Customer Adoption of Virtual Bank In Hong Kong Using UTAUT Model Integrating Perceived Risk, Trust and Price Value

Authors

  • Wing Fung Raymond Savio Chan SBS Swiss Business School Author

DOI:

https://doi.org/10.70301/

Keywords:

Virtual Banks, Digital Banks, Digital-only Bank, UTAUT, Perceived Risk, Turst, Price Value

Abstract

Purpose - This research studied the driving factors for the customer adoption of virtual banks in Hong Kong using the UTAUT model, integrating perceived risk, trust, and price value. In addition, the mediation effect of trust on perceived risk on customer adoption was examined.

Design/method/approach - In this research, the sequential explanatory mixed methods design was employed to integrate the strengths of both quantitative and qualitative methods. A quantitative survey was conducted with 644 citizens in Hong Kong via an online platform, and a physical survey was used to collect the data. The survey data were then analyzed to test the hypotheses. PLS-SEM statistical procedures were used to come up with the inferential statistics. These quantitative research findings were triangulated with a case study interviewing 15 experienced banking professionals and 13 end users. A semi-structural open-ended questionnaire was published on the online survey platform Qualtrics and then distributed to the participants by an anonymous link.

Findings - The quantitative survey results showed that performance expectancy, perceived risk, trust, and price value significantly drove the behavioral intention to use virtual banks. The complementary mediation effect was suggested between perceived risk and trust. An important finding was that effort expectancy was not a significant factor in behavioral intention to use virtual banks. Six themes were grounded from the interview data that validate and triangulate the survey results related to the hypothesis.

Practical implications - The research discovers which levers have the most influence on user adoption for the virtual banks’ management. Customer acquisition and promotion efforts can be designed in more precise and targeted ways. The same insights can be used in omnichannel strategies and defensive tactics for incumbent banks,. For regulators, the results related to perceived risks and trust can be used to guide public communications, consumer policies, and other regulatory initiatives.

Original/Value - This research may be the first of its kind to use the sequential explanatory mixed methods design with quantitative research first and then qualitative research to study this topic. It is also the first study that integrated the UTAUT model with perceived risk, trust, and price value to study virtual banks in Hong Kong.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Akhtar, S., Irfan, M., Kanwal, S., & Pitafi, A. H. (2019). Analysing UTAUT with trust toward mobile banking adoption in China and Pakistan: Extending with the effect of power distance and uncertainty avoidance. International Journal of Financial Innovation in Banking, 2(3), 183-207. https://doi.org/10.1504/IJFIB.2019.102307

Akhtar, S., Irfan, M., Sarwar, A., Asma, & Rashid, Q. U. A. (2019). Factors influencing individuals’ intention to adopt mobile banking in China and Pakistan: The moderating role of cultural values. Journal of Public Affairs, 19(1), e1884. https://doi.org/10.1002/pa.1884

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118-139.

Aldammagh, Z., Abdeljawad, R., & Obaid, T. (2021). Predicting Mobile Banking Adoption: An Integration of Tam and Tpb with Trust and Perceived Risk. Financial Internet Quarterly “e-Finanse,” 17(3), 35–46. https://doi.org/10.2478/fiqf-2021-0017

Alkhowaiter, W. A. (2020). Digital payment and banking adoption research in Gulf countries: A systematic literature review. International Journal of Information Management, 53, 102102.

Asfaw, H. A. (2015). Financial inclusion through mobile banking: Challenges and prospects. Research Journal of Finance and Accounting, 6(5), 98–104.

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 3.

Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23–28), 2.

Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430.

Baptista, G., & Oliveira, T. (2016). A weight and a meta-analysis on mobile banking acceptance research. Computers in Human Behavior, 63, 480–489.

Barnes, S. J., & Corbitt, B. (2003). Mobile banking: Concept and potential. International Journal of Mobile Communications, 1(3), 273–288. https://doi.org/10.1504/IJMC.2003.003494

Becker, J.-M., Rai, A., Ringle, C. M., & Völckner, F. (2013). Discovering unobserved heterogeneity in structural equation models to avert validity threats. MIS Quarterly, 665–694.

Bhatnagr, P., & Rajesh, A. (2023). Neobanking adoption–An integrated UTAUT-3, perceived risk and recommendation model. South Asian Journal of Marketing, 5(2), 93-112.

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806

Brown, S. A., & Venkatesh, V. (2005). A model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. Management Information Systems Quarterly, 29(3), 11.

