DOI QR코드

DOI QR Code

Examining Customers' Intention of Continued Use and Cross-Buying on Internet-Only Banks

  • Annie Tsui (Faculty of Management, Dalhousie University) ;
  • Kyung Young Lee (Faculty of Management, Dalhousie University) ;
  • Paola Gonzalez (Faculty of Management, Dalhousie University) ;
  • Bo Yu (Faculty of Management, Dalhousie University)
  • 투고 : 2023.05.29
  • 심사 : 2023.10.16
  • 발행 : 2024.03.31

초록

Internet-only banks (IOB) refer to financial institutions which provide services entirely through online digital platforms without physical branches. Although IOBs have been around for over 26 years, there is still room for investigating what factors motivate customers to use them continuously and extensively. Therefore, this study aims to examine what factors lead to customers' intention of continued use and cross-buying on IOBs by extending the Post-Acceptance Model of IS Continuance (PAMISC). The result shows that perceived economic benefit and ongoing trust have significant relationships with the intention of continued use and that ongoing trust has significant direct and mediating (via intention of continued use) relationships with the intention of cross-buying. Also, personal innovativeness positively moderates the relationship between ongoing trust and the intention of cross-buying. This study sheds light on the literature on branchless financial services and PAMISC. IOB practitioners should revisit the effectiveness of customers' economic benefits to establish ongoing trust with customers.

키워드

과제정보

This research is conducted based on the first author's thesis for the Master of Science in Business at Dalhousie University, Canada.

