A study on the impacts of safety and security on consumer’s intention to use electronic wallets in Hanoi
-
DOIhttp://dx.doi.org/10.21511/im.20(4).2024.08
-
Article InfoVolume 20 2024, Issue #4, pp. 85-99
- 35 Views
-
11 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This article seeks to investigate how safety and security affect consumers’ tendency to use electronic wallets in Hanoi. The study was conducted based on data using Google Forms, with a total of 237 valid responses. For data analysis, this research employs quantitative techniques using SPSS 22 and AMOS 25 software. The results demonstrate that safety and security positively impact four factors in the following order: financial benefits (β = 0.853; p = 0.000), brand image (β = 0.830; p = 0.000), technology function (β = 0.708; p = 0.000), social influence (β = 0.589; p = 0.000). Particularly risk perception (β = –0.192; p = 0.013) is a factor that is inversely affected, whereby greater safety and security result in reduced perceived risk. The results also show that only social influence (β = 0.408; p = 0.000) and brand image (β = 0.172; p = 0.000) influence the willingness to adopt e-wallets. Therefore, the safety and security only indirectly influence the tendency to use e-wallets through two variables: social influence and brand image. The study provides recommendations for e-wallet service providers, identifies limitations, and suggests future research directions.
- Keywords
-
JEL Classification (Paper profile tab)C01, G41, M21
-
References54
-
Tables7
-
Figures3
-
- Figure 1. Research model
- Figure 2. CFA analysis results
- Figure 3. Structural equation modeling
-
- Table 1. Characteristics of survey respondents
- Table 2. Descriptive statistics
- Table 3. Reliability test
- Table 4. KMO and Barlett’s test
- Table 5. Rotated components
- Table 6. Regression analysis
- Table А1. Operationalization variable
-
- Amit, N. K., & Bhumiphat, G. (2019). E-Wallet- Factors Affecting Its Intention to Use. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 3411-3415.
- Ardiansah, M. N., Chariri, A., Rahardja, S., & Udin, U. (2020). The effect of electronic payments security on e-commerce consumer perception: An extended model of technology acceptance. Management Science Letters, 10(7), 1473-1480.
- Ariffin, S. K., Rahman, M. F. R. A., Muhammad, A. M., & Zhang, Q. (2021). Understanding the consumer’s intention to use the e-wallet services. Spanish Journal of Marketing - ESIC, 446-461.
- Baumgartner, H., & Homburg, C. (1996). Applications of Structural Equation Modeling in Marketing and Consumer Research: a review’. International Journal of Research in Marketing, 13(2), 139-161.
- Blokland, P. J., & Reniers, G. L. (2017). Safety and Performance: Total Respect Management (TR3M): a Novel Approach to Achieve Safety and Performance Pro-actively in any organisation. New York: Nova Science Pub Inc.
- Chandran, R., & Pitchandi, B. (2020). Determinants of behavioural intention on E-wallet usage: An empirical examination in amid of Covid – 19 lockdown period. International Journal of Management (IJM), 11(6), 92-104.
- Çavuşoğlu, S., Demirağ, B., Durmaz, Y., & Çıkmaz, G. (2021). The Impact of Brand Image and Brand Conscious on Perceived Price and Purchase Intention. Transnational Marketing Journal, 9(2), 389-405.
- Đặng, C. P., & Nguyễn, A. T (2021). Analyzing user behaviour about using e-wallets in Hanoi. FTU Working Paper Series, 2, 221-236.
- 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.
- Flavián, C., & Guinalíu, M. (2006). Cоnsumеr trust, реrcеivеd sеcuritу аnd privаcу роlicу: Thrее bаsic еlеmеnts оf lоуаltу tо а wеbsitе. Industriаl Mаnаgеmеnt & Dаtа Sуstеms, 106(5), 601-620.
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
- Gupta, P., & Hakhu, D. R. (2021). Impact of Perceived Security and Perceived Trust on Intention to Use Digital Payments – A Study on Indian Customers. Webology, 18(6), 169-181.
