1 |
Lee, H. G., & Han, M. S. (2019). An Empirical Study on the Consumer Acceptance of Internet Primary Bank: The Application of UTAUT Model. The Journal of Business Education, 33(1), 59-87.
DOI
|
2 |
Lee, S., & Lee, J. (2020). Why People Adopt the Virtual Bank?-An Empirical Study on Motivational Factors. Journal of Digital Convergence, 18(12), 205-216.
DOI
|
3 |
Moon, B. (1995). Paradigms in migration research: Exploring "moorings" as a schema. Progress in human geography, 19(4), 504-524.
DOI
|
4 |
Choi, H. S., & Yang, S. B. (2016). An empirical study on influencing factors of switching intention from online shopping to webrooming. Journal of Intelligence and Information Systems, 22(1), 19-41.
DOI
|
5 |
Hou, A. C., Chern, C. C., Chen, H. G., & Chen, Y. C. (2011). 'Migrating to a new virtual world': Exploring MMORPG switching through human migration theory. Computers in Human Behavior, 27(5), 1892-1903.
DOI
|
6 |
Lim, B., & Yook, R. (2012). A comparative study on user satisfaction and service quality of mobile commerce service between Korea and China. The Journal of Internet Electronic Commerce Research, 12(4), 335-359.
|
7 |
Reichheld, F. F., & Sasser, W. E. (1990). Zero defeofions: Quoliiy comes to services. Harvard business review, 68(5), 105-111.
|
8 |
Amin, W., Parwani, A. V., Schmandt, L., Mohanty, S. K., Farhat, G., Pople, A. K., ... & Becich, M. J. (2008). National Mesothelioma Virtual Bank: a standard based biospecimen and clinical data resource to enhance translational research. BMC cancer, 8(1), 1-10.
DOI
|
9 |
Kim, S. R. (2017). A Review of Legal and Institutional issues related to the Establishment of an Internet professional bank. Korean Law Association, 17(3), 1-36.
|
10 |
Kim, S. J., & Kim, C. B. (2018). The Effects of the Mobile-banking Characteristics and Internet-only bank Benefits on the Switching Value and the Use Intention. The Journal of the Korea Contents Association, 18(8), 109-117.
DOI
|
11 |
Lattin, J. M., & McAlister, L. (1985). Using a variety-seeking model to identify substitute and complementary relationships among competing products. Journal of Marketing Research, 22(3), 330-339.
DOI
|
12 |
Stimson, R. J., & Minnery, J. (1998). Why people move to the'sun-belt': A case study of long-distance migration to the Gold Coast, Australia. Urban Studies, 35(2), 193-214.
DOI
|
13 |
Kim, N. H., Kim, B. S., Seo, J. H., & Kim, J. K. (2008). A Preferencee Analysis of IT Components for Mobile Banking Service. Journal of Information Technology Services, 7(1), 89-101.
|
14 |
Swaminathan, V., Lepkowska-White, E., and Rao, B.P.(1999), "Browsers or Buyers in Cyberspace? An Investigation of Factors Influencing Electronic Exchange," Journal of Computer-Mediated Communication, 5(2)
|
15 |
Kim, S. S., Lee, C. K., & Klenosky, D. B. (2003). The influence of push and pull factors at Korean national parks. Tourism management, 24(2), 169-180.
DOI
|
16 |
Jeung, E. G., & Park, H. S. (2017). An empirical study on the user acceptance of internet primary bank based on UTAUT2. The e-business studies, 18(3), 75-95.
DOI
|
17 |
Kim, S. H. (2013). Moderating effects of switching cost on the IT service switching intention. The Journal of the Korea Contents Association, 13(10), 452-460.
DOI
|
18 |
Kim, S. J., & Kim, C. B. (2017). A study on the relationships among SNS information characteristics, the characteristics of information provider and the intention to visit the restaurants: Focused on millennials generation. Korea Association of Business Education, 32(4), 279-299.
DOI
|
19 |
Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002). Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of business research, 55(6), 441-450.
DOI
|
20 |
Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of marketing, 56(1), 6-21.