Cele, S. K. (2023). Determining customer acceptance of digital-only banks in South Africa: Unified Theory of Acceptance and Use of Technology extension. South African Journal of Information Management, 25(1), 1–13.

Census and Statistics Department, HKSAR. (2024). Hong Kong Annual Digest of Statistics 2024 Edition. https://www.censtatd.gov.hk/en/EIndexbySubject.html?scode=460&pcode=B1010003

Chan, S., & Lu, M. (2004). Understanding Internet Banking Adoption and Use Behavior: A Hong Kong Perspective. Journal of Global Information Management (JGIM), 12(3), 21–43.

Chang, Y. T. (2003, January 1). Dynamics of Banking Technology Adoption: An Application to Internet Banking (Nos. 2068-2018–1398). AgEcon Search. https://doi.org/10.22004/ag.econ.269477

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. https://doi.org/10.1016/j.dss.2006.01.002

Cheng, T. C. E., & Yeung, W. H. (2010). An Empirical Study of the Impact of Brand Name on Personal Customers’ Adoption of Internet Banking in Hong Kong: International Journal of E-Business Research, 6(1), 32–51. https://doi.org/10.4018/jebr.2010100903

Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. In MIS quarterly (pp. vii–xvi). JSTOR. https://www.jstor.org/stable/249674

China Internet Network Information Center. (2021, February). The 47th Statistical Report on China’s Internet Development. China Internet Network Information Center.

Christou, P. A. (2022). How to use thematic analysis in qualitative research. Journal of Qualitative Research in Tourism, 3(2), 79–95.

Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159.

Cohen, J. (2013). Statistical power analysis for the behavioral sciences. routledge. https://www.taylorfrancis.com/books/mono/10.4324/9780203771587/statistical-power-analysis-behavioral-sciences-jacob-cohen

Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications. https://books.google.com/books?hl=en&lr=&id=335ZDwAAQBAJ&oi=fnd&pg=PT16&ots=YEvXILAupN&sig=EqARbKRcOS5e9WwLfqPpNk4wyNg

Cronin, M. J. (1998). Banking and Finance on the Internet. John Wiley & Sons.

Cunningham, M. S. (1967). The Major Dimensions of Perceived Risk. Risk Taking and Information Handling in Consumer Behavior. https://ci.nii.ac.jp/naid/10021015678

Daka, G. C., & Phiri, J. (2019). Factors driving the adoption of e-banking services based on the UTAUT model. International Journal of Business and Management, 14(6), 43–52.

Damghanian, H., Zarei, A., & Siahsarani Kojuri, M. A. (2016). Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran. Journal of Internet Commerce, 15(3), 214–238. https://doi.org/10.1080/15332861.2016.1191052

Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results [PhD Thesis]. Massachusetts Institute of Technology.

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

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

Demirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The Global Findex Database 2021: Financial inclusion, digital payments, and resilience in the age of COVID-19. World Bank Publications. https://books.google.com/books?hl=en&lr=&id=ZtiVEAAAQBAJ&oi=fnd&pg=PA39&dq=The+Global+Findex+Database+2021:+Financial+inclusion,+digital+payments,+and+resilience&ots=hu6m-SYsad&sig=eZu69Lr6vFoiIe0kd3vdno2p84s

Deng, Z., Lu, Y., Deng, S., & Zhang, J. (2010). Exploring user adoption of mobile banking: An empirical study in China. International Journal of Information Technology and Management, 9(3), 289–301. https://doi.org/10.1504/IJITM.2010.030945

Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307–319.

Egland, K. L., Gurst, K., Nolle, D. E., & Robertson, D. (1998). Special Studies on Technology and Banking: Banking over the Internet. QJ, 17, 25.

Farzin, M., Sadeghi, M., Yahyayi Kharkeshi, F., Ruholahpur, H., & Fattahi, M. (2021). Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter? Asian Journal of Economics and Banking, 5(2), 136–157. https://doi.org/10.1108/AJEB-10-2020-0085

Featherman, M. S., & Hajli, N. (2016). Self-Service Technologies and e-Services Risks in Social Commerce Era. Journal of Business Ethics, 139(2), 251–269. https://doi.org/10.1007/s10551-015-2614-4

Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3

Fenu, G., & Pau, P. L. (2015). An analysis of features and tendencies in mobile banking apps. Procedia Computer Science, 56, 26–33.

