An investigation of students' intention to use E-payment service in Mobile Wallet in Ho Chi Minh City
Nội dung chính của bài viết
Tóm tắt
E-payment services have witnessed a surge in demand in recent years due to their convenient cashless transaction mode. Several studies have investigated the influence of the intention of individuals to use mobile wallets. However, the study aims to examine the key factors that impact students’ intention to use E-payment services in Ho Chi Minh City, Vietnam. The Technology Acceptance Model combines two factors from the extended version of TAM including perceived convenience and trust to develop a conceptual model for this study. The online survey of 310 students from some universities collected the data and the Smart PLS was used to analyze the data. The results of the study showed that perceived ease of use, perceived usefulness, trust, and perceived convenience have a positive influence on behavioral intention to use mobile wallets, while trust shows no positive effect on perceived usefulness.
Chi tiết bài viết
Từ khóa
E-payment, Mobile Wallet, TAM, Intention
Tài liệu tham khảo
Anh, T.T & Minh T.T.H. (2021). Understanding behavioral intention to use mobile wallets in Vietnam: Extending the tam model with trust and enjoyment, The Journal of Cogent Business and Management, 8: 1891661
Amoroso, D. L., & Watanabe, R. M. (2012). Building a research model for mobile wallet consumer adoption: The case of mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94–110. https://doi.org/10.4067/S0718-18762012000100008
Bich, D.N & Ninh. D.T.H (2020). An investigation of Generation Z’s intention to use Electronic Wallets in Vietnam, Journal of Distribution Science 18-10, 89-99
Chellappa, R., Pavlou, K., & Paul, A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368. https://doi.org/10.1108/09576050210447046
Chuttur, M. Y. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9–37. http://adam.co/lab/pdf/test/pdfs/ TAM Review.pd
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. https://doi.org/10.1016/j.elerap.2007.02.001
Dahlberg, T., Mallat, N., & Öörni, A. (2003). Trust enhanced technology acceptance model consumer acceptance of mobile payment solutions: Tentative evidence. Stockholm Mobility Roundtable, 22(1), 145
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. https://doi.org/ 10.1145/1644953.1644958
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q, 13(3), 319–340. https://doi.org/10. 2307/249008
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of ManMachine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
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. https://doi.org/10.1287/mnsc.35.8.982
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
Hair Jr, J., Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Horst, M., Kuttschreuter, M., & Gutteling, J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23(4), 1838-1852. https://doi.org/10.1016/j.chb.2005.11.003
Hossain, M. M. & Prybutok, V. R. (2008). Consumer acceptance of RFID technology: An exploratory study. IEEE Transactions on Engineering Management, 55(2), 316-328. http://dx.doi.org/10.1109/TEM.2008.919728
Hsu, H. H., & Chang, Y. Y. (2013). Extended TAM model: Impacts of convenience on acceptance and use of Moodle. Online Submission, 3(4), 211-218.
Jayasingh, S., & Eze, U. C. (2015). An empirical analysis of consumer behavioral intention towards mobile coupons in Malaysia. International Journal of Business and Information, 4(2), 221-242. https:// www.researchgate.net/publication/267206478
Khayati, S., & Zouaoui, S. K. (2013). Perceived usefulness and use of information technology: The moderating influences of the dependence of a subcontractor towards his contractor. Journal of Knowledge Management, Economics and Information Technology, 3(6), 68–77. https://citeseerx.ist.psu.edu/viewdoc/download?
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283–311. https://doi.org/10.1111/j.1365-2575.2007.00269.x
Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: Predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/ 02642069.2015.1043278
Lee, T. (2005). The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6(3), 165. http://www.jecr.org/sites/default/files/06_3_p01.pdf
Longyara, T., & Van, H. T. (2015). Diffusion of innovation in Asian: A study of mobile NFC (near field communication) payment in Korea and Thailand. International Journal of Managerial Studies and Research (IJMSR), 3(10), 36-42.
Liu, G. S., & Tai, P. T. (2016). A study of factors affecting the intention to use mobile payment services in Vietnam. Economics, 4(6), 249-273.
Kumar, M. S., & Krishnan, D. S. G. (2020). Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioural Intension to Use (BIU): Mediating effect of Attitude toward Use (AU) with reference to Mobile wallet Acceptance and Adoption in Rural India. http://dx.doi.org/10.2139/ssrn.3640059
Madan, K., & Yadav, R. (2016). Behavioral intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 8(3), 227–244. https://doi.org/10.1108/JIBR-10-2015-0112
Naufaldi, I., & Tjokrosaputro, M. (2020). Pengaruh perceived ease of use, perceived usefulness, dan trust terhadap intention to use. Jurnal Manajerial Dan Kewirausahaan, 2(3), 715-722.