참고문헌

  1. Achieva Financial (2018). The History of Online Financial Institutions in Canada. Retrieved September 19, 2018, from https://www.achieva.mb.ca/blog/detail/blog/2018/09/19/the-history-of-online-financial-institutions-in-canada
  2. Aguinis, H., Villamor, I., and Ramani, R. S. (2021). MTurk research: Review and recommendations. Journal of Management, 47(4), 823-837. https://doi.org/10.2308/isys-52021
  3. Aguirre-Urreta, M. I., Marakas, G. M., and Ellis, M. E. (2013). Measurement of composite reliability in research using partial least squares: Some issues and an alternative approach. Data Base for Advances in Information Systems, 44(4), 11-43. https://doi.org/10.1145/2544415.2544417
  4. Ahn, S. J., and Lee, S. H. (2019). The effect of consumers' perceived value on acceptance of an internet-only bank service. Sustainability (Switzerland), 11(17), 1-9. https://doi.org/10.3390/su11174599
  5. Aldas-Manzano, J., Ruiz-Mafe, C., and Sanz-Blas, S. (2009). Exploring individual personality factors as drivers of M-shopping acceptance. Industrial Management & Data Systems, 109(6), 739-757. https://doi.org/10.1108/02635570910968018
  6. Asif, C., Dallerup, K., Hauser, S., Parpia, A., and Taraporevala, Z., (2020). Reshaping retail banking for the next normal. Retrieved Oct 19, 2022, from https://www.mckinsey.com/industries/financial-services/our-insights/reshaping-retail-banking-for-the-next-normal
  7. Asnakew, Z. S. (2020). Customers' continuance intention to use mobile banking: Development and testing of an integrated model. The Review of Socionetwork Strategies, 14(1), 123-146. https://doi.org/10.1007/s12626-020-00060-7
  8. Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214. https://doi.org/10.1016/S0167-9236(01)00111-7
  9. Bhattacherjee, A. (2001b). Understanding information systems continuance: An Expectation-confirmation model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
  10. CFI Team. (2020). Non-Interest Expense - Overview, Components, Types. Retrieved Oct 19, 2022, from https://corporatefinanceinstitute.com/resources/knowledge/accounting/non-interest-expense/
  11. Chan, S. C. (2001). Understanding Adoption and Continual Usage Behaviour Towards Internet Banking Services in Hong Kong (Master's thesis). Lingnan University, Hong Kong. http://dx.doi.org/10.14793/cds_etd.5
  12. Chen, S., D'Silva, D., Packer, F., and Tiwari, S. (2022). Virtual banking and beyond (Issue 120). Retrieved from https://www.bis.org/publ/bppdf/bispap120.pdf
  13. Chen, X., and Li, S. (2017). Understanding continuance intention of mobile payment services: An empirical study. Journal of Computer Information Systems, 57(4), 287-298. https://doi.org/10.1080/08874417.2016.1180649
  14. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
  15. Chin, W. W., Marcolin, B. L., and Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-217. https://doi.org/10.1287/isre.14.2.189.16018
  16. Chmielewski, M., and Kucker, S. C. (2020). An MTurk crisis? Shifts in data quality and the impact on study results. Social Psychological and Personality Science, 11(4), 464-473. https://doi.org/10.1177/1948550619875149
  17. Chung, N., and Kwon, S. J. (2009). Effect of trust level on mobile banking satisfaction: A multi-group analysis of information system success instruments. Behaviour and Information Technology, 28(6), 549-562. https://doi.org/10.1080/01449290802506562
  18. Cohen, J. (2013). Statistical Power Analysis for The Behavioral Sciences. Routledge. https://doi.org/10.4324/9780203771587
  19. Compeau, D. R., and Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 189-211. https://doi.org/10.2307/249688
  20. Cook, K. S., Cheshire, C., Rice, E. R., and Nakagawa, S. (2013). Social exchange theory. In Handbook of social psychology (pp. 61-88). Springer, Dordrecht.
  21. Dandapani, K., and Lawrence, E. R. (2008). Virtual bank failures: An investigation. Managerial Finance, 34(6), 399-412. https://doi.org/10.1108/03074350810872778
  22. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-339. https://doi.org/10.2307/249008
  23. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User Acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  24. DeLone, W. H., and McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748
  25. Dimitriadis, S., and Kyrezis, N. (2010). Linking trust to use intention for technology-enabled bank channels: The role of trusting intentions. Psychology & Marketing, 27(8), 799-820. https://doi.org/10.1002/mar.20358
