An empirical study on factors affecting customers’ acceptance of internet-only banks in Korea

References

• Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–23. https://doi.org/10.1287/isre.9.2.204
   Web of Science ®Google Scholar
• Ahn, S. J., & Lee, S. H. (2019). The effect of consumers’ perceived value on acceptance of an Internet-only bank service. Sustainability, 11(17), 4599. https://doi.org/10.3390/su11174599
   Web of Science ®Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
   Google Scholar
• Bandura, A. (1977). Social learning theory (Vol. 1). Prentice-hall.
   Google Scholar
• Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71–81). Academic Press. https://www.uky.edu/~eushe2/Bandura/Bandura1994EHB.pdf.
   Google Scholar
• Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7-16.
   Google Scholar
• Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211. https://doi.org/10.2307/249688
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
   Web of Science ®Google Scholar
• Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Addison-Wesley.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 5. https://doi.org/10.17705/1CAIS.01605
   Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
   Google Scholar
• Hanafizadeh, P., Keating, B. W., & Khedmatgozar, H. R. (2014). A systematic review of Internet banking adoption. Telematics and Informatics, 31(3), 492–510. https://doi.org/10.1016/j.tele.2013.04.003
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of FinTech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3), 340. https://doi.org/10.3390/sym11030340
   Google Scholar
• Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2(2), 32. https://academicjournals.org/journal/AJBM/article-abstract/1FD799E16398
   Google Scholar
• Kaabachi, S., Mrad, S. B., & Petrescu, M. (2017). Consumer initial trust toward internet-only banks in France. International Journal of Bank Marketing, 35(6), 903–924. https://doi.org/10.1108/IJBM-09-2016-0140
   Web of Science ®Google Scholar
• Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of attitude toward using, perceived usefulness, perceived ease of use and perceived compatibility on intention to use E-marketing. Journal of Management Research, 6(3), 1. https://doi.org/10.5296/jmr.v6i3.5573
   Google Scholar
• Karsten, R., Mitra, A., & Schmidt, D. (2012). Computer self-efficacy: A meta-analysis. Journal of Organizational and End User Computing (JOEUC), 24(4), 54–80. https://doi.org/10.4018/joeuc.2012100104
   Web of Science ®Google Scholar
• Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), 50. https://doi.org/10.17705/1CAIS.01250
   Google Scholar
• Li, D., Chau, P. Y., & Lou, H. (2005). Understanding individual adoption of instant messaging: An empirical investigation. Journal of the Association for Information Systems, 6(4), 5. doi: 10.17705/1jais.00066
   Google Scholar
• Li, D., Chau, P. Y., & Van Slyke, C. (2010). A comparative study of individual acceptance of instant messaging in the US and China: A structural equation modeling approach. Communications of the Association for Information Systems, 26(1), 5. https://doi.org/10.17705/1CAIS.02605
   Google Scholar
• Lou, H., Luo, W., & Strong, D. (2000). Perceived critical mass effect on groupware acceptance. European Journal of Information Systems, 9(2), 91–103. https://doi.org/10.1057/palgrave.ejis.3000358
   Web of Science ®Google Scholar
• Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245–268. https://doi.org/10.1016/j.jsis.2005.07.003
   Web of Science ®Google Scholar
• Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29–39. https://doi.org/10.1016/j.chb.2008.06.002
   Web of Science ®Google Scholar
• Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption. Journal of Enterprise Information Management, 30(2), 263–294. https://doi.org/10.1108/JEIM-10-2015-0094
   Web of Science ®Google Scholar
• Markus, M. L. (1987). Toward a “critical mass” theory of interactive media: Universal access, interdependence and diffusion. Communication Research, 14(5), 491–511. https://doi.org/10.1177/009365087014005003
   Web of Science ®Google Scholar
• Md Nor, K., Pearson, J. M., & Ahmad, A. (2010). Adoption of internet banking theory of the diffusion of innovation. International Journal of Management Studies (IJMS), 17(1), 69–85. http://www.ijms.uum.edu.my/images/pdf/17no1ijms/ijms1715.pdf
   Google Scholar
• 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), 192–222. https://doi.org/10.1287/isre.2.3.192
   Web of Science ®Google Scholar
• Mutahar, A. M., Daud, N. M., Ramayah, T., Putit, L., Isaac, O., & Alrajawy, I. (2016). The role of trialability, awareness, perceived ease of use, and perceived usefulness in determining the perceived value of using mobile banking in Yemen. The 7th international conference postgraduate education (ICPE7) (pp. 884–898), Malaysia. https://www.researchgate.net/profile/Osama_Isaac/publication/316877415_The_Role_of_Trialability_Awareness_Perceived_Ease_of_Use_and_Perceived_Usefulness_in_determining_the_Perceived_Value_of_Using_Mobile_Banking_in_Yemen/links/5915596f0f7e9b70f49c50f5/The-Role-of-Trialability-Awareness-Perceived-Ease-of-Use-and-Perceived-Usefulness-in-determining-the-Perceived-Value-of-Using-Mobile-Banking-in-Yemen.pdf
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
   Google Scholar
• Rouibah, K., & Abbas, H. A. (2012). Effect of personal innovativeness, attachment motivation and social norms on the acceptance of camera mobile phones: An empirical study in an Arab country. International Journal of Handheld Computing Research (IJHCR), 1(4), 41-62.
