This study uses the UTAUT2 (Unified theory of acceptance and use of technology) model as well as adding other factors such as Platform Usability, User Autonomy to determine the behavioral intention and behavior of online shoppers using e-commerce applications (ECAs) in Vietnam. Using the analysis results from structural equation modeling, it was shown that Social Influence, Use Proficiency, Hedonic Motivation, User Skill, Effort Expectancy positively affect Behavioral Intention. At the same time, Behavioral Intention is negatively affected by Performance Expectancy. Behavioral Intention and Facilitating Conditions are two factors that positively affect Use Behavior. Besides, User Autonomy negatively affects Use Behavior. The research results are an important basis for ECAs providers, managers and stakeholders to apply in assessing the behavioral intentions and behaviors of online shopping customers using ECAs in Vietnam to promote the use of ECAs in online shopping.

Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International Journal of Hospitality Management, 27(3), 391–402. https://doi.org/10.1016/j.ijhm.2007.10.008

Byrne, B. M., & Campbell, T. L. (1999). Cross-Cultural Comparisons and the Presumption of Equivalent Measurement and Theoretical Structure. Journal of Cross-Cultural Psychology, 30(5), 555–574. https://doi.org/10.1177/0022022199030005001

Bragg, L. (2018). What Is Usability? Available online: https://www.pixel506.com/insights/dont-forget-usability-when-creating-digital-platforms (accessed on 2 June 2024).

Cabrera-Sánchez, J.-P., Ramos-de-Luna, I., Carvajal-Trujillo, E., et al. (2020). Online Recommendation Systems: Factors Influencing Use in E-Commerce. Sustainability, 12(21), 8888. https://doi.org/10.3390/su12218888

Chamat, R. (2022). How does Consumer Behaviour Impact your E-Commerce Site? Available online: https://ewm.swiss/en/blog/how-does-consumer-behaviour-impact-your-e-commerce-site (accessed on 2 June 2024).

Chatsirichai, C., Vongurai, R., & Jaruwanakul, T. (2022). A Study Of Behavioral Intention To Use Augmented Reality For Apparel Products Shopping on ECAs In Thailand. Journal of Suvarnabhumi Institute of Technology, 8(2), 335-348.

Chen, L., Rashidin, Md. S., Song, F., et al. (2021). Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model. SAGE Open, 11(2), 215824402110278. https://doi.org/10.1177/21582440211027875

De Charms, R. (1968). Personal causation; the internal affective determinants of behavior. New York: Academic Press.

Hà Văn Dương. (2022). Course on Digital Currency and Blockchain Technology (Vietnamese). Nhà xuất bản Kinh tế Thành phố Hồ Chí Minh, Thành phố Hồ Chí Minh, Việt Nam.

Ezennia, C. S., & Marimuthu, M. (2020). Factors that positively influence e-commerce adoption among professionals in Surulere, Lagos, Nigeria. African Journal of Science, Technology, Innovation and Development, 14(2), 405–417. https://doi.org/10.1080/20421338.2020.1840051

Fan, Y., & Liu, X. (2022). Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1009173

Ha, V. D., & Nguyen, T. T. (2022). Behavioral Assessments of Using Fintech Services and E-Commerce. Eliva Press.

Nguyen, A. T., Pham, T. T., Song, J., et al. (2023). Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022. Springer Nature Singapore. https://doi.org/10.1007/978-981-19-9669-6

Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (2010). Multivariate data analysis, 7th ed. New Jersey: PrenticeHall.

Hossain, M. I., Hussain, M. I., & Akther, A. (2023). E-Commerce Platforms in Developing Economies: Unveiling Behavioral Intentions through Technology Acceptance Model (TAM). Open Journal of Business and Management, 11(06), 2988–3020. https://doi.org/10.4236/ojbm.2023.116165

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. https://doi.org/10.1080/10705519909540118

Hulin, C., Netemeyer, R., & Cudeck, R. (2001). Can a reliability coefficient be too high? Journal of Consumer Psychology, 10(1/2), 55-58. https://doi.org/10.1207/S15327663JCP1001&2_05

Hungilo, G. G., & Setyohadi, D. B. (2020). Factors influencing acceptance of online shopping in Tanzania using UTAUT2. Journal of Internet Banking and Commerce, 25(1), 1-23.