  26. Effler, G. and Roderick, J. (2022, May 12). Established Direct Banking Brands Flex Their Digital Banking Muscle, According to J. D. Power [Blog Post]. Retrieved from https://www.busines swire.com/news/home/20220512005345/en/Established-Direct-Banking-Brands-Flex-Their-Digital-Banking-Muscle-According-to-J.D.-Power
  27. Eriksson, K., and Nilsson, D. (2007). Determinants of the continued use of self-service technology: The case of Internet banking. Technovation, 27(4), 159-167. https://doi.org/10.1016/j.technovation.2006.11.001
  28. Estrella-Ramon, A., Sanchez-Perez, M., and Swinnen, G. (2016). How customers' offline experience affects the adoption of online banking. Internet Research, 26(5), 1072-1092. https://doi.org/10.1108/IntR-03-2015-0092
  29. Falk, R. F., and Miller, N. B. (1992). A Primer for Soft Modeling. University of Akron Press.
  30. Follmer, D. J., Sperling, R. A., and Suen, H. K. (2017). The role of MTurk in education research: Advantages, issues, and future directions. Educational Researcher, 46(6), 329-334. https://doi.org/10.3102/0013189X17725519
  31. Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
  32. Foroughi, B., Iranmanesh, M., and Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015-1033. https://doi.org/10.1108/JEIM-10-2018-0237
  33. Gefen, D., and 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
  34. Gefen, D., Straub, D., and Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 7. https://doi.org/10.17705/1CAIS.00407
  35. Grabner-Krauter, S., and Kaluscha, E. A. (2003). Empirical research in on-line trust: A review and critical assessment. International Journal of Human Computer Studies, 58(6), 783-812. https://doi.org/10.1016/S1071-5819(03)00043-0
  36. Hair, J. F., Anderson, R. E., Babin, B. J., and Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7).
  37. Hair, J. F., Ringle, C. M., and Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
  38. Hair, J. F., Sarstedt, M., Hopkins, L., and Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128
  39. Henseler, J., Hubona, G., and Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management and Data Systems, 116(1), 2-20. https://doi.org/10.1108/IMDS-09-2015-0382
  40. Hernandez, J. M. C., and Mazzon, J. A. (2007). Adoption of internet banking: Proposition and implementation of an integrated methodology approach. International Journal of Bank Marketing, 25(2), 72-88. https://doi.org/10.1108/02652320710728410
  41. Hoehle, H., Huff, S., and Goode, S. (2012). The role of continuous trust in information systems continuance. Journal of Computer Information Systems, 52(4), 1-9. https://doi.org/10.1080/08874417.2012.11645571
  42. Hong, J., and Lee, Y. (2012). Determinants of cross-buying intentions in banking services in collectivistic culture. International Journal of Bank Marketing, 30(5), 328-358. https://doi.org/10.1108/02652321211247408
  43. Kaabachi, S., Mrad, S. B., and Fiedler, A. (2019). The moderating effect of e-bank structure on French consumers' trust. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-04-2019-0119
  44. Kaabachi, S., Mrad, S. B., and Petrescu, M. (2017). Consumer initial trust toward internet-only banks in France. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-09-2016-0140
  45. Lin, J. (2011). Research on consumer trust and satisfaction in mobile commerce. In International Conference on Management Science and Engineering - Annual Conference Proceedings (pp. 47-51). https://doi.org/10.1109/ICMSE.2011.6069941
  46. Liu, T. C., and Wu, L. W. (2007). Customer retention and cross-buying in the banking industry: An integration of service attributes, satisfaction and trust. Journal of Financial Services Marketing, 12(2), 132-145. https://doi.org/10.1057/palgrave.fsm.4760067
  47. Lee, J. M., and Kim, H. J. (2020). Determinants of adoption and continuance intentions toward Internet-only banks. International Journal of Bank Marketing, 38(4), 843-865. https://doi.org/10.1108/IJBM-07-2019-0269
  48. Lee, K. Y., Sheehan, L., Lee, K., and Chang, Y. (2021). The continuation and recommendation intention of artificial intelligence-based voice assistant systems (AIVAS): The influence of personal traits. Internet Research, 31(5), 1899-1939. https://doi.org/10.1108/INTR-06-2020-0327
  49. Lewis, J. D., and Weigert, A. (1985). Trust as a social reality. Social Forces, 63(4), 967-985. https://doi.org/10.2307/2578601
