One of the key issues in this situation is what drives individual customers to accept online banking services. This study was based on the TAM and the trust of Bangladeshi and Koreans in social impact, privacy and security, compatibility, ease of use, and usefulness. The purpose of this study is to investigate how these variables affect the acceptance of online banking. Research design, data, and methodology – In this study, an Internet survey was conducted for individuals who had experience in using the online banking system, and those who had no experience in using the online banking system were excluded from the analysis. The questionnaire was distributed to Bangladesh and Koreans, respectively, and data were collected, and the collected data was analyzed using SPSS 26 and AMOS to create an integrated model. Result – As a result of the analysis, it was found that trust is the variable that has the greatest influence on the acceptance of online banking. Social influence and perceived convenience of use were found to have a significant effect on Koreans' acceptance of online banking, and perceived usefulness was found to have a significant effect on Bangladeshi's acceptance of online banking. It was also found that compatibility, privacy and security were important predictors in both countries. Conclusion – The findings of this study support the primary TAM-related hypotheses. This indicates that the TAM model is fully applicable to explain the individual's acceptance of Online Banking Services in Bangladesh. In the context of this study, perceived ease of use found to be significant predictor of Trust. Evidently, the current conclusions provide empirical evidence that customers would be more willing to adopt Online Banking services if they find it useful and reliable. Also, there is a highly significant positive correlation between trust and perceived usefulness, suggesting that consumers who realize that Online Banking is Privacy and Security also perceive it to be safe and useful. Therefore, it is extremely necessary to understand how these key constructs can be enhanced in the minds of consumers in order to improve positively their perceptions towards the adoption process of Online Banking services.
Bashir, I., & Madhavaiah, C. (2014). Determinants of young consumers' intention to use Internet banking services in India. Vision, 18(3), 153-163.
Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102.
Chauhan, V., Yadav, R., & Choudhary, V. (2019). Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers. International Journal of Bank Marketing, 37(1), 323-339.
Chen, L. D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52.
Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14(3), 224-235.
Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research:A literature review. Electronic Commerce Research and Applications, 7(2), 165-181.
Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research:A literature review. Electronic Commerce Research and Applications, 7(2), 165-181.
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-machine Studies, 38(3), 475-487.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
Ding, M., & Hampe, J. F. (2003). Reconsidering the challenges of mpayments: A to plotting the potential of the future mcommerce market. BLED 2003 Proceedings, 49.
Duane, A., O'Reilly, P., & Andreev, P. (2014). Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones. Behaviour & Information Technology, 33(4), 318-334.
Dyna, H. S., & Purwo Adi, W. (2012). Technology Acceptance Model of Mobile Ticketing. In proceedings intl conf information system business competitiveness. Electronics & Communication Engineering Journal, 14(5), 228-238.
Eriksson, K., Kerem, K., & Nilsson, D. (2005). Customer acceptance of internet banking in Estonia. International Journal of Bank Marketing, 23(2), 200-216.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Gazi, A. I., Rahaman, A., Waliullah, S. S. A., Ali, J., & Mamoon, Z. R. (2021). Financial Performance of Converted Commercial Banks from Non-Banking Financial Institutions: Evidence from Bangladesh. Journal of Asian Finance, Economics and Business, 8(2), 923-931.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. Engineering Management, 50(3), 307-321.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90.
Guriting, P., & Oly Ndubisi, N. (2006). Borneo online banking: evaluating customer perceptions and behavioural intention. Management research news, 29(1/2), 6-15.
Hansen, M. H., Morrow, J. L., & Batista, J. C. (2002). The impact of trust on cooperative membership retention, performance, and satisfaction: an exploratory study. The International Food and Agribusiness Management Review, 5(1), 41-59.
Hernández, B., Jiménez, J., & José Martín, M. (2011). Age, gender and income: do they really moderate online shopping behaviour?. Online Information Review, 35(1),113-133.
Hossain, M. U., & Asheq, A. A. (2019). The Role of Entrepreneurial Orientation to SME Performance in Bangladesh. International Journal of Entrepreneurship, 23(1), 1-6.
Hossain, M. U., & Asheq, A. A. (2020). Do leadership orientation and proactive personality influence social entrepreneurial intention? International Journal of Management and Enterprise Development, 19(2), 109-125.
Igbaria, M. (1993). User acceptance of microcomputer technology: an empirical test. Omega, 21(1), 73-90.
Jahan, N., Ali, M. J., & Al Asheq, A. (2020). Examining the Key Determinants of Customer Satisfaction Internet Banking Services in Bangladesh. Academy of Strategic Management Journal, 19(1), 1-6.
Shih, H. P. (2004). An empirical study on predicting user acceptance of e-shopping on the Web. Information &Management, 41(3), 351-368.
Kadhiwal, S., & Zulfiquar, A. U. S. (2007). Analysis of mobile payment security measures and different standards. Computer Fraud & Security, 2007(6), 12-16.
Kauber, M. (2004). The emerging market of infomobility services. Research in Transportation Economics, 8, 69-87.
Kaur, A., & Malik, G. (2019). Examining factors influencing Indian customers' intentions and adoption of Internet banking: Extending TAM with electronic service quality. Innovative Marketing, 15(2), 42-57.
