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http://dx.doi.org/10.13106/jafeb.2020.vol7.no11.393

Behavioral Intention to Accept and Use Banking Service  

NGAN, Nguyen Thi (Faculty of Business Administration, Industrial University of Ho Chi Minh City)
KHOI, Bui Huy (Faculty of Business Administration, Industrial University of Ho Chi Minh City)
Publication Information
The Journal of Asian Finance, Economics and Business / v.7, no.11, 2020 , pp. 393-400 More about this Journal
Abstract
Banking service is provided by a bank that allows its customers to conduct banking transactions and so the purpose of this study was to identify the factors that influenced the behavioral intention to accept and use banking services in Vietnam. The research methodology was implemented through two steps: qualitative research and quantitative research. Qualitative research was conducted with a sample of 30 people. Quantitative research was carried out as soon as the question was edited from the test results with a sample of 217 customers living in Ho Chi Minh City, Vietnam. The research model was proposed from the studies of the behavioral intentions to accept and use banking service. The reliability and validity of the scale were evaluated by Cronbach's Alpha, Average Variance Extracted (Pvc), and Composite Reliability (Pc). The model selection of AIC showed that the behavioral intention to accept and use banking service was impacted by four components. The outcomes showed that the model of research intended to accept and use banking services in Ho Chi Minh, Vietnam showing the effects of 4 scales is built as perceived ease of use, trust, social norm, and innovation about banking services.
Keywords
Banking Service; Consumer Behavior; Behavioral Intention; Social Norm; Technology Acceptance Model; Vietnam;
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1 Phan, D. T. T., Nguyen, T. T. H., & Bui, T. A. (2019). Going beyond Border? Intention to Use International Bank Cards in Vietnam. Journal of Asian Finance, Economics and Business, 6(3), 315-325. https://doi.org/10.13106/jafeb.2019.vol6.no3.315   DOI
2 Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.   DOI
3 Sharma, S. K., Govindaluri, S. M., Al-Muharrami, S., & Tarhini, A. (2017). A multi-analytical model for mobile banking adoption: A developing country perspective. Review of International Business and Strategy, 27(1), 133-148.   DOI
4 Singh, S., & Srivastava, R. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357-378.   DOI
5 Sripalawat, J., Thongmak, M., & Ngramyarn, A. (2011). M-banking in metropolitan Bangkok and a comparison with other countries. Journal of Computer Information Systems, 51(3), 67-76.
6 Steenkamp, J. B. E., & Gielens, K. (2003). Consumer and market drivers of the trial probability of new consumer packaged goods. Journal of Consumer Research, 30(3), 368-384.   DOI
7 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. DOI:10.2307/30036540   DOI
8 Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs. China. Journal of Global Information Technology Management, 13(1), 5-27.   DOI
9 Yu, Y., Yi, W., Feng, Y., & Liu, J. (2018). Understanding the Intention to Use Commercial Bike-sharing Systems: An Integration of TAM and TPB. In: Proceedings of the 51st Hawaii International Conference on System Sciences.
10 Wong, K. K.-K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
11 Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: An application of UTAUT model. International Journal of Business and Management, 6(4), 161.
12 Ajzen, I. (2010). Constructing a theory of planned behavior questionnaire. Retrieved from: http://www.people.umass.edu/aizen/pdf/tpb.measurement.pdf.
13 Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28-44.   DOI
14 Dasgupta, S., Paul, R., & Fuloria, S. (2011). Factors affecting behavioral intentions towards mobile banking usage: Empirical evidence from India. Romanian Journal of Marketing, 6(1).
15 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.   DOI
16 De Leon, M. V. (2019). Factors influencing behavioural intention to use mobile banking among retail banking clients. Jurnal Studi Komunikasi, 3(2), 118-137.
17 Gunawardena, L., Hemachandra, D., & Kodithuwakku, S. S. (2018). Career Intention of Undergraduate Students: An Application of Theory of Planned Behavior. IUP Journal of Entrepreneurship Development, 15(1), 7-27.
