Ý định sử dụng dịch vụ ngân hàng số đối với người cao tuổi: Trường hợp tại Việt Nam

Các tác giả

  • Trần Thị Thanh Nga Trường Đại học Tài chính – Markeing Tác giả

DOI:

https://doi.org/10.24311/jabes/2022.33.08.05

Tóm tắt

Nghiên cứu dựa trên lý thuyết chấp nhận công nghệ (TAM) và lý thuyết hành vi có hoạch định (TPB) để giải thích và dự đoán các mối liên hệ của các yếu tố liên quan đến ý định sử dụng dịch vụ ngân hàng số của người cao tuổi. Với 350 mẫu khách hàng đã được đưa vào phân tích và kiểm định giả thuyết thông qua mô hình cấu trúc tuyến tính dựa trên hiệp phương sai (CB-SEM). Kết quả cho thấy, ý định sử dụng ngân hàng số của người cao tuổi chủ yếu chịu ảnh hưởng của tính hữu ích và thái độ của người cao tuổi. Phát hiện của nghiên cứu này có thể giúp các nhà quản trị ngân hàng phát triển các chiến lược tốt hơn để tăng ý định tiếp tục sử dụng ngân hàng số đối với người cao tuổi. 

Tài liệu tham khảo

Ahmad, A., Rasul, T., Yousaf, A., & Zaman, U. (2020). Understanding factors influencing elderly diabetic patients’ continuance intention to use digital health wearables: Extending the Technology Acceptance Model (TAM). Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 1–15.

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

Alalwan, A. A., Algharabat, R. S., Baabdullah, A. M., Rana, N. P., Raman, R., Dwivedi, R., & Aljafari, A. (2019). Examining the impact of social commerce dimensions on customers' value cocreation: The mediating effect of social trust. Journal of Consumer Behaviour, 18(6), 431–446.

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Simintiras, A. C. (2016). Jordanian consumers’ adoption of telebanking influence of perceived usefulness, trust and self-efficacy. International Journal of Bank Marketing, 34(5), 690–709.

Ananda, S., Devesh, S., & Al Lawati, A. M. (2020). What factors drive the adoption of digital banking? An empirical study from the perspective of Omani retail banking. Journal of Financial Services Marketing, 25(1), 14–24.

Anggraeni, R., Hapsari, R., & Muslim, N. A. (2021). Examining factors influencing consumers intention and usage of digital banking: Evidence from Indonesian digital banking customers. Asia Pacific Management and Business Application, 9(3), 193–210.

Anouze, A. L. M., & Alamro, A. S. (2019). Factors affecting intention to use e-banking in Jordan. International Journal of Bank Marketing, 38(1), 86–112.

Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Management, 44, 38–52.

Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421–458.

Benbasat, I., & Barki, H. (2007). Quovadis TAM, Technology Acceptance Model?. Journal of the Association for Information Systems, 8(4), 212–218.

Bharti, M. (2016). Impact of dimensions of mobile banking on user satisfaction. Journal of Internet Banking and Commerce, 21(1), 1–22.

Chaumon, B. M.-E., Michel, C., Bernard, F. T., & Croisile, B. (2014). Can ICT improve the quality of life of elderly adults living in residential home care units? From actual impacts to hidden artefacts. Behaviour & Information Technology, 33(6), 574–590.

Chaouali, W., Yahia, I. B., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customers’ intention to adopt internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28(C), 209–218.

Chen, K., & Chan, A. H. (2014). Predictors of gerontechnology acceptance by older Hong Kong Chinese. Technovation, 34(2), 126–135.

Chen, L., Chen, T. L., Lin, C.-J., & Liu, H.-K. J. (2019). Preschool teachers’ perception of the application of information communication technology (ICT) in Taiwan. Sustainability, 11(1), 114–127.

Cotten, S. R., Ford, G., Ford, S., & Hale, T. M. (2014). Internet use and depression among retired older adults in the United States: A longitudinal analysis. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69(5), 763–771.

Dai, H., & Palvi, P. C. (2009). Mobile commerce adoption in China and the United States: A cross-cultural study. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 40(4), 43–61.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 31(3), 319–340.

Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2), 130–132.

Francis, J., Rikard, R. V., Cotten, S. R., & Kadylak, T. (2019). Does ICT use matter? How information and communication technology use affects perceived mattering among a predominantly female sample of older adults residing in retirement communities. Information, Communication & Society, 22(9), 1281–1294.

Hà Nam Khánh Giao, & Hà Minh Đạt. (2014). Đánh giá các yếu tố lựa chọn ngân hàng thương mại tại TP. Hồ Chí Minh của người cao tuổi. Tạp chí Phát triển kinh tế, 280, 97–115.

Hair, J., Black, W., Babin, B., & Anderson, R. (2009). Multivariate Data Analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.

Hair, Jr. J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertising: Review and recommendations. Journal of Advertising, 46(1), 163–177.

Hamidi, H., & Safareeyeh, M. (2019). A model to analyze the effect of mobile banking adoption on customer interaction and satisfaction: A case study of m-banking in Iran. Telematics and Informatics, 38(1), 166–181.

Haq, I. U., & Awan, T. M. (2020). Impact of e-banking service quality on e-loyalty in pandemic times through interplay of e-satisfaction. Vilakshan–XIMB Journal of Management. Retrieved from https://www.semanticscholar.org/paper/Impact-of-e-banking-service-quality-on-e-loyalty-in-Haq-Awan/aba984655d76e8b571fd6300626490e98f89fe4c

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.