Kesharwani, A., & Tripathy, T. (2012). Dimensionality of perceived risk and its impact on Internet banking adoption: An empirical investigation. Services Marketing Quarterly, 33(2), 177-193.
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327-346.
Lee, C. P., Warkentin, M., & Choi, H. (2004). The role of technological and social factors on the adoption of mobile payment technologies. AMCIS 2004 Proceedings, 333.
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.
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
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.
Liang, C. C., & Nguyen, N. L. (2018). Marketing strategy of internet-banking service based on perceptions of service quality in Vietnam. Electronic commerce research, 18(3), 629-646.
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206-222.
Mallat, N. (2007). Exploring consumer adoption of mobile payments–A qualitative study. The Journal of Strategic Information Systems, 16(4), 413 432.
Martins, C., Oliveira, T., & Popovic, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
Moghavvemi, S., Lee, S. T., & Lee, S. P. (2018). Perceived overall service quality and customer satisfaction: a comparative analysis between local and foreign banks in Malaysia. International Journal of Bank Marketing, 36(5), 908-930.
Multon, K. D., Brown, S. D., & Lent, R. W. (1991). Relation of self-efficacy beliefs to academic outcomes: A metaanalytic investigation. Journal of counseling psychology, 38(1), 30.
Mutahar, A. M., Daud, N. M., Thurasamy, R., Isaac, O., & Abdulsalam, R. (2018). The Mediating of Perceived Usefulness and Perceived Ease of Use: The Case of Mobile Banking in Yemen. International Journal of Technology Diffusion (IJTD), 9(2), 21-40.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Explaining intention to use mobile chat services:moderating effects of gender. Journal of consumer Marketing, 22(5), 247-256.
O’Reilly, P., Duane, A., & Andreev, P. (2012). To M-Pay or not to M-Pay. Realising the potential of smart phones:conceptual modeling and empirical validation. Electronic Markets, 22(4), 229-241.
Okazaki, S., Molina, F. J., & Hirose, M. (2012). Mobile advertising avoidance: exploring the role of ubiquity. Electronic Markets, 22(3), 169-183.
Ondrus, J., & Pigneur, Y. (2007, July). An assessment of NFC for future mobile payment systems. In Management of Mobile Business, 2007. ICMB 2007. International Conference on the (pp. 43-43).
Oruc, O. E., & Tatar, C. (2017). An investigation of factors that affect internet banking usage based on structural equation modeling. Computers in Human Behavior, 66, 232-235.
Petrova, K., & Mehra, R. (2010, September). Mobile payment: An exploratory study of customer attitudes. In Wireless and Mobile Communications (ICWMC), 2010 6th International Conference on (pp. 378-383).
Rahaman, M. A., Ali, M. J., Kejing, Z., Taru, R. D., & Mamoon, Z. R. (2020c). Investigating the Effect of Service Quality on Bank Customers' Satisfaction in Bangladesh. Journal of Asian Finance, Economics and Business, 7(10), 823-829.
Rahaman, M. A., Ali, M. J., Mamoon, Z. R., & Asheq, A. A. (2020a). Understanding the Entrepreneurial Intention in the Light of Contextual Factors: Gender Analysis. Journal of Asian Finance, Economics and Business, 7(9), 639-647.
Rahaman, M. A., Ali, M. J., Wafik, H., Mamoon, Z. R., & Islam, M. M. (2020b). What Factors Do Motivate Employees at the Workplace? Evidence from Service Organizations. Journal of Asian Finance, Economics and Business, 7(12), 515-521.
Rahi, S., & Abd-Ghani, M. (2019). Integration of expectation confirmation theory and self-determination theory in Internet banking continuance intention. Journal of Science and Technology Policy Management, 10(3), 533-550.
Rahi, S., Othman Mansour, M. M., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435.
Raza, S. A., Umer, A., Qureshi, M. A., & Dahri, A. S. (2020). Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model. The TQM Journal, 32(6), 1443-1466.
Sadeghi, T., & Heidarzadeh, H. K. (2010). Customer satisfaction factors (CSFs) with online banking services in an Islamic country. Journal of Islamic Marketing, 1(3), 249-267.
Santouridis, I., Trivellas, P., & Reklitis, P. (2009). Internet service quality and customer satisfaction: examining internet banking in Greece. Total Quality Management, 20(2), 223-239.
Schwiderski-Grosche, S., & Knospe, H. (2002). Secure mobile commerce.
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129-142.
Suh, B., & Han, I. (2003). Effect of trust on customer acceptance of Internet banking. Electronic Commerce research and applications, 1(3), 247-263.
Venkatesh, V., & Bala, H. (2008), “Technology acceptance model 3 and a research agenda on interventions,”Decision Sciences, 39, pp. 273-315
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology:Toward a unified view. MIS Quarterly, 425-478.
Venkatesh, V., Thong J. Y., & 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
Vukovic, M., Pivac, S., & Kundid, D. (2019). Technology acceptance model for the Internet banking acceptance in split. Business Systems Research, 10(2), 124-140.