DOI
|
21 |
Kim, J. W. (2010). A Study on The Switching Intention to the Internet Primary Bank affected by Internet Banking Users Satisfaction. Doctoral dissertation. Soongsil University, Seoul.
|
22 |
Financial Supervisory Service. (2015). Plan to Support Convergence of Finance and Technology. Seoul : Financial Supervisory Service.
|
23 |
Parasuraman, A., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. 1988, 64(1), 12-40.
|
24 |
Kim, K., Seo, H., Yu, H., & Choi, J. (2017). A Study on the Factors Affecting Switching Intention of Public Certificate Storage: Focused on Smart Certificate (USIM). Journal of Information Technology Services, 16(1), 99-118.
DOI
|
25 |
Choi, G. B. (2012). An Empirical Study on the Post Acceptance of Mobile Banking Service. The Journal of Internet Electronic Commerce Resarch, 12(3), 1-27.
|
26 |
Han, K. H. (2001). A study on the evolution of mobile business model. The 2X2.
|
27 |
Kim, G., Shin, B., & Lee, H. G. (2006). A study of factors that affect user intentions toward email service switching. Information & Management, 43(7), 884-893.
DOI
|
28 |
Zengyan, C., Yinping, Y., & Lim, J. (2009, January). Cyber migration: An empirical investigation on factors that affect users' switch intentions in social networking sites. In 2009 42nd Hawaii International Conference on System Sciences (pp. 1-11). IEEE.
|
29 |
Baek, T. H., & King, K. W. (2011). Exploring the consequences of brand credibility in services. Journal of Services Marketing.
|
30 |
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
|
31 |
Kwon, H. G., & Lee, M. B. (2018). A study of factors influencing on the intention to use Internet Primary Bank. Journal of the Korea Industrial Information Systems Research, 23(1), 97-108.
DOI
|
32 |
Bae, J. K. (2018). A study on the determinant factors of innovation resistance and innovation acceptance on internet primary bank services: Combining the theories of innovation diffusion and innovation resistance. The e-Business Studies, 19(2), 91-104.
DOI
|
33 |
Park, C, J & Ryu, D, J. (2018). Internet-only Banks: An Introductory Overview. Korean Academic Society Of Business Administration, 47(3), 549-576.
|
34 |
Stokes, M. (2012). Globalization and the politics of world music. In The cultural study of music (pp. 129-138). Routledge.
|
35 |
Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47-57.
DOI
|
36 |
Lee, K., & Kim, S. I. (2018). A Study on the Factors Affecting the reliability of User's Confidence in Korean Internet professional Bank-Focused on Kakao Bank and K Bank. Journal of the Korea Convergence Society, 9(1), 277-282.
DOI
|
37 |
Moon, Y. H. (2017). Factors affecting intention to use Internet Primary Bank: An exploratory difference of demographic characteristics. The Journal of Business Education, 31(6), 95-108.
DOI
|
38 |
Kim, S. H., & Park, T. K. (2017). Acceptance factors of financial consumers on Internet Primary Banks. Journal of Industrial Economics and Business, 30(2), 589-622.
DOI
|
39 |
Carpenter, G. S., & Lehmann, D. R. (1985). A model of marketing mix, brand switching, and competition. Journal of marketing research, 22(3), 318-329.
DOI
|
40 |
Blinn, J. D., Duncan, S. R., & Goodwin, B. (1991). 1990 cost of risk survey: a yardstick for managers. Risk management, 38(2), 46.
|
41 |
Anton, C., Camarero, C., & Carrero, M. (2007). Analysing firms' failures as determinants of consumer switching intentions: The effect of moderating factors. European Journal of Marketing.
|
42 |
Kim, J. K., & Lee, D. H. (2005). A research on information security risk-based antecedents influencing electronic commerce user's trust. Asia pacific journal of information systems, 15(2), 65-96.
|
43 |
J. Y. Yang, J. H. Ahn & C. W. Park. (2006). The effect of perceived risk on the intention to adopt mobile banking services. Journal of Technology Innovation, 14(3), 183-208.
|
44 |
Bansal, H., S., Taylor, S., F., & St. James, Y. (2005). "Migrating" to new service providers: Toward a unifying framework of consumers' switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96-115.
DOI
|
45 |
Keaveney, S. M. (1995). Customer switching behavior in service industries: An exploratory study. Journal of marketing, 59(2), 71-82.