Fishbein, M. (1967). Readings in attitude theory and measurement. Wiley.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. https://trid.trb.org/view/1150648

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

Frost, J., Gambacorta, L., Huang, Y., Shin, H. S., & Zbinden, P. (2019). BigTech and the changing structure of financial intermediation. Economic Policy, 34(100), 761–799.

Fry, M. J. (2019). Financial structure, monetary policy, and economic growth in Hong Kong, Singapore, Taiwan, and South Korea, 1960-1983. In Export-Oriented Development Strategies (pp. 275–324). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9780429038013-11/financial-structure-monetary-policy-economic-growth-hong-kong-singapore-taiwan-south-korea-1960-1983-maxwell-fry

Gerring, J. (2006). Case study research: Principles and practices. Cambridge university press. https://books.google.com/books?hl=en&lr=&id=CbetAQAAQBAJ&oi=fnd&pg=PP13&dq=Case+study+research:+Principles+and+practices&ots=kdB5JKS_zD&sig=_TI4sclskQXExQnoYGMHcMeZJqY

Giovanis, A., Athanasopoulou, P., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile banking services: A comparative analysis of four competing theoretical models. International Journal of Bank Marketing, 37(5), 1165–1189. https://doi.org/10.1108/IJBM-08-2018-0200

Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services. Journal of Management Information Systems, 35(1), 220–265. https://doi.org/10.1080/07421222.2018.1440766

Goncalves, P. (2019, March 28). Hong Kong starts granting licenses for virtual banks. International Investment. https://www.internationalinvestment.net/news/4001558/hong-kong-starts-granting-licenses-virtual-banks

Goodhue, D. L. (2007). Comment on Benbasat and Barki’s" Quo Vadis TAM" article. Journal of the Association for Information Systems, 8(4), 15.

Greenwood, J. (2022). Hong Kong’s link to the US dollar: Origins and evolution. Hong Kong University Press. https://books.google.com/books?hl=en&lr=&id=gBVkEAAAQBAJ&oi=fnd&pg=PR5&dq=banking+in+hong+kong&ots=8OOfhYGgrt&sig=DzgqSCXqE41Kv5FFiYkb1S-8r-c

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second edition.). SAGE Publications, Inc.

Hair, J. F., Ringle, C. M., & 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

Hair, J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (Third edition). SAGE Publications, Inc.

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

Hanif, Y., & Lallie, H. S. (2021). Security factors on the intention to use mobile banking applications in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM-with perceived cyber security, risk, and trust. Technology in Society, 67, 101693.

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

Ho, J. C., Wu, C.-G., Lee, C.-S., & Pham, T.-T. T. (2020). Factors affecting the behavioral intention to adopt mobile banking: An international comparison. Technology in Society, 63, 101360.

Hong Kong Monetary Authority. (2019, May 9). Granting of virtual banking licences (09 May 2019). Hong Kong Monetary Authority. //www.hkma.gov.hk/eng/news-and-media/press-releases/2019/05/20190509-3/

Hong Kong Monetary Authority. (2024a). Report on the Review of Virtual Banks. https://www.hkma.gov.hk/media/eng/doc/key-information/press-release/2024/20240806e3a1.pdf

Hong Kong Monetary Authority. (2024b, October 14). Consultation Conclusions on Proposed Renaming of “Virtual Bank.” https://www.hkma.gov.hk/media/eng/regulatory-resources/consultations/Consultatoin_Conclusions_Renaming_of_Virtual_Bank_eng.pdf

Hong Kong Monetary Authority. (2024c, October 25). Authorization of Digital Banks. https://www.hkma.gov.hk/media/eng/doc/key-functions/banking-stability/guide-authorization/Chapter-9.pdf

Hong Kong Monetary Authority. (2017, September 29). Hong Kong Monetary Authority—A New Era of Smart Banking. Hong Kong Monetary Authority. //www.hkma.gov.hk/eng/news-and-media/press-releases/2017/09/20170929-3/

Hong Kong Monetary Authority. (2018, May 30). Hong Kong Monetary Authority—Guideline on Authorization of Virtual Banks. Hong Kong Monetary Authority. //www.hkma.gov.hk/eng/news-and-media/press-releases/2018/05/20180530-3/

Ivanova, A., & Kim, J. Y. (2022). Acceptance and use of mobile banking in Central Asia: Evidence from modified UTAUT model. The Journal of Asian Finance, Economics and Business, 9(2), 217–227.

Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021). A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture. Journal of Business Research, 132, 354–372.

Jhantasana, C. (2023). Should a rule of thumb be used to calculate PLS-SEM sample size. Asia Social Issues, 16(5), e254658–e254658.

Jung, J. W., & Cho, S. Y. (2018). Relationship among perceived benefit, perceived risk and continuous use of user’Internet primary bank: The mediation effects of trust. Journal of the Korea Convergence Society, 9(12), 195–205.

KA, A. A., & Subramanian, R. (2022). Current status of research on mobile banking: An analysis of literature. Vision, 09722629211073268.

Kaur, S., & Arora, S. (2020). Role of perceived risk in online banking and its impact on behavioral intention: Trust as a moderator. Journal of Asia Business Studies, 15(1), 1–30.

Khedmatgozar, H. R., & Shahnazi, A. (2018). The role of dimensions of perceived risk in adoption of corporate internet banking by customers in Iran. Electronic Commerce Research, 18(2), 389–412.

Kim, D., & Bae, J. K. (2020). Understanding internet-only bank service adoption: An integration of the unified technology theory of acceptance and innovation resistance model. Global Business & Finance Review (GBFR), 25(3), 49–59.

King, B. (2012). Bank 3.0: Why Banking Is No Longer Somewhere You Go But Something You Do (1st edition). Wiley.

King, B. (2018). Bank 4.0: Banking Everywhere, Never at a Bank (1st edition). Wiley.

Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford publications. https://books.google.com/books?hl=en&lr=&id=t2CvEAAAQBAJ&oi=fnd&pg=PP1&dq=Principles+and+practice+of+structural+equation+modeling&ots=sWVAS09YfK&sig=LidIiwSkixdNNawW1kAacigxXcw

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration (Ijec), 11(4), 1–10.

Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131

Krugel, G. T. (2007). Mobile Banking Technology Options. Finmark Trust. https://gsma.com/mobilefordevelopment/wp-content/uploads/2012/06/finmark_mbt_aug_07.pdf

Kumar, R., Singh, R., Kumar, K., Khan, S., & Corvello, V. (2023). How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India. Sustainability, 15(5), 4053.

Lee, H.-T., & Kang, S.-Y. (2021). A Study on the Adoption of Internet-only bank based on UTAUT and Status quo bias. Soochow Journal of Economics and Business, 103, 39–66.

Lee, K.-Y., & Park, J.-P. (2022). Factors Influencing Use Intention of Internet-Only Banks in Korea: An Extension of Extended Unified Theory of Acceptance and Use of Technology and Technology Readiness Index (SSRN Scholarly Paper No. 4127607). https://doi.org/10.2139/ssrn.4127607

Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141. https://doi.org/10.1016/j.elerap.2008.11.006

Li, M.-L., Lin, S.-P., Chan, Y.-H., & 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 (JOEUC), 33(5), 74–97.

Lin, H.-F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252–260.

López-Rodríguez, C. E., & Cardozo-Munar, C. E. (2023). Current global overview of perceptions of mobile banking usage: A bibliometric analysis and systematic literature review. Universidad y Sociedad, 15(5), 395–409.

Lu, H.-P., Hsu, C.-L., & Hsu, H.-Y. (2005). An empirical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security, 13(2), 106–120.

Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891. https://doi.org/10.1016/j.chb.2004.03.003

Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234.

Maguire, M., & Delahunt, B. (2017). Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars. All Ireland Journal of Higher Education, 9(3). http://ojs.aishe.org/index.php/aishe-j/article/view/335

Malik, M. (2020). A Review of empirical research on Internet & Mobile banking in developing countries using UTAUT Model during the period 2015 to April 2020. Journal of Internet Banking and Commerce, 25(2), 1–22.

Mason, C. H., & Perreault, W. D. (1991). Collinearity, Power, and Interpretation of Multiple Regression Analysis. Journal of Marketing Research, 28(3), 268–280. https://doi.org/10.1177/002224379102800302

Masrek, M. N., & Khairuddin, I. I. (2012). Trust in mobile banking adoption in Malaysia: A conceptual framework. Journal of Mobile Technologies, Knowledge and Society, 2012, 1.

McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and Validating Trust Measures for e-Commerce: An Integrative Typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81

Mer, A., & Virdi, A. S. (2021). Modeling Millennials’ Adoption Intentions of E-banking: Extending UTAUT with Perceived Risk and Trust. FIIB Business Review, 231971452110526. https://doi.org/10.1177/23197145211052614

Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59, 101151.

Merhi, M., Hone, K., Tarhini, A., & Ameen, N. (2020). An empirical examination of the moderating role of age and gender in consumer mobile banking use: A cross-national, quantitative study. Journal of Enterprise Information Management, 34(4), 1144–1168. https://doi.org/10.1108/JEIM-03-2020-0092

Min, Q., Ji, S., & Qu, G. (2008). Mobile commerce user acceptance study in China: A revised UTAUT model. Tsinghua Science and Technology, 13(3), 257–264. Tsinghua Science and Technology. https://doi.org/10.1016/S1007-0214(08)70042-7

Naeem, M. (2020). Developing the antecedents of social influence for Internet banking adoption through social networking platforms: Evidence from conventional and Islamic banks. Asia Pacific Journal of Marketing and Logistics, 33(1), 185–204.

Naeem, M., Jawaid, S. T., & Mustafa, S. (2022). Evolution of modified TAM associated with e-banking services adoption: A systematic PRISMA review from 1975 to 2021. Journal of Modelling in Management, 18(3), 942–972. https://doi.org/10.1108/JM2-10-2021-0251

Nayanajith, G., & Damunupola, K. A. (2019). Relationship of perceived behavioral control and adoption of internet banking in the presence of a moderator. Asian Journal of Multidisciplinary Studies, 2(2), 30–41.

Nayanajith, G., Damunupola, K. A., & Ventayen, R. J. M. (2019). Website Usability, Perceived Usefulness and Adoption of Internet Banking Services in the Context of Sri Lankan Financial Sector. Asian Journal of Business and Technology Studies, 2(1), 28–38.

Ndlovu, S., Liu, J., Plumley, D., & Fakir, A. E. (2024). Factors Influencing Consumer Adoption of Digital-Only Banks in the UK. FinTech and AI in Finance (FinTAF), 2(1). https://journals.shu.ac.uk/index.php/FinTAF/article/view/448

Nel, J., & Boshoff, C. (2021). Traditional-bank customers’ digital-only bank resistance: Evidence from South Africa. International Journal of Bank Marketing, 39(3), 429–454.

Nepal, S., & Nepal, B. (2023). Adoption of Digital Banking: Insights from a UTAUT Model. Journal of Business and Social Sciences Research, 8(1), 17–34.

Nguyen, T. T., Nguyen, H. T., Mai, H. T., & Tran, T. T. M. (2020). Determinants of digital banking services in Vietnam: Applying utaut2 model. Asian Economic and Financial Review, 10(6), 680.

Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703.

Oly Ndubisi, N., & Sinti, Q. (2006). Consumer attitudes, system’s characteristics and internet banking adoption in Malaysia. Management Research News, 29(1/2), 16–27. https://doi.org/10.1108/01409170610645411

Or, S. (2018, June 8). HKMA Revised Guidelines on Authorisation of Virtual Banks | Perspectives & Events | Mayer Brown. https://www.mayerbrown.com/en/perspectives-events/publications/2018/06/hkma-revised-guidelines-on-authorisation-of-virtua

Orăștean, R. (2018). Business Models in the International Banking System—From Traditional to Innovative Banks. Innovative Business Development—A Global Perspective: 25th International Economic Conference of Sibiu (IECS 2018) 25, 267–276.

Owusu Kwateng, K., Osei Atiemo, K. A., & Appiah, C. (2018). Acceptance and use of mobile banking: An application of UTAUT2. Journal of Enterprise Information Management, 32(1), 118–151. https://doi.org/10.1108/JEIM-03-2018-0055

Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544. https://doi.org/10.1007/s10488-013-0528-y

Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.

Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Sage publications. https://books.google.com/books?hl=en&lr=&id=ovAkBQAAQBAJ&oi=fnd&pg=PP1&dq=Qualitative+research+%26+evaluation+methods&ots=ZS_-4xCJB2&sig=JgTUhm8WMWPSYynpFxprCSDeOes

Peel, K. L. (2020). A beginner’s guide to applied educational research using thematic analysis. Practical Assessment Research and Evaluation, 25(1). https://research.usq.edu.au/item/q59y5/a-beginner-s-guide-to-applied-educational-research-using-thematic-analysis

Phan, H. T., Anwar, S., Alexander, W. R. J., & Phan, H. T. M. (2019). Competition, efficiency and stability: An empirical study of East Asian commercial banks. The North American Journal of Economics and Finance, 50, 100990.