   Google Scholar
• Safeena, R., Date, H., Hundewale, N., & Kammani, A. (2013). Combination of TAM and TPB in internet banking adoption. International Journal of Computer Theory and Engineering, 5(1), 146. https://doi.org/10.7763/IJCTE.2013.V5.665
   Google Scholar
• Sanchez, G. (2013). PLS Path Modeling with R Trowchez Editions. Berkeley. http://www.gastonsanchez.com/PLS Path Modeling with R.pdf
   Google Scholar
• Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(1), 5. https://doi.org/10.17705/1jais.00005
   Google Scholar
• Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144
   Web of Science ®Google Scholar
• Teo, T. S., Lim, V. K., & Lai, R. Y. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega, 27(1), 25–37. https://doi.org/10.1016/S0305-0483(98)00028-0
   Web of Science ®Google Scholar
• Thatcher, J. B., Zimmer, J. C., Gundlach, M. J., & McKnight, D. H. (2008). Internal and External Dimensions of Computer Self-Efficacy: An Empirical Examination. IEEE Transactions on Engineering Management, 55(4),628-644.
   Web of Science ®Google Scholar
• Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, (1), 28–45. https://doi.org/10.1109/TEM.1982.6447463
   Web of Science ®Google Scholar
• Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704. https://doi.org/10.2307/25148660
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
   Web of Science ®Google Scholar
• Yaghoubi, N. M., & Bahmani, E. (2010). Factors affecting the adoption of online banking: An integration of technology acceptance model and theory of planned behavior. International Journal of Business and Management, 5(9), 159–165. https://doi.org/10.5539/ijbm.v5n9p159
   Google Scholar
• Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & Management, 43(3), 350–363. https://doi.org/10.1016/j.im.2005.08.006
   Web of Science ®Google Scholar
• Yoon, C., Jeong, C., & Rolland, E. (2015). Understanding individual adoption of mobile instant messaging: A multiple perspectives approach. Information Technology and Management, 16(2), 139–151. https://doi.org/10.1007/s10799-014-0202-4
   Web of Science ®Google Scholar
• Zhang, Y., Chen, X., Liu, X., & Zhu, N. (2018). Exploring trust transfer between internet enterprises and their affiliated internet-only banks. Chinese Management Studies, 12(1), 56–78. https://doi.org/10.1108/CMS-06-2017-0148
   Web of Science ®Google Scholar
• Zhou, R., & Feng, C. (2017). Difference between leisure and work contexts: The roles of perceived enjoyment and perceived usefulness in predicting mobile video calling use acceptance. Frontiers in Psychology, 8(350), 1-14. https://doi.org/10.3389/fpsyg.2017.00350
   Web of Science ®Google Scholar
• Zolait, A. H. S., & Sulaiman, A. (2008). Incorporating the innovation attributes introduced by Rogers’ theory into theory of reasoned action: An examination of internet banking adoption in Yemen. Computer and Information Science, 1(1), 36–51. http://www.ccsenet.org/journal/index.php/cis/article/view/1930
   Google Scholar