Phuong, N. N. D., Luan, L. T., Dong, V. V., & Khanh, N. L. N. (2020). Examining Customers' Continuance Intentions towards E-wallet Usage: The Emergence of Mobile Payment Acceptance in Vietnam. The Journal of Asian Finance, Economics, and Business, 7(9), 505-516
Pousttchi, K., & Wiedemann, D. G. (2007). What influences consumers’ intention to use mobile payments. LA Global Mobility Round table, 1–16. https://www.researchgate.net/profile/Key_Pousttchi/publication/ 228453033_What_influences_consumers'_intention_to_use_mobile_payments/links/ 0fcfd50f93b6775b68000000.pdf
Redzuan, N., Razali, A., Muslim, A., & Hanafi, W. (2016). Studying perceived usefulness and perceived ease of use of electronic human resource management (e-HRM) with behavior intention. International Journal of Business Management (IJBM), 1(2),118–131. https://dokumen.tips/documents/studyingperceived-usefulness-and-perceived-ease-ofvolume-1-issue-2-20166intention.html
Rigopoulos, G., Askounis. (2007). D. A TAM framework to evaluate users’ perception towards online electronic payments. Journal of Internet Banking and Commerce, 12(3), 1–6. https://www.researchgate.net/publication/ 37406649_A_TAM_Framework_to_Evaluate_Users'_Perception_towards_Online_Electronic_Payments
Rouibah, K., Lowry, P. B., & Hwang, Y. (2016). The effects of perceived enjoyment and perceived risks on trust formation and intentions to use online payment systems: New perspectives from an Arab country. Electronic Commerce Research and Applications, 19, 33–43. https://doi.org/10.1016/j.elerap.2016.07.001
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. https://doi.org/10.1016/j.elerap.2009.07.005
Setyadinsa, R., Shihab, M. R., & Sucahyo, Y. (2018). Individual factors as antecedents of mobile payment usage. Proceeding of the Electrical Engineering Computer Science and Informatics, 5(5), 514–518. https://doi.org/10.11591/eecsi.v5.1678
Shaw, N. (2014). The mediating influence of trust in the adoption of the mobile wallet. Journal of Retailing and Consumer Services, 21(4), 449–459. https://doi.org/10.1016/j.jretconser.2014.03.008
Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191-205. https://doi.org/10.1016/jijinfomgt
Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392. https://doi.org/10.1108/IntR-12-2012-0244
Van Der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704. https://doi.org/10.2307/25148660
Shafira, V., & Yasri, Y. (2021). The influence of perceived ease of use, perceived usefulness, and perceived risk on intention to use Gopay on Gojek application users. Operations Management and Information System Studies, 1(4), 240-249. https://doi.org/10.24036/omiss.v1i4.42
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. https://doi.org/10.2307/30036540
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. https://doi.org/10.2307/41410412
Vuong, B. N., & Giao, H. N. K. (2020). The impact of perceived brand globalness on consumers’purchase intention and the moderating role of consumer ethnocentrism: An evidence from Vietnam. Journal of International ConsumerMarketing, 32(1), 47-68
Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102-112.
Amoroso, D. L., & Watanabe, R. M. (2012). Building a research model for mobile wallet consumer adoption: The case of mobile Suica in Japan. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 94–110. https://doi.org/10.4067/S0718-18762012000100008
Bich, D.N & Ninh. D.T.H (2020). An investigation of Generation Z’s intention to use Electronic Wallets in Vietnam, Journal of Distribution Science 18-10, 89-99
Chellappa, R., Pavlou, K., & Paul, A. (2002). Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368. https://doi.org/10.1108/09576050210447046
Chuttur, M. Y. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Working Papers on Information Systems, 9(37), 9–37. http://adam.co/lab/pdf/test/pdfs/ TAM Review.pd
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. https://doi.org/10.1016/j.elerap.2007.02.001
Dahlberg, T., Mallat, N., & Öörni, A. (2003). Trust enhanced technology acceptance model consumer acceptance of mobile payment solutions: Tentative evidence. Stockholm Mobility Roundtable, 22(1), 145
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. https://doi.org/ 10.1145/1644953.1644958
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q, 13(3), 319–340. https://doi.org/10. 2307/249008
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of ManMachine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
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. https://doi.org/10.1287/mnsc.35.8.982
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
Hair Jr, J., Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Horst, M., Kuttschreuter, M., & Gutteling, J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23(4), 1838-1852. https://doi.org/10.1016/j.chb.2005.11.003
Hossain, M. M. & Prybutok, V. R. (2008). Consumer acceptance of RFID technology: An exploratory study. IEEE Transactions on Engineering Management, 55(2), 316-328. http://dx.doi.org/10.1109/TEM.2008.919728
Hsu, H. H., & Chang, Y. Y. (2013). Extended TAM model: Impacts of convenience on acceptance and use of Moodle. Online Submission, 3(4), 211-218.
