Exploring Antecedents of Behavior Intention to Use Internet Banking in Korea:: Adoption Perspective

International Journal of E-Adoption

Volumn 1, Issue 3, 2009, Pages 30-47

  Lee, Kun Chang ^a   Chung, Namho ^b  

^a Sungkyunkwan University   (South Korea)

^b Kyung Hee University   (South Korea)

Author keywords

Adoption; Behavior Intention; Internet Banking; Korea; Self Efficacy; Technology Acceptance Model

Indexed keywords

EID: 85001799563     PISSN: 19379633     EISSN: 19379641     Source Type: Journal    
DOI: 10.4018/jea.2009092902     Document Type: Article

References (48)

1. Adams D. A., Nelson R. R., Todd P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227–247. 10.2307/249577
2. Agarwal R., Karahanna E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694. 10.2307/3250951
3. Bandura A. (1977). Self-efficacy: Toward a unifying theory of behavioral vhange. Psychological Review, 84, 191–215. 10.1037/0033–295X.84.2.191 847061
4. Bandura A. (1982). Self-efficacy mechanism in human agency. The American Psychologist, 37(2), 122–147. 10.1037/0003–066X.37.2.122
5. Bhattacherjee A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans, 30(4), 411–420. 10.1109/3468.852435
6. Bhattacherjee A., Pregmkumar G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254.
7. Burnham, B. (1996). The Internet's impact on retail banking (Booz-Allen Hamilton 3rd Quarter Rep.). Retrieved from http://www.strategy-business.com/briefs/96301/
8. Chan S. C., Lu M. T. (2004). Understanding internet banking adoption and use behavior: A Hong Kong perspective. Journal of Global Information Management, 12(2), 21–43.
9. Cheng T. C. E., Lam D. Y. C., Yeung A. C. L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558–1572. 10.1016/j.dss.2006.01.002
10. Cheung W., Chang M. K., Lai V. S. (2000). Prediction of internet and world wide web usage at work: A test of an extended Triandis model. Decision Support Systems, 30, 83–100. 10.1016/S0167–9236(00)00125–1
11. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Mahway, NJ: Lawrence Erlbaum.
12. Compeau D. R., Higgins C. A. (1995). Computer self-effcacy: Development of a measure and initial test. MIS Quarterly, 18(2), 189–211. 10.2307/249688
13. Davis F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339. 10.2307/249008
14. Davis F. D., Bagozzi R. P., Warshaw P. R. (1989). User acceptance of computer technology: A comparison of two theoretical model. Management Science, 35(8), 982–1003. 10.1287/mnsc.35.8.982
15. Dewar R. D., Dutton J. E. (1986). The adoption of radical and incremental innovations: An empirical analysis. Management Science, 32(11), 1422–1433. 10.1287/mnsc.32.11.1422
16. Ebusiness Engineering. (2003). Making sense of US B2C e-commerce findings. Retrieved from http://www.ebusinessteam.com/
17. Fornell C., Bookstein F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. JMR, Journal of Marketing Research, 19, 440–452. 10.2307/3151718
18. Gefen D., Karahanna E., Straub D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
19. Hackbarth G., Grover V., Mun Y. Y. (2003). Computer playfulness and anxiety: Positive and negative mediators of the system experience effect on perceived ease of use. Information & Management, 40(3), 221–232. 10.1016/S0378–7206(02)00006-X
20. Hoppe, R., Newman, P., & Mugera, P. (2001). Factors affecting the adoption of internet banking in South Africa: A comparative study (University of Cape Town working paper). Cape Town, South Africa: University of Cape Town.
21. Horst M., Kuttschreuter M., Gutteling J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23, 1838–1852. 10.1016/j.chb.2005.11.003
22. Hung S. Y. (2003). Expert versus novice use of the executive support systems: An empirical study. Information & Management, 40(3), 177–189. 10.1016/S0378–7206(02)00003–4
23. Igbaria M., Zinatelli N., Cragg P., Cavaye A. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279–305. 10.2307/249498
24. Kim G., Shin B., Lee H. G. (in press). Understanding dynamics between initial trust and usage intention of mobile banking. Information Systems Journal.
25. Korea Institute for Electronic Commerce. (2005). Korea e-business white paper. Retrieved from http://www.kiec.or.kr
26. Koufaris M., Kambil A., LaBarbera P. A. (2002). Consumer behavior in web-based commerce: An empirical study. International Journal of Electronic Commerce, 6(2), 115–138.
27. Lai V. S., Li H. (2005). Technology acceptance model for internet banking: An invariance analysis. Information & Management, 42(2), 373–386. 10.1016/j.im.2004.01.007
28. Laukkanen T. (2007). Internet vs mobile banking: Comparing customer value perceptions. Business Process Management, 13(6), 788–797. 10.1108/14637150710834550
29. Lederer A. L., Mendelow A. L. (1988). Convincing top management of the strategic potential of information systems. MIS Quarterly, 12(4), 526–536. 10.2307/249127
30. Legris P., Ingham J., Collerette P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204. 10.1016/S0378–7206(01)00143–4
31. Liao Z., Cheung M. T. (2002). Internet-based e-banking and consumer attitudes: An empirical study. Information & Management, 39, 283–295. 10.1016/S0378–7206(01)00097–0
32. Malhotra N., Kim S., Agarwal J. (2004). User's information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. 10.1287/isre.1040.0032
33. Mathieson K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191. 10.1287/isre.2.3.173
34. Moutinho L., Smith A. (2000). Modeling bank customer satisfaction through mediation of attitudes towards human and automated banking. International Journal of Bank Marketing, 18(3), 124–134. 10.1108/02652320010339699
35. Pavlou P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 69–103.
36. Pavlou P. A., Gefen D. (2004). Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37–59. 10.1287/isre.1040.0015
37. Sathye M. (1999). Adoption of internet banking by Australian consumers: An empirical investigation. International Journal of Bank Marketing, 17(7), 324–334. 10.1108/02652329910305689
38. Shih Y. Y. (2006). The effect of computer self-efficacy on enterprise resource planning usage. Behaviour & Information Technology, 25(5), 407–411. 10.1080/01449290500168103
39. Suh B., Han I. (2003). The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of Electronic Commerce, 7(3), 135–161.
40. Tan M., Teo T. S. H. (2000). Factors influencing the adoption of internet banking. Journal of Association for Information Systems, 1(5), 1–42.
41. Taylor S., Todd P. A. (1995). Assessing IT usage: The role of prior experiences. MIS Quarterly, 19(3), 561–570. 10.2307/249633
42. Thatcher J. B., Perrewe P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), 381–396. 10.2307/4132314
43. Torkzadeh G., Chang J., Demirhan D. (2006). A contingency model of computer and Internet self-efficacy. Information & Management, 43(4), 541–550. 10.1016/j.im.2006.02.001
44. Triandis, H. C. (1979). Values, attitudes and interpersonal behavior. In Proceedings of the Nebraska Symposium on Motivation, Beliefs, Attitudes and Values, Lincoln, NE (pp. 195–259). University of Nebraska Press.
45. Venkatesh V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. 10.1287/isre.11.4.342.11872
46. Venkatesh V., Davis F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. 10.1287/mnsc.46.2.186.11926
47. 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.
48. Zmud R. W. (1982). Diffusion of modern software practices: Influence of centralization and formalization. Management Science, 28(12), 1421–1431. 10.1287/mnsc.28.12.1421