18 Ajzen, I. (2005). Attitudes, personality, and behavior. London, UK: McGraw-Hill Education.
19 Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45, 616-632. https://doi.org/10.1007/s11747-017-0517-x   DOI
20 Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles, CA: Sage Publications.
21 Jaruwachirathanakul, B., & Fink, D. (2005). Internet banking adoption strategies for a developing country: The case of Thailand. Internet Research, 15(3), 295-311.   DOI
22 Hastie, T., Tibshirani, R., & Friedman, J. (2017). The elements of statistical learning: data mining, inference and prediction (2nd ed.). New York, NY: Springer.
23 Hastie, T., Tibshirani, R., & Wainwright, M. (2015). Statistical learning with sparsity: the lasso and generalizations. Boca Raton, FL: Chapman and Hall/CRC.
24 Hengky Latan, & Richard Noonan. (2017). Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications. New York, NY: Springer.
25 Im, S., Mason, C. H., & Houston, M. B. (2007). Does innate consumer innovativeness relate to new product/service adoption behavior?: The intervening role of social learning via vicarious innovativeness. Journal of the Academy of Marketing Science, 35(1), 63-75.   DOI
26 Jani, D., & Han, H. (2015). Influence of environmental stimuli on hotel customer emotional loyalty response: Testing the moderating effect of the big five personality factors. International Journal of Hospitality Management, 44, 48-57.   DOI
27 Kaur, H., & Soch, H. (2012). Validating antecedents of customer loyalty for Indian cell phone users. Vikalpa, 37(4), 47-62.   DOI
28 Kumar, V. R., Lall, A., & Mane, T. (2017). Extending the TAM model: Intention of management students to use mobile banking: Evidence from India. Global Business Review, 18(1), 238-249.   DOI
29 Lai, S. L., Pham, H.-H., & Le, A.-V. (2019). Toward Sustainable Overseas Mobility of Vietnamese Students: Understanding Determinants of Attitudinal and Behavioral Loyalty in Students of Higher Education. Sustainability, 11(2), 383. https://doi.org/10.3390/su11020383   DOI
30 Lazim, D., Shah, Z. A., Saedudin, R. R., Kasim, S., Azadin, A. A., Hidayat, R., & Ansari Saleh Ahmar, I. A. (2018). Information Management and PSM Evaluation System. International Journal of Engineering and Technology, 7(1.6), 17-19.
31 Le, H. B. H., Ngo, C. T., Trinh, T. T. H., & Nguyen, T. T. P. (2020). Factor Affecting Customers' Decision to Use Mobile Banking Service: A Case of Thanh Hoa Province, Vietnam. Journal of Asian Finance, Economics and Business, 7(2), 205-212. https://doi.org/10.13106/jafeb.2020.vol7.no2.205   DOI
32 Makanyeza, C. (2017). Determinants of consumers' intention to adopt mobile banking services in Zimbabwe. International Journal of Bank Marketing, 35(6), 997-1017.   DOI
33 Muchran, M., & Ahmar, A. S. (2019). Application of TAM model to the use of information technology. arXiv preprint arXiv:1901.11358.
34 Nguyen, H. Q., & Le, O. T. T. (2020). Factors Affecting the Intention to Apply Management Accounting in Enterprises in Vietnam. Journal of Asian Finance, Economics, and Business, 7(6), 95-107. https://doi.org/10.13106/jafeb.2020.vol7.no6.095   DOI
35 Nunnally, J. C., & Bernstein, I. (1994). The assessment of reliability. Psychometric Theory, 3(1), 248-292.
36 Oliver, R. L. (2014). Satisfaction: A behavioral perspective on the consumer: A behavioral perspective on the consumer. London, UK: Routledge.
37 Park, E., Lim, J., & Cho, Y. (2018). Understanding the Emergence and Social Acceptance of Electric Vehicles as Next-Generation Models for the Automobile Industry. Sustainability, 10(3), 662. https://doi.org/10.3390/su10030662   DOI