- Hair, J. F., Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate Data Analysis with Readings. New York: Pearson College Div.
- Hamzah, M. I., Ramli, F. A. A., & Shaw, N. (2023). The moderating influence of brand image on consumers’ adoption of QR-code e-wallets. Journal of Retailing and Consumer Services, 73(2), 1-41.
- Harishanthan, S., & Neruja, S. (2022). Factors influence on usage of e-wallets among millennials in the SriLankan context. Asian Journal of Marketing Management (AJMM), 11(1), 81-102.
- Hemchand, S. (2016). Adoption of sensor based communication for mobile marketing in India. Journal of Indian Business Research, 8(1), 65-76.
- Hiteshi, A. & Viral, B. (2020). Factors affecting the consumer’s adoption of E-wallets in India: An empirical study. Alochana Chakra Journal, 9(6), 1081-1093.
- Hoàng, H. T., Dương, N. T. H., & Phạm, T. H. (2021). An empirical analysis of factors affecting the intention of using digital wallets in Vietnam. Journal of International Economics and Management, 21, 86-107.
- Huong, Hoang Thi Thu; Nam, Vu Hoang; Chi, Nguyen Thi Khanh (2023). The impact of data security on the intention of Vietnamese consumers to use E-wallets. Dalat University Journal of Science, 3(4S), 3-29.
- Jaludin, J., & Nur, D. F. N. (2022). Investigating the Determinants of E-wallet Adoption Intention in Malaysia: An Empirical Study. International Journal of Academic Research in Business and Social Sciences, 12, 561-575.
- Junadi, S. (2015). A model of factors influencing consumer’s intention to use e-payment system in Indonesia. Procedia Computer Science, 214-220.
- Karim, M. W., Haque, A., Ulfy, M. A., & Hossain, A. (2020). Factors Influencing the Use of E-wallet as a Payment Method among Malaysian Young Adults. International Journal of Business and Management, 1-12.
- Kaur, R.; Li, Y.; Iqbal, J.; & Gonzalez, H. (2018). A Security Assessment of HCE-NFC Enabled E-Wallet Banking Android Apps. In Proceedings of Annual Computer Software and Applications Conference (pp. 492-497).
- Keller, K. L. (1993). Conceptualizing, Measuring, and Managing Customer-Based Brand Equity. Journal of Marketing, 57(1), 1-22.
- Kelvin Lee, M. Y., & Mohamad, J. (2022). Factors Affecting the Intention to Use E-Wallets During the COVID-19 Pandemic. Gadjah Mada International Journal of Business, 24, 82-100.
- Kim, C., Tao, W., Shin, N., & Kim, K.-S. (2010). An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce, Research and Applications, 9, 84-95.
- Latupeirissa, J., Paul, J., Gorda, O. S., & Subanda, N. (2020). Antecedents of Intention to Use E-wallet: The Development of Acceptance Model with PLS-SEM Approach. Journal of Adv Research in Dynamical & Control Systems, 12(7), 1416-1429.
- Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 227-244.
- Milberg, S. J.; Smith, H. J.; & Burke, S. J. (2000). Information privacy: Corporate management and national regulation. Organization Science, 11(1), 35-57.
- Nas, S. (2015). The Definitions of Safety and Security. Journal of ETA Maritime Science, 3(2), 53-54.
- Nguyễn, C. V., & Áo, H. T (2022). Factors affecting consumer behaviour to use e-wallets: an empirical study from Vietnam context. The VMOST Journal of Social Sciences and Humanities, 64, 10-24.
- Nguyễn, S. V., Nguyễn, N. T. T., & Nguyễn, L. T. (2021). Factors affecting the intention to use Momo e-wallet when shopping online of students at Ho Chi Minh City University of Industry. Journal of Science and Technology, 50, 31-42.
- Ojo, A. O., Fawehinmi, O., Ojo, T. O., Arasanmi, C., & Tan Nya-Ling, C. (2022). Consumer usage intention of electronic wallets during the COVID-19 pandemic in Malaysia. Cogent Business & Management, 9(1), 1-15.