  50. Li, M. L., Lin, S. P., Chan, Y. H., and Wu, C. H. (2021). Customer involvement facets stimulating customers' intention to use internet-only bank services in China: The extension of perceived risk-value model. Journal of Organizational and End User Computing, 33(5), 1-24. https://doi.org/10.4018/JOEUC.20210901.oa4
  51. Liang, H., Saraf, N., Hu, Q. and Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management. MIS Quarterly, 31(1), 59-87. https://doi.org/10.2307/25148781
  52. Liu, T. C., and Wu, L. W. (2007). Customer retention and cross-buying in the banking industry: An integration of service attributes, satisfaction and trust. Journal of Financial Services Marketing, 12(2), 132-145. https://doi.org/10.1057/palgrave. fsm.4760067
  53. Llewellyn, D. T. (2005). Trust and confidence in financial services: a strategic challenge. Journal of Financial Regulation and Compliance, 13(4), 333-346. https://doi.org/10.1108/EUM0000000007304
  54. Lowry, P. B., D'Arcy, J., Hammer, B., and Moody, G. D. (2016). "Cargo Cult" science in traditional organization and information systems survey research: A case for using nontraditional methods of data collection, including Mechanical Turk and online panels. Journal of Strategic Information Systems, 25(3), 232-240. https://doi.org/10.1016/j.jsis.2016.06.002
  55. Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce?. Internet Research, 24(2), 134-159. https://doi.org/10.1108/IntR-05-2012-0100
  56. MarketWatch, (2023). Bancassurance Market Trends for Future Success 2023-2028. Retrieved April 30, 2023, from https://www.marketwatch.com/pressrelease/bancassurance-market-trends-for-future-success-2023-2028-2023-03-27
  57. Montazemi, A. R., and Qahri-Saremi, H. (2015). Factors affecting adoption of online banking: A meta-analytic structural equation modeling study. Information and Management, 52(2), 210-226. https://doi.org/10.1016/j.im.2014.11.002
  58. Mukerjee, K. (2020). Impact of self-service technologies in retail banking on cross-buying and word-of-mouth. International Journal of Retail and Distribution Management, 48(5), 485-500. https://doi.org/10.1108/IJRDM-08-2019-0261
  59. Oertzen, A. S., and Odekerken-Schroder, G. (2019). Achieving continued usage in online banking: A post-adoption study. International Journal of Bank Marketing, 37(6), 1394-1418. https://doi.org/10.1108/IJBM-09-2018-0239
  60. Ofori, K. S., Boateng, H., Okoe, A. F., and Gvozdanovic, I. (2017). Examining customers' continuance intentions towards internet banking usage. Marketing Intelligence and Planning, 35(6), 756-773. https://doi.org/10.1108/MIP-11-2016-0214
  61. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
  62. Oliveira, T., Thomas, M., Baptista, G., and Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(2016), 404-414. https://doi.org/10.1016/j.chb.2016.03.030
  63. Omololu, E. (2022, June 3). Canada's Best Online Banks for 2022. Retrieved June 20, 2022, from https://www.savvynewcanadians.com/best-onlinebanks-canada/
  64. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
  65. Poromatikul, C., De Maeyer, P., Leelapanyalert, K., and Zaby, S. (2020). Drivers of continuance intention with mobile banking apps. International Journal of Bank Marketing, 38(1), 242-262. https://doi.org/10.1108/IJBM-08-2018-0224
  66. Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). New York: Free Press.
  67. Scotiabank. (2021). Annual Report 2021. Retrieved from https://www.scotiabank.com/content/dam/scotiabank/corporate/quarterly-reports/2021/q4/Annual_Report_2021_AODA_EN.pdf
  68. Shaikh, A. A., and Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142. https://doi.org/10.1016/j.tele.2014.05.003
  69. Shareef, M. A., Baabdullah, A., Dutta, S., Kumar, V., and Dwivedi, Y. K. (2018). Consumer adoption of mobile banking services: An empirical examination of factors according to adoption stages. Journal of Retailing and Consumer Services, 43, 54-67. https://doi.org/10.1016/j.jretconser.2018.03.003
  70. Sharma, R., and Mishra, R. (2014). A review of evolution of theories and models of technology adoption. Indore Management Journal, 6(2), 17-29.
  71. Sharma, S. K., and Sharma, M. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65-75. https://doi.org/10.1016/j.ijinfomgt.2018.09.013
