How to cite this paper
Lan, V & Giang, N. (2021). Bank’s brand, social influence, and its impact on the decision on using mobile banking services of individual customers: An empirical study.Accounting, 7(4), 925-932.
Refrences
Ajzen, I. (1980). From intentions to action: a theory of planned behavior. Berlin and New York: Springer-Verlag.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ai, T.H., & Thanh, D.K. (2020). Factors affecting brand strength within Vietnamese commercial banks. Industry and Trade Magazine. Available at https://tapchicongthuong.vn/bai-viet/cac-yeu-to-anh-huong-den-suc-manh-thuong-hieu-trong-noi-bo-cac-ngan-hang-thuong-mai-viet-nam-67994.htm
Ai, T.H., & Tan, C.H. (2020). Factors affecting on individual customers when accepting Mobile banking services in Ho Chi Minh City. Industry and Trade Magazine. Available at http://tapchicongthuong.vn/bai-viet/cac-yeu-to-anh-huong-den-khach-hang-ca-nhan-khi-chap-nhan-dich-vu-mobile-banking-tai-thanh-pho-ho-chi-minh-76111.htm
Dao, L.K.O., Nguyen, T.Y., Hussain, S., & Nguyen, V.C. (2020). Factors affecting non-performing loans of commercial banks: The role of bank performance and credit growth. Banks and Bank Systems, 15(3), 44–54. http://dx.doi.org/10.21511/bbs.15(3).2020.05
Dao, M.H., Nguyen, T.T., Dang, T.H., & Nguyen, T.L.T. (2018). Factors affecting the decision to use fintech services in payment activities of individual customers in Vietnam. Banking Science and Training Review, 194(7). http://210.245.26.173:6788/tapchi/08.2018/system/archivedate
Do, T.N.N. (2013). Study on factors affecting the acceptance of BIDV E-banking service by individual customers at BIDV – Da Nang branch. Master Thesis. Available at http://tailieuso.udn.vn/bitstream/TTHL_125/7890/2/DoThiNhuNgan.TT.pdf
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..
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior. MA: Addison- Wesley.
Jebarajakirthy, C., & Shankar, A. (2020). Impact of online convenience on mobile banking adoption intention: A moderated mediation approach. Journal of Retailing and Consumer Services, 58, 102323.
Hien, P.T.T. (2020). Factors affecting the individual customers' intention to use mobile banking services at Agribank Mang Thit District, Vinh Long Province. Review of Finance. Retrieved from http://tapchitaichinh.vn/tai-chinh-kinh-doanh/cac-yeu-to-anh-huong-den-y-dinh-su-dung-dich-vu-mobile-banking-cua-khach-hang-ca-nhan-tai-agribank-huyen-mang-thit-tinh-vinh-long-326639.html
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.
Hussain, S., Quddus, A., Tien, P.P., Rafiq, M., Pavelková, D. (2020). The moderating role of firm size and interest rate in capital structure of the firms: Selected sample from sugar sector of Pakistan. Investment Management and Financial Innovations, 17(4), 341–355. http://dx.doi.org/10.21511/imfi.17(4).2020.29
Li, F., Lu, H., Hou, M., Cui, K., & Darbandi, M. Customer satisfaction with bank services: The role of cloud services, security, e-learning and service quality. Technology in Society, 64, 101487.
Nguyen, N.L., & Nguyen, T.T.L. (2017). Regarding commercial bank selection decisions of individual customers. Review of Finance. Available at http://tapchitaichinh.vn/kinh-te-vi-mo/ve-quyet-dinh-lua-chon-ngan-hang-thuong-mai-cua-khach-hang-ca-nhan-129215.html
Nguyen, V.C., & Ao, T.H. (2020). The Reaction of Vietnam’s Generation Z to Online TV Advertising. Journal of Asian Finance, Economics and Business, 7(5), 177-184.
Picoto, W., & Pinto, I. (2020). Cultural impact on mobile banking use – A multi-method approach. Journal of Business Research. Available online 29 October 2020. https://doi.org/10.1016/j.jbusres.2020.10.024
Sinha, S., & Mukherjee, S. (2020). Sales strategies of banks: An empirical study of select private sector banks in India. Journal of Critical Reviews, 7(2), 62–66. doi: 10.31838/jcr.07.02.14
Thusi, P. and Maduku. D.K. (2020). South African millennials’ acceptance and use of retail mobile banking apps: An integrated perspective. Computers in Human Behavior, Volume 111, October 2020, 106405. https://doi.org/10.1016/j.chb.2020.106405.
