Abstract
Internet banking is growing faster than other e-commerce sectors and has emerged as an evolution in applied banking technology. This study investigates the factors influencing customer intention regarding Internet banking services in Vietnam using elements of an extended technology acceptance model and the theory of planned behaviors. We use structured equation modeling to evaluate the strength of the hypothesized relationships. The results of this study indicate that the use of Internet banking services in Vietnam may be motivated by a set of specific factors (i.e., perceived usefulness, perceived ease of use, perceived credibility, perceived behavioral control, subjective norms, and attitude toward use). These results are expected to help banks understand the critical factors influencing Internet banking usage and to contribute to the creation of competitive promotional campaigns in Vietnam.
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References
Adams A, Sasse MA (1999) Users are not the enemy. Commun ACM 42:41–46
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, New York
Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50:179–211
Ajzen I (2002) Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. J Appl Soc Psychol 32:665–683
Ajzen I, Fishbein M (1980) Understanding attitudes and predicting social behavior. Prentice-Hall, Englewood Cliffs
Amin H (2007) Internet banking adoption among young intellectuals. J Internet Bank Commer 12(3):1–13
Bentler PM (1990) Comparative fit indexes in structural models. Psychol Bull 107:238–246
Bentler PM, Bonett DG (1980) Significance tests and goodness-of-fit in the analysis of covariance structures. Psychol Bull 88:588–600
Bollen KA (1990) Overall fit in covariance structure models: two types of sample size effects. Psychol Bull 107:256–259
Cheng TCE, Lam DYC, Yeung ACL (2006) Adoption of Internet banking: an empirical study in Hong Kong. Decis Support Syst 42:1558–1572
Cheung C, Lee M (2000) A trust model for internet shopping. In: Proceedings of SCI2000. Orlando, FL, pp 23–26
Chong AYL, Ooi KB, Lin B, Tan BI (2010) Online banking adoption: an empirical analysis. Int J Bank Mark 28(4):267–287
Cronin J (1998) Banking and finance on the internet. Wiley, NY
Daniel E (1999) Provision of electronic banking in the UK and the Republic of Ireland. Int J Bank Mark 17:72–82
Davis FD (1986) A technology acceptance model for empirically testing new end user information systems: theory and results. Unpublished doctoral dissertation. Massachusetts Institute of Technology
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13:318–340
Davis FD, Venkatesh V (1996) A critical assessment of potential measurement biases in the technology acceptance model: three experiments. Int J Human-Computer Stud 145:19–45
Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 35:982–1003
Erl T (2007) SOA: principles of service design. Upper Saddle River, Prentice Hall, NJ
Fishbein M, Ajzen I (1975) Belief, attitude, intention and behavior: an introduction to theory and research. Addison Wesley, Boston
Fusilier M, Durlabhji S (2005) An exploration of student internet use in India. Campus-Wide Information Systems 22(4):233–246
Gefen D, Karahanna E, Straub DW (2003) Inexperience and experience with online stores: the importance of TAM and trust. IEEE Trans Eng Manage 50:307–321
Gerbing DW, Anderson JC (1993) Monte Carlo evaluations of goodness-of-fit indices for structural equation models. In: Bollen KA, Long JS (eds) Testing structural equation models. Sage, Newbury Park
Giakoumis D, Votis K, Tzovaras D (2014) Introducing web service accessibility assessment techniques through a unified quality of service context. SOCA 8(2):159–174
Han SL, Baek S (2004) Antecedents and consequences of service quality in online banking: an application of the SERVQUAL instrument. Adv Consum Res 31:208–214
Hernandez JMC, Mazzon JA (2007) Adoption of Internet banking: proposition and implementation of an integrated methodology approach. Int J Bank Mark 25(2):72–88
Hu L-T, Bentler P (1995) Evaluating model fit. In: Hoyle RH (ed) Structural equation modeling. Concepts, issues, and applications. Sage, London, pp 76–99
Huynh TNT (2007) Developing e-banking service in commercial banks in Vietnam, master thesis, Ho Chi Minh University of Economics, Vietnam