  72. Shergill, G. S., and Li, B. (2005). Internet banking-An empirical investigation of a trust and loyalty model for New Zealand banks. Journal of Internet Commerce, 4(4), 101-118. https://doi.org/10.1300/J179v04n04
  73. Sikdar, P., Kumar, A., and Makkad, M. (2015). Online banking adoption: A factor validation and satisfaction causation study in the context of Indian banking customers. International Journal of Bank Marketing, 33(6), 760-785. https://doi.org/10.1108/IJBM-11-2014-0161
  74. Sun, H. (2012). Understanding user revisions when using information system features: Adaptive system use and triggers. MIS Quarterly, 453-478. https://doi.org/10.2307/41703463
  75. Susanto, A., Chang, Y., and Ha, Y. (2016). Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model. Industrial Management and Data Systems, 116(3), 508-525. https://doi.org/10.1108/IMDS-05-2015-0195
  76. Thakur, R. (2014). What keeps mobile banking customers loyal?. International Journal of Bank Marketing, 32(7), 628-646. https://doi.org/10.1108/IJBM-07-2013-0062
  77. Van Slyke, C., Ilie, V., Lou, H., and Stafford, T. (2007). Perceived critical mass and the adoption of a communication technology. European Journal of Information Systems, 16(3), 270-283. https://doi.org/10.1057/palgrave.ejis.3000680
  78. Vatanasombut, B., Igbaria, M., Stylianou, A. C., and Rodgers, W. (2008). Information systems continuance intention of web-based applications customers: The case of online banking. Information and Management, 45(7), 419-428. https://doi.org/10.1016/j.im.2008.03. 005
  79. Vedadi, A., and Warkentin, M. (2016). Continuance intention on using mobile banking applications: A replication study of information systems continuance model. AIS Transactions on Replication Research, 2(1), 7. https://doi.org/10.17705/1atrr.00014
  80. Verhoef, P. C., Franses, P. H., and Hoekstra, J. C. (2001). The impact of satisfaction and payment equity on cross-buying: A dynamic model for a multi-service provider. Journal of Retailing, 77(3), 359-378. https://doi.org/10.1016/S0022-4359(01)00052-5
  81. Wagle, L., and Biswas, A. (2019). Virtual banking is disrupting Asia's financial services. The United States of America, Retrieved from https://www.ibm.com/thought-leadership/institute-business-value/report/asia-virtual-banking
  82. Yap, K. B., Wong, D. H., Loh, C., and Bak, R. (2010). Offline and online banking-Where to draw the line when building trust in e-banking? International Journal of Bank Marketing, 28(1), 27-46. https://doi.org/10.1108/02652321011013571
  83. Yoon, C., and Lim, D. (2020). An empirical study on factors affecting customers' acceptance of internet-only banks in Korea. Cogent Business and Management, 7(1). https://doi.org/10.1080/23311975.2020.1792259
  84. Yoon, C., and Lim, D. (2021). Customers' intentions to switch to internet-only banks: Perspective of the push-pull-mooring model. Sustainability (Switzerland), 13(14), 1-20. https://doi.org/10.3390/su13148062
  85. Yu, P. L., Balaji, M. S., and Khong, K. W. (2015). Building trust in internet banking: A trustworthiness perspective. Industrial Management and Data Systems, 115(2), 235-252. https://doi.org/10.1108/IMDS-09-2014-0262
  86. Yuan, S., Liu, Y., Yao, R., and Liu, J. (2016). An investigation of users' continuance intention towards mobile banking in China. Information Development, 32(1), 20-34. https://doi.org/10.1177/0266666914522140
  87. Yuan, Y., Lai, F., and Chu, Z. (2019). Continuous usage intention of Internet banking: A commitment-trust model. Information Systems and E-Business Management, 17(1), 1-25. https://doi.org/10.1007/s10257-018-0372-4
  88. Zhang, Y., Chen, X., Liu, X., and Zhu, N. (2018). Exploring trust transfer between internet enterprises and their affiliated internet-only banks: An adoption study of internet-only banks in China. Chinese Management Studies, 12(1), 56-78. https://doi.org/10.1108/CMS-06-2017-0148
  89. Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 21(5), 527-540. https://doi.org/10.1108/10662241111176353
  90. Zhou, T. (2012). Understanding users' initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518-1525. https://doi.org/10.1016/j.chb.2012.03.021
  91. Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091. https://doi.org/10.1016/j.dss.2012.10.034
  92. Zhou, T., Zhang, S., and Ji, B. (2010, May). Exploring the effect of online banking service quality on users' continuance usage. In 2010 2nd International Conference on E-business and Information System Security (pp. 1-4). IEEE.