Jayasingh, S., & Eze, U. C. (2015). An empirical analysis of consumer behavioral intention towards mobile coupons in Malaysia. International Journal of Business and Information, 4(2), 221-242. https:// www.researchgate.net/publication/267206478
Khayati, S., & Zouaoui, S. K. (2013). Perceived usefulness and use of information technology: The moderating influences of the dependence of a subcontractor towards his contractor. Journal of Knowledge Management, Economics and Information Technology, 3(6), 68–77. https://citeseerx.ist.psu.edu/viewdoc/download?
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283–311. https://doi.org/10.1111/j.1365-2575.2007.00269.x
Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: Predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/ 02642069.2015.1043278
Lee, T. (2005). The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6(3), 165. http://www.jecr.org/sites/default/files/06_3_p01.pdf
Longyara, T., & Van, H. T. (2015). Diffusion of innovation in Asian: A study of mobile NFC (near field communication) payment in Korea and Thailand. International Journal of Managerial Studies and Research (IJMSR), 3(10), 36-42.
Liu, G. S., & Tai, P. T. (2016). A study of factors affecting the intention to use mobile payment services in Vietnam. Economics, 4(6), 249-273.
Kumar, M. S., & Krishnan, D. S. G. (2020). Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioural Intension to Use (BIU): Mediating effect of Attitude toward Use (AU) with reference to Mobile wallet Acceptance and Adoption in Rural India. http://dx.doi.org/10.2139/ssrn.3640059
Madan, K., & Yadav, R. (2016). Behavioral intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 8(3), 227–244. https://doi.org/10.1108/JIBR-10-2015-0112
Naufaldi, I., & Tjokrosaputro, M. (2020). Pengaruh perceived ease of use, perceived usefulness, dan trust terhadap intention to use. Jurnal Manajerial Dan Kewirausahaan, 2(3), 715-722.
Phuong, N. N. D., Luan, L. T., Dong, V. V., & Khanh, N. L. N. (2020). Examining Customers' Continuance Intentions towards E-wallet Usage: The Emergence of Mobile Payment Acceptance in Vietnam. The Journal of Asian Finance, Economics, and Business, 7(9), 505-516
Pousttchi, K., & Wiedemann, D. G. (2007). What influences consumers’ intention to use mobile payments. LA Global Mobility Round table, 1–16. https://www.researchgate.net/profile/Key_Pousttchi/publication/ 228453033_What_influences_consumers'_intention_to_use_mobile_payments/links/ 0fcfd50f93b6775b68000000.pdf
Redzuan, N., Razali, A., Muslim, A., & Hanafi, W. (2016). Studying perceived usefulness and perceived ease of use of electronic human resource management (e-HRM) with behavior intention. International Journal of Business Management (IJBM), 1(2),118–131. https://dokumen.tips/documents/studyingperceived-usefulness-and-perceived-ease-ofvolume-1-issue-2-20166intention.html
Rigopoulos, G., Askounis. (2007). D. A TAM framework to evaluate users’ perception towards online electronic payments. Journal of Internet Banking and Commerce, 12(3), 1–6. https://www.researchgate.net/publication/ 37406649_A_TAM_Framework_to_Evaluate_Users'_Perception_towards_Online_Electronic_Payments
Rouibah, K., Lowry, P. B., & Hwang, Y. (2016). The effects of perceived enjoyment and perceived risks on trust formation and intentions to use online payment systems: New perspectives from an Arab country. Electronic Commerce Research and Applications, 19, 33–43. https://doi.org/10.1016/j.elerap.2016.07.001
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. https://doi.org/10.1016/j.elerap.2009.07.005
Setyadinsa, R., Shihab, M. R., & Sucahyo, Y. (2018). Individual factors as antecedents of mobile payment usage. Proceeding of the Electrical Engineering Computer Science and Informatics, 5(5), 514–518. https://doi.org/10.11591/eecsi.v5.1678
Shaw, N. (2014). The mediating influence of trust in the adoption of the mobile wallet. Journal of Retailing and Consumer Services, 21(4), 449–459. https://doi.org/10.1016/j.jretconser.2014.03.008
Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191-205. https://doi.org/10.1016/jijinfomgt
Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392. https://doi.org/10.1108/IntR-12-2012-0244
Van Der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704. https://doi.org/10.2307/25148660
Shafira, V., & Yasri, Y. (2021). The influence of perceived ease of use, perceived usefulness, and perceived risk on intention to use Gopay on Gojek application users. Operations Management and Information System Studies, 1(4), 240-249. https://doi.org/10.24036/omiss.v1i4.42
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. https://doi.org/10.2307/30036540
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. https://doi.org/10.2307/41410412
Vuong, B. N., & Giao, H. N. K. (2020). The impact of perceived brand globalness on consumers’purchase intention and the moderating role of consumer ethnocentrism: An evidence from Vietnam. Journal of International ConsumerMarketing, 32(1), 47-68
Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102-112.