Kamalia, D., Djajadinata, M., Gunawan, F. H., & Gunadi, W. (2022). The Role of Hedonic Motivation and FOMO on the Impulsivity of e-Commerce Users during COVID-19 Pandemics in Indonesia. In: Proceedings of the International Conference on Industrial Engineering and Operations Management Istanbul, Turkey.

Kline, R.B. (2011). Principles and practice of structural equation modelling, 3rd ed. New York: The Guilford Press.

Kohler, T. (2022). Autonomy, Relatedness, and Competence in UX Design. Available online: https://www.nngroup.com/articles/autonomy-relatedness-competence/

Mansur, D., Sule, E., Kartini, D., & Oesman, Y. (2019). Understanding Factors Influence E-Commerce Use Behavior in Indonesia. Opción: Revista de Ciencias Humanas y Sociales, 35(20), 742-754.

Nguyen, T. H., and Luu, T. M. P. (2024). Developing e-commerce in Vietnam, Current Situation and Solutions. International Journal of Advanced Multidisciplinary Research and Studies, 4(2):1285-1291.

Optimizely (2023). Ecommerce platform. Available online: https://www.optimizely.com/optimization-glossary/ecommerce-platform/ (accessed on 2 June 2024).

Perdana, R. A., & Suzianti, A. (2017). Analysis of usability factors affecting purchase intention in online e-commerce sites. IOP Conference Series: Materials Science and Engineering, 185, 012015. https://doi.org/10.1088/1757-899x/185/1/012015

Pobee, F. (2021). Modeling e-commerce adoption factors among Gen-Z in a developing country: the case of Ghana. Marketing & Menedzsment, 55(1), 81–94. https://doi.org/10.15170/mm.2021.55.01.07

Rehman, A. U., Bashir, S., Mahmood, A., et al. (2022). Does e-shopping service quality enhance customers’ e-shopping adoption? An extended perspective of unified theory of acceptance and use of technology. PLOS ONE, 17(2), e0263652. https://doi.org/10.1371/journal.pone.0263652

Shadfar, S., & Malekmohammadi, I. (2013). Application of Structural Equation Modeling (SEM) in restructuring state intervention strategies toward paddy production development. International Journal of Academic Research in Business and Social Sciences, 3(12). https://doi.org/10.6007/ijarbss/v3-i12/472

Saleem, N., Khalid, A., & Sadiq, S. (2022). Impact of e-commerce on Consumer Behavior: A Study of Online Shopping Trend among Youth in Lahore City. Indian Journal of Economics and Business, 21(1), 883-895.

Setiyani, L., Natalia, I., & Liswadi, G. T. (2023). Analysis of Behavioral Intentions of E-Commerce Shopee Users in Indonesia Using UTAUT2. ADI Journal on Recent Innovation (AJRI), 4(2), 160–171. https://doi.org/10.34306/ajri.v4i2.861

Singh, A., Alryalat, M. A. A., Alzubi, J. A., & Sarma, H. (2017). Understanding jordanian consumers’ online purchase intentions: Integrating trust to the UTAUT2 framework. International Journal of Applied Engineering Research, 12(20), 10258-10268.

Sovann, M. (2024). 20 Challenges of e-Commerce Business in Vietnam. Available online: https://activerify.com/20-challenges-of-e-commerce-business-in-vietnam (accessed on 2 June 2024).

Yuniar, A. A., & Fibrianto, A. S., (2019). Consumer’s Privacy Perception in Online Shopping Behavior using E-Commerce Platform. In: Procedings of the 1st ICA Regional Conference.

Zhou, M., Huang, J., Wu, K., et al. (2021). Characterizing Chinese consumers’ intention to use live e-commerce shopping. Technology in Society, 67, 101767. https://doi.org/10.1016/j.techsoc.2021.101767

Yoga, I. M. S., & Triami, N. P. S. (2021). The Online Shopping Behavior of Indonesian Generation X. Journal of Economics, Business, & Accountancy Ventura, 23(3), 441–451. https://doi.org/10.14414/jebav.v23i3.2455

Wulandari, A., Junipriansa, D., Suryawardani, B., et al. (2021). Integrаtion the UTАUT2 Model: Аdoption of E-Commerce as Solution for Fаshion Industry in Bаndung Fаcing the COVID-19 Pаndemic. PalArch’s Journal of Archaeology of Egypt/Egyptology, 19(1), 1609-1630.

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. Portico. https://doi.org/10.1111/j.1540-5915.2008.00192.x

Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412