DOI
|
46 |
M. J. Noh. (2011). An effects of perceived risk and value on the trust and use intention of smart phone banking: Mediating effect of the trust. Korean Journal of Business Administration, 24(5), 2599-2615.
|
47 |
Kim, H. J., & Rha, J. Y. (2018). Consumers' adoption and resistance of branchless bank: Non-users perspective. Journal of Consumer Studies, 29(4), 97-118.
DOI
|
48 |
Jung, J. H., & Shin, J. I. (2019). The Effect of Choice Attributes of Internet primary bank on Satisfaction and Behavioral Intention. Journal of The Korea Society of Computer and Information, 24(9), 143-150.
DOI
|
49 |
Jung, J., & Cho, S. O. (2020). Relationship Between Perceived Risk and Continuous Use Intention of Internet Primary Banks: Moderating Effects of Acceptance Factors. Journal of Digital Convergence, 18(8), 133-149.
DOI
|
50 |
Zhang, K. Z., Lee, M. K., Cheung, C. M., & Chen, H. (2009). Understanding the role of gender in bloggers' switching behavior. Decision Support Systems, 47(4), 540-546.
DOI
|
51 |
Diniz, E., Birochi, R., & Pozzebon, M. (2012). Triggers and barriers to financial inclusion: The use of ICT-based branchless banking in an Amazon county. Electronic Commerce Research and Applications, 11(5), 484-494.
DOI
|
52 |
Njite, D., Kim, W. G., & Kim, L. H. (2008). Theorizing consumer switching behavior: A general systems theory approach. Journal of Quality Assurance in Hospitality & Tourism, 9(3), 185-218.
DOI
|
53 |
Kim, D., & Kim, S. (2017). Factors to influence switching intention to Internet-only bank from legacy bank: Focused on financial consumers' asset management. Information Society & Media, 18(1), 105-134.
|
54 |
Lee, J. M. (2018). The effects of consumers' perceived value and network externality on continuous use intention of internet primary bank. Journal of Consumer Studies, 29(4), 139-159.
DOI
|
55 |
Longino, C. F. (1992). The forest and the trees: micro-level considerations in the study of geographic mobility in old age. Elderly migration and population redistribution, 23- 34.
|
56 |
Han, H., & Hyun, S. S. (2013). Image congruence and relationship quality in predicting switching intention: Conspicuousnes of product use as a moderator variable. Journal of Hospitality & Tourism Research, 37(3), 303-329.
DOI
|
57 |
Kwak, N. Y., Yoo, H., & Lee, C. C. (2018). Study on factors affecting financial customer's switching intention to internet only bank: focus on Kakao bank. Journal of Digital Convergence, 16(2), 157-167.
DOI
|
58 |
Gerrard, P., & Cunningham, J. B. (2004). Consumer switching behavior in the Asian banking market. Journal of Services Marketing.
|
59 |
Bitner, M. J. (1990). Evaluating service encounters: the effects of physical surroundings and employee responses. Journal of marketing, 54(2), 69-82.
DOI
|
60 |
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Academic press.
|
61 |
Chiu, H. C., Hsieh, Y. C., Roan, J., Tseng, K. J., & Hsieh, J. K. (2011). The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications, 10(2), 268-277.
DOI
|
62 |
Kim, E., & Park, M. C. (2015). Antecedents of Cross-Channel Free-Riding Intention: The Moderating Effect of Product Categories Using Push-Pull-Mooring Framework. Proceedings of the Korea Society of Management Information Systems, 2015.
|
63 |
Hsieh, J. K., Hsieh, Y. C., Chiu, H. C., & Feng, Y. C. (2012). Post-adoption switching behavior for online service substitutes: A perspective of the push-pull-mooring framework. Computers in Human Behavior, 28(5), 1912-1920.
DOI
|
64 |
Jung, J., Han, H., & Oh, M. (2015). Understanding Customer Switching Behavior in the Airline Industry : A Perspective of the Push-Pull-Mooring Framework. Korean Journal of Hospitality & Tourism, 24(1), 261-280
|
65 |
Lewis, G. J. (1982). Human migration: a geographical perspective. Routledge.
|
66 |
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
DOI
|