Punch, K. F. (2016). Developing effective research proposals. https://www.torrossa.com/gs/resourceProxy?an=5019379&publisher=FZ7200

Putra, A. H., Halianto, L. D., Calista, Y., & Damayanti, N. (2022). Factors affecting intention to use on the digital banking services offered by digital banks in Indonesia. Proceedings of the International Conference on Industrial Engineering and Operations Management, 105–117. https://www.researchgate.net/profile/Nur-Damayanti-2/publication/367380857_Factors_Affecting_Intention_to_Use_on_the_Digital_Banking_Services_Offered_by_Digital_Banks_in_Indonesia/links/63d072b6d7e5841e0bf23954/Factors-Affecting-Intention-to-Use-on-the-Digital-Banking-Services-Offered-by-Digital-Banks-in-Indonesia.pdf

Rahardhan, R., & Legowo, N. (2024). Examining the Adoption of Digital Banking: Extending the UTAUT2 Model with Perceived Security and Promotion. Journal of System and Management Sciences, 14(9), 36–54.

Rahi, S. (2018). Research design and methods. CreateSpace Independent Publishing Platform CA.

Rahi, S., Ghani, M. A., & Ngah, A. H. (2019). Integration of unified theory of acceptance and use of technology in internet banking adoption setting: Evidence from Pakistan. Technology in Society, 58, 101120.

Raza, S. A., Shah, N., & Ali, M. (2019). Acceptance of mobile banking in Islamic banks: Evidence from modified UTAUT model. Journal of Islamic Marketing, 10(1), 357-376.

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Saif, M. A., Hussin, N., Husin, M. M., Alwadain, A., & Chakraborty, A. (2022). Determinants of the intention to adopt digital-only banks in Malaysia: The extension of environmental concern. Sustainability, 14(17), 11043.

Sandhu, S., Kai, J., Maity, R., Saad, A., Bakar, S. M. S. A., & Singh, H. (2022). Convenience and risk factors affecting mobile banking adoption behavior: The mediating role of trust. Journal of Emerging Economies and Islamic Research, 10(2), 127–151.

Sarstedt, M., & Mooi, E. (2014). A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-53965-7

Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research Methods For Business Students. PEARSON.

Saxena, N., Gera, N., & Taneja, M. (2022). An empirical study on facilitators and inhibitors of adoption of mobile banking in India. Electronic Commerce Research, 1–32.

Schmidt-Jessa, K., & Stradomski, M. (2023). Consumer awareness and acceptance of digital-only banks. Bank i Kredyt, 54(4), 389–418.

Shabu, K., & Ramankutty, V. (2022). Neobanking in India: Opportunities and challenges from customer perspective. Proceedings of the International Conference on Innovative Computing & Communication (ICICC). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4037656

Sibanda, W., Ndiweni, E., Boulkeroua, M., Echchabi, A., & Ndlovu, T. (2020). Digital technology disruption on bank business models. International Journal of Business Performance Management, 21(1/2), 184. https://doi.org/10.1504/IJBPM.2020.106121

Siddik, M. N. A., Sun, G., Yanjuan, C. U. I., & Kabiraj, S. (2014). Financial inclusion through mobile banking: A case of Bangladesh. Journal of Applied Finance and Banking, 4(6), 109.

Singh, A. S., Venkataramani, B., & Ambarkhane, D. (2014). Role of mobile banking in financial inclusion. Available at SSRN 2485777. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2485777

Siyal, A. W., Donghong, D., Umrani, W. A., Siyal, S., & Bhand, S. (2019). Predicting mobile banking acceptance and loyalty in Chinese bank customers. Sage Open, 9(2), 2158244019844084.

Souiden, N., Ladhari, R., & Chaouali, W. (2020). Mobile banking adoption: A systematic review. International Journal of Bank Marketing, 39(2), 214–241. https://doi.org/10.1108/IJBM-04-2020-0182

Stake, R. E. (1995). The Art of Case Study Research. Sage Publications.