- Pal, A., Herath, T., De’, R., & Rao, H. R. (2020). Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: insights from adopters in India. Information Technology for Development, 26(2), 394-420.
- Phạm, V. T., Đỗ, N., & Ngọc, Ý. H. N. (2021). The “e-Wallet Generation”: How Barriers and Promoting Factors Influence Intention to Use. The Review of Socionetwork Strategies, 15(5), 413-427.
- Phan, N. T., Hồ, V. T., & Lê Hoàng, V. P. (2020). Factors Affecting the Behavioral Intention and Behavior of Using E–Wallets of Youth in Vietnam. Journal of Asian Finance, Economics and Business, 7, 295-302.
- Pharot, I., & Chutima, B. (2018). Influencing Factor in E-Wallet Acceptant and Use. International Journal of Business and Administrative Studies, 4(4), 167-175.
- Prasetya, M. E., & Shuhidan, S. M. (2023). Security, Risk and Trust in E-wallet Payment Systems: Empirical Evidence from Indonesia. Management and Accounting Review, 22(1), 350-374.
- Qasim, H., & Abu-Shanab, E (2016). Drivers of mobile payment acceptance: The impact of network externalities. Information Systems Frontiers, 18, 1021-1034.
- Sharma, S. K., Mangla, S. K., Luthra, S., & Al-Salti, Z. (2018). Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model. Journal of Retailing and Consumer Services, 45, 52-63.
- Shin, D. H. (2013). User experience in social commerce: in friends we trust. Behaviour & Information Technology, 32(1), 52-67.
- Tô, N. P. V (2021). A study on the impact of risk perception on the intention to use e-wallets of office workers in Ho Chi Minh city. Journal of Science, Technology and Food, 21, 86-99.
- Trang, B. T. H., & Thanh, N. T. H. (2021). A study on the moderating impact of demographic factors on the intention to use e-wallets of individual customers in Vietnam. FTU Working Paper Series, 1(5), 50-67.
- Trivedi, J. (2016). Factors Determining the Acceptance of E-Wallet International. Journal of Applied Marketing and Management, 42-53.
- Tsai, S.-C., Chen, C.-H., & Shih, K.-C. (2022). Exploring Transaction Security on Consumers’ Willingness to Use Mobile Payment by Using the Technology Acceptance Model. Applied System Innovation, 3(6), 113.
- Tusyanah, T., Agus, W., & Muhammad, K. (2021). Analyzing Factors Affecting the Behavioral Intention to Use e-Wallet with the UTAUT Model with Experience as Moderating Variable. Journal of Economic Education, 10, 113-123.
- Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 26(2), 394-420.
- Verkijika, S. F. (2018). Factors influencing the adoption of mobile commerce applications in Cameroon. Telematics and Informatics, 35(6), 1665-1674.
- Vuong, B. N. (2021). Factors affecting customers’ intention to use e-wallets in Can Tho City: Application of PLS-SEM. Journal of Can Tho University, 57(5), 242-258.
- Wang, W., & Li, H. (2012). Factors influencing mobile services adoption: a brand-equity perspective. Internet Research, 22(2), 142-179.
- Wang, Y. H., & Tsai, C. F. (2014). The relationship between brand image and purchase intention: Evidence from award winning mutual funds. The International Journal of Business and Finance Research, 8(2), 27-40.
- Yang, X., Tseng, Y., & Lee, B. (2021). Merging the Social Influence Theory and the Goal-Framing Theory to Understand Consumers’ Green Purchasing Behavior: Does the Level of Sensitivity to Climate Change Really Matter? Frontiers in Psychology, 12, 1-13.
- Yoon, S. J. (2002). The antecedents and consequences of trust in online-purchase decisions. Journal of Interactive Marketing, 16(2), 47-63.
- Zhao, Z., & Balagué, C. (2015). Designing branded mobile apps: Fundamentals and recommendations. Business Horizons, 53(3), 305-315.