Tran, Q.T., & Tran, N.A.T. (2020). Applying the CAMEL model to assess performance of commercial banks: empirical evidence from Vietnam. Banks and Bank Systems, 15(2), 167–176. doi: http://dx.doi.org/10.21511/bbs.15(2).2020.15
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ai, T.H., & Thanh, D.K. (2020). Factors affecting brand strength within Vietnamese commercial banks. Industry and Trade Magazine. Available at https://tapchicongthuong.vn/bai-viet/cac-yeu-to-anh-huong-den-suc-manh-thuong-hieu-trong-noi-bo-cac-ngan-hang-thuong-mai-viet-nam-67994.htm
Ai, T.H., & Tan, C.H. (2020). Factors affecting on individual customers when accepting Mobile banking services in Ho Chi Minh City. Industry and Trade Magazine. Available at http://tapchicongthuong.vn/bai-viet/cac-yeu-to-anh-huong-den-khach-hang-ca-nhan-khi-chap-nhan-dich-vu-mobile-banking-tai-thanh-pho-ho-chi-minh-76111.htm
Dao, L.K.O., Nguyen, T.Y., Hussain, S., & Nguyen, V.C. (2020). Factors affecting non-performing loans of commercial banks: The role of bank performance and credit growth. Banks and Bank Systems, 15(3), 44–54. http://dx.doi.org/10.21511/bbs.15(3).2020.05
Dao, M.H., Nguyen, T.T., Dang, T.H., & Nguyen, T.L.T. (2018). Factors affecting the decision to use fintech services in payment activities of individual customers in Vietnam. Banking Science and Training Review, 194(7). http://210.245.26.173:6788/tapchi/08.2018/system/archivedate
Do, T.N.N. (2013). Study on factors affecting the acceptance of BIDV E-banking service by individual customers at BIDV – Da Nang branch. Master Thesis. Available at http://tailieuso.udn.vn/bitstream/TTHL_125/7890/2/DoThiNhuNgan.TT.pdf
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..
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior. MA: Addison- Wesley.
Jebarajakirthy, C., & Shankar, A. (2020). Impact of online convenience on mobile banking adoption intention: A moderated mediation approach. Journal of Retailing and Consumer Services, 58, 102323.
Hien, P.T.T. (2020). Factors affecting the individual customers' intention to use mobile banking services at Agribank Mang Thit District, Vinh Long Province. Review of Finance. Retrieved from http://tapchitaichinh.vn/tai-chinh-kinh-doanh/cac-yeu-to-anh-huong-den-y-dinh-su-dung-dich-vu-mobile-banking-cua-khach-hang-ca-nhan-tai-agribank-huyen-mang-thit-tinh-vinh-long-326639.html
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.
Hussain, S., Quddus, A., Tien, P.P., Rafiq, M., Pavelková, D. (2020). The moderating role of firm size and interest rate in capital structure of the firms: Selected sample from sugar sector of Pakistan. Investment Management and Financial Innovations, 17(4), 341–355. http://dx.doi.org/10.21511/imfi.17(4).2020.29
Li, F., Lu, H., Hou, M., Cui, K., & Darbandi, M. Customer satisfaction with bank services: The role of cloud services, security, e-learning and service quality. Technology in Society, 64, 101487.
Nguyen, N.L., & Nguyen, T.T.L. (2017). Regarding commercial bank selection decisions of individual customers. Review of Finance. Available at http://tapchitaichinh.vn/kinh-te-vi-mo/ve-quyet-dinh-lua-chon-ngan-hang-thuong-mai-cua-khach-hang-ca-nhan-129215.html
Nguyen, V.C., & Ao, T.H. (2020). The Reaction of Vietnam’s Generation Z to Online TV Advertising. Journal of Asian Finance, Economics and Business, 7(5), 177-184.
Picoto, W., & Pinto, I. (2020). Cultural impact on mobile banking use – A multi-method approach. Journal of Business Research. Available online 29 October 2020. https://doi.org/10.1016/j.jbusres.2020.10.024
Sinha, S., & Mukherjee, S. (2020). Sales strategies of banks: An empirical study of select private sector banks in India. Journal of Critical Reviews, 7(2), 62–66. doi: 10.31838/jcr.07.02.14
Thusi, P. and Maduku. D.K. (2020). South African millennials’ acceptance and use of retail mobile banking apps: An integrated perspective. Computers in Human Behavior, Volume 111, October 2020, 106405. https://doi.org/10.1016/j.chb.2020.106405.
Tran, Q.T., & Tran, N.A.T. (2020). Applying the CAMEL model to assess performance of commercial banks: empirical evidence from Vietnam. Banks and Bank Systems, 15(2), 167–176. doi: http://dx.doi.org/10.21511/bbs.15(2).2020.15