Browse > Article
http://dx.doi.org/10.14400/JDC.2022.20.2.091

A study on the effect of Internet Primary bank users on their intention to switch to financial services: Focusing on K-Bank and Kakao Bank  

Park, YoungGeun (Dept. of Business Administration, Pusan National University)
Ok, SeokJae (Dept. of Business Administration, Pusan National University)
Publication Information
Journal of Digital Convergence / v.20, no.2, 2022 , pp. 91-105 More about this Journal
Abstract
Most of the preceding studies related to Internet Primary banks are studies on laws, regulations, and expected effects of introduction, and studies on financial consumers' intention to switch to financial services are insufficient. Apply to the PPM(Push-Pull-Mooring)theory to find out the factors that influence financial consumers' intention to switch services from commercial banks to Internet Primary banks. A survey was conducted service users, 1st-order and 2nd-order factor analysis were performed using Smart PLS 3.0. As a result, it was confirmed that the Pull, Push and Mooring had a positive (+) effect on the Intention to Switch, and the Mooring, which is a moderating variable, did not have a moderating effect on the Intention to Switch of the Push and the Pull. The scope of application of the PPM theory, which was used in the service conversion research, was extended to Fintech services, and it can provide various practical useful implications, such as the strategy and spread of Internet Primary banks, and it will be used in various studies to study consumer attitudes.
Keywords
PPM Theory; Intention to switch; Kakao Bank; K Bank; Internet Primary Bank;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
연도 인용수 순위
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