Hu, Y.-C., & Liao, P.-C. (2011). Finding critical criteria for evaluating electronic service quality of internet banking using fuzzy multiple-criteria decision making. Applied Soft Computing, 11(4), 3764–3770.

Hulland, J., Chow, Y. H., & Lam, S. (1996). Use of causal models in marketing research: A review. International Journal of Research in Marketing, 13(2), 181–197.

Hutton, D. (2008). Older people in emergencies: Considerations for action and policy development. World Health Organization. Retrieved from https://www.refworld.org/docid/493653482.html

Kizgin, H., Jamal, A., Dey, B. L., & Rana, N. P. (2018). The impact of social media on consumers’ acculturation and purchase intentions. Information Systems Frontiers, 20(3), 503–514.

Ky, S. S., Rugemintwari, C., & Sauviat, A. (2021). Friends or foes? Mobile money interaction with formal and informal finance. Telecommunications Polic, 45(1), 102057.

Lai, H.-J. (2020). Investigating older adults’ decisions to use mobile devices for learning, based on the unified theory of acceptance and use of technology. Interactive Learning Environments, 28(7), 890–901.

Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017). A SEM neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management, 37(2), 14–24.

Ling, G. M., Fern, Y. S., Boon, L. K., & Huat, T. S. (2016). Understanding customer satisfaction of internet banking: A case study in Malacca. Procedia Economics and Finance, 37(1), 80–85. doi: 10.1016/S2212-5671(16)30096-X

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.

Mbama, C. I., Ezepue, P., Alboul, L., & Beer, M. (2018). Digital banking, customer experience and financial performance: UK bank managers’ perceptions. Journal of Research in Interactive Marketing, 12(1), 432–451.

Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J.,…, & Sharit, J. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26(6), 1710–1721.

Montazemi, A. R., & Qahri-Saremi, H. (2015). Factors affecting adoption of online banking: A meta-analytic structural equation modeling study. Information & Management, 52(2), 210–226.

Nef, T., Ganea, R. L., Müri, R. M., & Mosimann, U. P. (2013). Social networking sites and older users–a systematic review. International Psychogeriatrics, 25(7), 1041–1053.

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), 680–697.

Nunnally, J. C. (1994). Psychometric Theory 3E. New York: Tata McGraw-Hill Education.

Oruç, Ö. E., & Tatar, Ç. (2017). An investigation of factors that affect internet banking usage based on structural equation modeling. Computers in Human Behavior, 66(1), 232–235.

Quaosar, G. A. A., Hoque, M. R., & Bao, Y. (2018). Investigating factors affecting elderly's intention to use m-health services: An empirical study. Telemedicine and e-Health, 24(4), 309–314.

Sajić, M., Bundalo, Z., & Bundalo, D. (2019). Defining the need for and proposing how to transform traditional into digital banks with the support of information and mobile technologies. The European Journal of Applied Economics, 16(1), 59–76.

Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142.

Shankar, A., & Jebarajakirthy, C. (2019). The influence of e-banking service quality on customer loyalty: A moderated mediation approach. International Journal of Bank Marketing, 37(5),

1119–1142.

Shankar, V., & Narang, U. (2020). Emerging market innovations: Unique and differential drivers, practitioner implications, and research agenda. Journal of the Academy of Marketing Science, 48(5), 1030–1052.

Shih, K. H., Chang, C. J., & Lin, B. (2010). Assessing knowledge creation and intellectual capital in banking industry. Journal of Intellectual Capital, 11(1), 74–89.

Steenkamp, J.-B. E., & van Trijp, H. C. (1991). The use of LISREL in validating marketing constructs. International Journal of Research in Marketing, 8(4), 283–299.

Suoranta, M., & Mattila, M. (2004). Mobile banking and consumer behaviour: New insights into the diffusion pattern. Journal of Financial Services Marketing, 8(4), 354–366.

Tarhini, A. M., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon. Information Technology and People, 129(4), 830–849.

Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in marketing, 12(2), 137–155.

Tsai, H.-Y. S., Shillair, R., Cotten, S. R., Winstead, V., & Yost, E. (2015). Getting grandma online: Are tablets the answer for increasing digital inclusion for older adults in the U.S.?. Educational Gerontology, 41(10), 695–709. doi: 10.1080/03601277.2015.1048165

Tréguer, J.-P. (2009). Marketing cho khách hàng trung niên. Việt Nam: NXB Lao động - Xã hội.

Tổng cục Thống kê. (2021). Già hóa dân số và người cao tuổi ở Việt Nam. Truy cập từ https://www.gso.gov.vn/wp-content/uploads/2021/08/Dan-so-gia-hoaVI.pdf

Wang, Q., & Sun, X. (2016). Investigating gameplay intention of the elderly using an Extended Technology Acceptance Model (ETAM). Technological Forecasting and Social Change, 107(1), 59–68.

Wikipedia. (2012). Adobe Authorware. Retrieved from https://en.wikipedia.org/wiki/Adobe_Authorware

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Đã Xuất bản

03.07.2026

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Bài nghiên cứu

Cách trích dẫn

Trần Thị Thanh, N. (2026). Ý định sử dụng dịch vụ ngân hàng số đối với người cao tuổi: Trường hợp tại Việt Nam. Tạp chí Nghiên cứu Kinh tế và Kinh doanh Châu Á, 33(8), 67-81. https://doi.org/10.24311/jabes/2022.33.08.05