Immonen I, Pakkala D (2014) A survey of methods and approaches for reliable dynamic service compositions. SOCA 8(2):129–158
Jahangir N, Begum N (2008) The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaption in the context of electronic banking. Afr J Bus Manag 2(1):32–40
Khalifa M, Liu V (2001) Satisfaction with Internet-based services: a longitudinal study. J Glob Inf Manag 10:1–14
Lederer AL, Maupin DJ, Sena MP, Zhuang Y (2000) The technology acceptance model and the World Wide Web. Decis Support Syst 29:269–282
Legris P, Ingham J, Gollerette P (2003) Why do people use information technology? A critical review of the technology acceptance model. Inf Manag 40:191–204
Lederer AL, Maupin DJ, Sena MP, Zhuang Y (2002) The technology acceptance model and the World Wide Web. Decis Support Syst 29:269–282
Liao S, Shao Y, Wang H, Chen A (1999) The adoption of virtual banking: an empirical study. Int J Inf Manage 19:63–74
Liao C, Chen J, Yen D (2007) Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: an integrated model. Comput Hum Behav 23:2804–2822
Luarn P, Lin HH (2005) Toward an understanding of the behavioral intention to use mobile banking. Comput Hum Behav 21:873–891
Mathieson K (1991) Predicting user intention: comparing the technology acceptance model with the theory of planned behavior. Inf Syst Res 2:173–191
Messick S (1989) Validity. In: Linn RL (ed) Educational measurement, 3rd edn. Macmillan, New York, pp 13–104
Ngai EWT, Poon JKL, Chan YHC (2006) Empirical examination of the adoption of WebCT using TAM. Comput Educ 48(2):250–267
Nguyen TPT (2008) E-banking quality: a comparison between SERVQUAL model and Gronroos model, master thesis, Ho Chi Minh University of Economics,Vietnam
Olson JR, Boyer KK (2003) Factors influencing the utilization of internet purchasing in small organizations. J Oper Manag 21:225–245
Pijpers G, Bemelmans T, Heemstra F, Montfort K (2001) Senior executives use of information technology. Inf Softw Technol 43:959–971
Porter CE, Donthu N (2006) Using the technology acceptance model to explain how attitude determine Internet usage: the role of perceived access barriers and demographics. J Bus Res 59(8):999–1007
Qureshi T, Zafar M, Khan M (2008) Customer acceptance of online banking in developing economies. J Internet Bank Commer 13(1):1–9
Ranganathan C, Ganapathy S (2002) Key dimensions of business-to-consumer web sites. Inf Manag 39:457–465
Salisbury WD, Pearson RA, Pearson AW, Miller DW (2001) Perceived security and world wide web purchase intention. Ind Manag Data Syst 101(4):165–176
Sathye M (1999) Adoption of Internet banking by Australian consumers: an empirical investigation. Int J Bank Mark 17(7):324–334
Shanka MS (2012) Bank service quality, customer satisfaction and loyalty in ethiopian banking sector. J Bus Adm Manag Sci Res 1:1–9
Shih Y, Fang K (2004) The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Res 14:213–223
Sulieman ISA, Rashid MA, Saad AA (2011) Banking service quality provided by commercial banks and customer satisfaction. Am J Sci Res 27:68–83
Tan M, Teo T (2000) Factors influencing the adoption of Internet banking. J Assoc Inf Syst 1:1–42
Taylor S, Todd P (1995) Understanding information technology usage: a test of competing models. Inf Syst Res 6:144–176
Venkatesh V (2000) Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf Syst Res 6:118–143
Venkatesh V, Davis FD (2000) A thearetical extention of the technology acceptance model: four longitudinal field studies. Manage Sci 46:186–204
Venkatesh V, Morris MG (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Q 24:115–139
Wang YS, Wang YM, Lin HH, Tang TI (2003) Determinants of user acceptance of Internet banking: an empirical study. Int J Serv Ind Manag 14:501–519
Warrington TB, Abgrab NJ, Caldwell HM (2000) Building trust to develop competitive advantage in e-business relationship. Compet Rev 10:160–168
Wu I, Chen J (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
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Lin, FT., Wu, HY. & Tran, T.N.N. Internet banking adoption in a developing country: an empirical study in Vietnam. Inf Syst E-Bus Manage 13, 267–287 (2015). https://doi.org/10.1007/s10257-014-0268-x
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DOI: https://doi.org/10.1007/s10257-014-0268-x