sarstedt M., Hopkins L., Kuppelwieser G.V. (2014) Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research // European Business Review. Vol. 26. № 2. P. 106-121.

Henseler J., Ringle C.M., Sarstedt M. (2015) A new criterion for assessing discriminant validity in variance-based structural equation modeling // Academy of Marketing Science Journal. Vol. 43. № 1. P. 115-127.

Henseler J., Ringle C.M., Sinkovics R.R. (2009) The use of partial least squares path modeling in international marketing // Advances in International Marketing. Vol. 20. P. 277-320.

Hoyle R.H. (ed.) (1995) Structural Equation Modeling. Thousand Oaks, CA: SAGE Publications.

Laukkanen P., Sinkkonen S., Kivijarvi M., Laukkanen T. (2007) Consumer Resistance and Intention to use Internet Banking Service. Paper presented at the EBRF Conference, Jyvaskyla, Finland, September 25.

Lichtenstein S., Williamson K. (2006) Understanding Consumer Adoption of Internet Banking: An Interpretive Study in the Australian Banking Context // Journal of Electronic Commerce Research. Vol. 7. № 2. P. 50-66.

Lule I., Omwansa T.K., Waema T.M. (2012) Application of Technology Acceptance Model (TAM) in M-Banking Adoption in Kenya // International Journal of Computing and ICT Research. Vol. 6. № 1. P. 31-43.

Martins C., Oliveira T., Popovie A. (2014) Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application // International Journal of Information Management. Vol. 34. № 1. P. 1-13.

Musiime A., Ramadhan M. (2011) Interment banking consumer adoption and customer satisfaction // African Journal of Marketing Management. Vol. 3. № 10. P. 261-269.

O'Connell B. (1996) Australian Banking on the Internet-Fact or Fiction? // The Australian Banker. December. P. 212-214.

Pikkarainen K., Karjaluoto H., Pahnila S. (2004) Consumer acceptance of online banking: An extension of the technology acceptance model // Internet Research. Vol. 14. № 3. P. 224-235.

Polasik K., Wisniewski T. (2009) Empirical Analysis of Internet Banking Adoption in Poland // International Journal of Bank Marketing. Vol. 27. № 1. P. 32-52. DOI: https://doi.org/10.1108/02652320910928227

Quyen D.V. (2018) E-commerce: Much room left for growth // The Saigon Times. № 13 (1381). March 24, 2018.

Sarstedt M., Ringle C.M., Hair J.F. (2017) Partial Least Squares Structural Equation Modeling // Handbook of Market Research / Eds. C. Homburg, M. Klarmann, A. Vomberg. Heidelberg; New York; Dordrecht; London: Springer (print version forthcoming). Режим доступа: http://www.researchgate.net/publication/319669432, дата обращения 02.05.2018. DOI: https://doi.org/10.1007/978-3-319-05542-8_15-1

Sathye M. (1999) Adoption of Internet Banking by Australian Consumers: An Empirical Investigation // International Journal of Bank Marketing. Vol. 17. № 7. P. 324-334.

Sheshunoff A. (2000) Internet banking: An update from the frontlines // ABA Banking Journal. Vol. 92. № 1. P. 51-53.

Venkatesh V., Davis F.D. (1996) A model of the antecedents of perceived ease of use: Development and test // Decision Sciences. Vol. 27. № 3. P. 451-481.

Venkatesh V., Davis F.D. (2000) Theoretical extension of the technology acceptance model: Four longitudinal field studies // Management Science. Vol. 46. № 2. P. 186-204.

Waite K., Harrison T. (2002) Consumer Expectations of Online Information Provided by Bank Websites // Journal of Financial Services Marketing. Vol. 6. № 4. P. 309-322. Режим доступа: , дата обращения 17.04.2018. DOI: https://doi.org/10.1057/palgrave.fsm.4770061

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