Tam, C., & Oliveira, T. (2017). Literature review of mobile banking and individual performance. International Journal of Bank Marketing, 35(7), 1044–1067. https://doi.org/10.1108/IJBM-09-2015-0143

Tan, M., & Teo, T. S. H. (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

Taneja, S., Ali, L., Siraj, A., Ferasso, M., Luthra, S., & Kumar, A. (2024). Leveraging digital payment adoption experience to advance the development of digital-only (Neo) banks: Role of trust, risk, security, and green concern. IEEE Transactions on Engineering Management. https://ieeexplore.ieee.org/abstract/document/10517666/

Tang, K. L., Aik, N. C., & Choong, W. L. (2021). A modified UTAUT in the context of m-payment usage intention in Malaysia. Journal of Applied Structural Equation Modeling, 5(1), 40–59.

Tariq, M., Maryam, S. Z., & Shaheen, W. A. (2024). Cognitive factors and actual usage of Fintech innovation: Exploring the UTAUT framework for digital banking. Heliyon, 10(15). https://www.cell.com/heliyon/fulltext/S2405-8440(24)11613-1

Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 561–570.

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 125–143.

Tosun, P. (2020). Brand trust for digital-only bank brands: Consumer insights from an emerging market. https://openaccess.mef.edu.tr/xmlui/handle/20.500.11779/1370

Van, H. N., Pham, L., Williamson, S., Huong, V. T., Hoa, P. X., & Trang, P. L. H. (2020). Impact of perceived risk on mobile banking usage intentions: Trust as a mediator and a moderator. International Journal of Business and Emerging Markets, 12(1), 94-118. https://doi.org/10.1504/IJBEM.2020.106202

Vehovar, V., Toepoel, V., & Steinmetz, S. (2016). Non-probability sampling (Vol. 1). The Sage handbook of survey methods. https://books.google.com/books?hl=en&lr=&id=g8OMDAAAQBAJ&oi=fnd&pg=PA329&dq=Vehovar+et+al.+(2016)&ots=DAoNqyU0nO&sig=BCSRXlpDAp_eviztip05tHJMgUQ

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x

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

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

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

Wan, W. W. N., Luk, C., & Chow, C. W. C. (2005). Customers’ adoption of banking channels in Hong Kong. International Journal of Bank Marketing, 23(3), 255–272. https://doi.org/10.1108/02652320510591711

Wang, L., & Yi, Y. (2012). The Impact of Use Context on Mobile Payment Acceptance: An Empirical Study in China. In A. Xie & X. Huang (Eds.), Advances in Computer Science and Education (Vol. 140, pp. 293–299). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-27945-4_47

Wang, Y., Wang, Y., Lin, H., & Tang, T. (2003). Determinants of user acceptance of Internet banking: An empirical study. International Journal of Service Industry Management, 14(5), 501–519. https://doi.org/10.1108/09564230310500192

Yin, R. K. (2013). Case Study Research: Design and Methods (Fifth edition). SAGE Publications, Inc.

Yiu, C. S., Grant, K., & Edgar, D. (2007). Factors affecting the adoption of Internet Banking in Hong Kong—Implications for the banking sector. International Journal of Information Management, 27(5), 336–351. https://doi.org/10.1016/j.ijinfomgt.2007.03.002

Yoon, C., & Lim, D. (2020). An empirical study on factors affecting customers’ acceptance of internet-only banks in Korea. Cogent Business & Management, 7(1), 1792259.

Yusfiarto, R., Supriani, I., Mutmainah, L., Hamdani, L., Khoirunnisa, A. N., & Ibrahim, M. H. (2024). Enabling Islamic internet-only banks acceptance: An empirical analysis of the UTAUT framework and Islamic compliance. Journal of Islamic Marketing, 15(10), 2669–2693.

Zhang, Y., Chen, X., Liu, X., & 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

Zhao, X., Lynch Jr, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206.

Zhou, T. (2012). Examining mobile banking user adoption from the perspectives of trust and flow experience. Information Technology and Management, 13(1), 27–37. https://doi.org/10.1007/s10799-011-0111-8

Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013

Ziouache, A., & Bouteraa, M. (2023). Descriptive Approach of Neo-Banking System: Conception, Challenges and Global Practices. International Journal of Business and Technology Management, 5(2), 194–204.

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01.09.2025

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Customer Adoption of Virtual Bank In Hong Kong Using UTAUT Model Integrating Perceived Risk, Trust and Price Value. (2025). SBS Journal of Applied Business Research, 1(1). https://doi.org/10.70301/

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