References
- Agarwal, R., & Karahanna, R. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–14. https://doi.org/https://doi.org/10.2307/3250951
- Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100–110. https://doi.org/https://doi.org/10.1016/j.techsoc.2018.06.007
- 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/https://doi.org/10.4067/S0718-18762012000100008
- Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411. https://doi.org/https://doi.org/10.1037/0033-2909.103.3.411
- Apanasevic, T., Markendahl, J., & Arvidsson, N. (2016). Stakeholders’ expectations of mobile payment in retail: Lessons from Sweden. International Journal of Bank Marketing, 34(1), 37–61. https://doi.org/https://doi.org/10.1108/IJBM-06-2014-0064
- Bentler, P. M., & Dudgeon, P. (1996). Covariance structure analysis: Statistical practice, theory, and directions. Annual Review of Psychology, 47(1), 563–592. https://doi.org/https://doi.org/10.1146/annurev.psych.47.1.563
- British Business Group Vietnam. (2019). Vietnam 2019 – Fintech. https://bbgv.org/business-center/knowledge/sector-reports-knowledge/vietnam-2019-fintech/
- Chellappa, R., Pavlou, K., & Paul, A. (2002). Perceived information security, financial liability and coonsumer trust in electronic commerce transactions. Logistics Information Management, 15(5/6), 358–368. https://doi.org/https://doi.org/10.1108/09576050210447046
- Cheng, Y. H., & Huang, T. Y. (2013). High speed rail passengers’ mobile ticketing adoption. Transportation Research Part C: Emerging Technologies, 30, 143–160. https://doi.org/https://doi.org/10.1016/j.trc.2013.02.001
- Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535. https://doi.org/https://doi.org/10.1016/S0022-4359(01)00056-2
- 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/TAMReview.pdf
- 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/https://doi.org/10.1016/j.elerap.2007.02.001
- Dahlberg, T., Mallat, N., & Öörni, A. (2003). Trust enhanced technology acceptance modelconsumer acceptance of mobile payment solutions: Tentative evidence. Stockholm Mobility Roundtable, 22(1), 145. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.200.7189&rep=rep1&type=pdf
- 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/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/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/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/https://doi.org/10.1287/mnsc.35.8.982
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
- Duane, A., O’Reilly, P., & Andreev, P. (2014). Realising M-Payments: Modelling consumers’ willingness to M-pay using Smart Phones. Behaviour & Information Technology, 33(4), 318–334. https://doi.org/http://dx.doi.org/10.1080/0144929X.2012.745608
- 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/https://doi.org/10.1007/s10796-017-9774-y
- Francisco, L. C., Francisco, M. L., & Juan, S. F. (2015). Payment systems in new electronic environments: Consumer behavior in payment systems via SMS. International Journal of Information Technology & Decision Making, 14(2), 421–449. https://doi.org/https://doi.org/10.1142/S0219622015500078
- G. C., B., II, & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58(5), 553–558. https://doi.org/https://doi.org/10.1016/j.jbusres.2003.08.002
- Gao, L., & Waechter, K. A. (2017). Examining the role of initial trust in user adoption of mobile payment services: An empirical investigation. Information Systems Frontiers, 19(3), 525–548. https://doi.org/https://doi.org/10.1007/s10796-015-9611-0
- 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/https://doi.org/10.2307/30036519
- Hair, J. F., Anderson, R. E., Tatham, R. L., & William, C. B. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.
- Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60. https://academic-publishing.org/index.php/ejbrm/article/view/1224/1187
- Hu, L. T., & 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. https://doi.org/https://doi.org/10.1080/10705519909540118
- Iman, N. (2018). Is mobile payment still relevant in the fintech era? Electronic Commerce Research and Applications, 30, 72–82. https://doi.org/https://doi.org/10.1016/j.elerap.2018.05.009
- Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), JCMC526. https://doi.org/https://doi.org/10.1111/j.1083-6101.1999.tb00337.x
- Jayasingh, S., & Eze, U. C. (2015). An empirical analysis of consumer behavioural intention towards mobile coupons in Malaysia. International Journal of Business and Information, 4(2), 221-242. https://www.researchgate.net/publication/267206478_An_Empirical_Analysis_of_Consumer_Behavioral_Intention_Toward_Mobile_Coupons_in_Malaysia
- Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460–474. https://doi.org/https://doi.org/10.1016/j.chb.2017.01.001
- 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/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/https://doi.org/10.1080/02642069.2015.1043278
- Lee, J. (2019). Vietnam and Thailand lead drive to make Southeast Asia cashless. https://asia.nikkei.com/Business/Business-trends/Vietnam-and-Thailand-lead-drive-to-make-Southeast-Asia-cashless
- Lee, M., Cheung, K. O., Christy, M. K., & Chen, Z. (2005). Acceptance of internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42, 1094–1104. https://doi.org/https://doi.org/10.1016/j.im.2003.10.007
- 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
- Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604–5620. https://doi.org/https://doi.org/10.1016/j.eswa.2013.04.018
- Li, D., Chau, P. Y. K., & Lou, H. (2005). Understanding individual adoption of instant messaging: An empirical investigation. Journal of the Association for Information Systems, 6(4), 102–126. https://doi.org/https://doi.org/10.17705/1jais.00066
- Liébana-Cabanillas, F. L., Marinkovic, V., Luna, I. R., & Kalinic, Z. (2018). Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach. Technological Forecasting and Social Change, 129, 117–130. https://doi.org/https://doi.org/10.1016/j.techfore.2017.12.015
- Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234. https://doi.org/https://doi.org/10.1016/j.dss.2010.02.008
- 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/https://doi.org/10.1108/JIBR-10-2015-0112
- Matemba, E. D., & Li, G. (2018). Consumers’ willingness to adopt and use WeChat wallet: An empirical study in South Africa. Technology in Society, 53, 55–68. https://doi.org/https://doi.org/10.1016/j.techsoc.2017.12.001
- Morgan, J. P. (2019). E-commerce payments trends: Vietnam. J.P. Morgan. https://www.jpmorgan.com/merchant-services/insights/reports/vietnam
- Nysveen, H., Pedersen, P. E., & Thorbornsen, H. (2005). Intention to use mobile services: Antecedents and cross-service comparison. Journal of the Academy of Marketing Science, 33(3), 330–346. https://doi.org/https://doi.org/10.1177/0092070305276149
- Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/https://doi.org/10.1016/j.chb.2016.03.030
- Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://edisciplinas.usp.br/pluginfile.php/941339/mod_resource/content/1/ConsumEcomPavlou.pdf
- 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/studying-perceived-usefulness-and-perceived-ease-of-volume-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/237406649_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/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/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/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/https://doi.org/10.1016/j.jretconser.2014.03.008
- Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354. https://doi.org/https://doi.org/10.1016/j.chb.2009.06.001
- 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/https://doi.org/10.1016/jijinfomgt.
- Singh, N., Srivastava, S., & Sinha, N. (2017). Consumer preference and satisfaction of M-wallets: A study on North Indian consumers. International Journal of Bank Marketing.
- Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209–223. https://doi.org/https://doi.org/10.1080/0965254X.2014.914075
- Soper, D. S. (2019). A-priori sample size calculator for structural equation models [software]. https://www.danielsoper.com/statcalc
- Sun, H., & Zhang, P. (2006). Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach. Journal of the Association for Information Systems, 7(9), 618–645. https://aisel.aisnet.org/jais/vol7/iss9/24
- Tabachnick, B. G., & Dan Fidel, L. S. (2007). Using multivariate statistics. Person Education Inc.
- Thailand, P. W. C. (2019). Mobile payments in Vietnam fastest growing globally, Thailand emerges second in Southeast Asia. https://www.pwc.com/th/en/press-room/press-release/2019/press-release-30-04-19-en.html
- 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/https://doi.org/10.1108/IntR-12-2012-0244
- Toufaily, E., Nizar, S., & Ladhari, R. (2013). Consumer trust toward retail websites: Comparison between pure click and click-and-brick retailers. Journal of Retailing and Consumer Services, 20(6), 538–548. https://doi.org/https://doi.org/10.1016/j.jretconser.2013.05.001
- Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, 52(5), 463–479. https://doi.org/https://doi.org/10.1016/j.infsof.2009.11.005
- Van Der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704. https://doi.org/https://doi.org/10.2307/25148660
- 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/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/https://doi.org/10.2307/41410412
- Wang, L., & Yi, Y. (2012). The impact of use context on mobile payment acceptance: An empirical study in China. In Advances in computer science and education (pp. 293–299). Springer.
- Wang, Y. S., Lin, H. H., & Luarn, P. (2006). Predicting consumer intention to use mobile service. Information Systems Journal, 16(2), 157–179. https://doi.org/https://doi.org/10.1111/j.1365-2575.2006.00213.x
- Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems.
- Zainudin, A. (2010). Research methodology for business and social science. Universiti Teknologi Mara Publication Centre (UPENA).
- Zhang, J., Huang, J., & Chen, J. (2010). Empirical research on user acceptance of mobile searches. Tsinghua Science and Technology, 15(2), 235–245. https://doi.org/https://doi.org/10.1016/S1007-0214(10)70056-0
- Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 2(5), 1085–1091. https://doi.org/https://doi.org/10.1108/10662241111176353