References
Abubakar, F. M., & Ahmad, H. B. (2013). The Moderating Effect of Technology Awareness on the Relationship between UTAUT Constructs and Behavioural Intention to Use Technology: A Conceptual Paper. Australian Journal of Business and Management Research, 03(02), 14–23. https://doi.org/10.52283/nswrca.ajbmr.20130302a02
Agarwal, R. N. (2020). The Role of Effective Factors in Utaut Model on Behavioral Intention. Business Excellence and Management, 10(3), 5–23. https://doi.org/10.24818/beman/2020.10.3-01
Alshehri, A., Rutter, M. J., & Smith, S. (2019). An Implementation of the UTAUT Model for Understanding Students’ Perceptions of Learning Management Systems. International Journal of Distance Education Technologies, 17(3), 1–24. https://doi.org/10.4018/ijdet.2019070101
Aqeel, U. (2020). Analyzing the Impact of Economic Shock Due to Corona Viral Disease-19 on Consumer Behavior Pattern: A Cross Sectional Study Conducted in Delhi and National Capital Region. Bioscience Biotechnology Research Communications, 13(4), 1926–1937. https://doi.org/10.21786/bbrc/13.4/44
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
Dougherty, S. (2024). Mastering e-commerce personalization for brand success. Available online: https://funnel.io/blog/e-commerce-personalization (accessed on 6 March 2024).
Dutta, S., & Shivani, S. (2020). Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. In: Sharma, S. K., Dwivedi, Y. K., Metri, B., et al. (editors). IFIP Advances in Information and Communication Technology. Springer International Publishing. https://doi.org/10.1007/978-3-030-64861-9
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
Gulbrandsen, J. (2024). How Seamless Interaction in Digital Marketing Drives Customer Engagement. Available online: https://www.linkedin.com/pulse/how-seamless-interaction-digital-marketing-drives-gulbrandsen-hae7f/ (accessed on 9 March 2024).
Hà, V. D. (2022), Digital currency and Blockchain technology textbook. Ho Chi Minh City Economic Publishing House, Ho Chi Minh City, Vietnam (Vietnamese).
Ha, V. D., & Nguyen, T. T. (2022). Behavioral Assessments of Using Fintech Services and E-Commerce. Eliva Press.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE.
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.
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.
Juaneda-Ayensa, E., Mosquera, A., & Murillo, Y. S. (2016). Omnichannel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology, 7, 1-11. https://doi.org/10.3389/fpsyg.2016.01117
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 modeling, 3rd ed. New York: The Guilford Press.
Kumar, M., & Ayedee, D. (2021). Technology Adoption: A Solution for SMEs to overcome problems during COVID-19. Academy of Marketing Studies Journal, 25(1).
Li, Y., & Li, Y. (2020). Study of Merchant Adoption in Mobile Payment System Based on Ensemble Learning. American Journal of Industrial and Business Management, 10(5), 861–875. https://doi.org/10.4236/ajibm.2020.105058
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.
Misra, R., Mahajan, R., Singh, N., et al. (2022). Factors impacting behavioural intentions to adopt the electronic marketplace: findings from small businesses in India. Electronic Markets, 32(3), 1639–1660. https://doi.org/10.1007/s12525-022-00578-4
Mohd Ariffin, N. H., Ahmad, F., & Mohd Haneef, U. (2020). Acceptance of mobile payments by retailers using UTAUT model. Indonesian Journal of Electrical Engineering and Computer Science, 19(1), 149. https://doi.org/10.11591/ijeecs.v19.i1.pp149-155
Nguyen, A. T., Pham, T. T., Song, J., et al. (2023). Behavioral Intention and Behavior of Using E-Commerce Platforms for Online Purchases and Payments by Vietnamese Consumers. In: Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022. Springer Nature Singapore. https://doi.org/10.1007/978-981-19-9669-6
Oliveira, T., Thomas, M., & Baptista, G. (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/10.1016/j.chb.2016.03.030
Optimizely. (2023). Ecommerce platform. Available online: https://www.optimizely.com/optimization-glossary/ecommerce-platform/ (accessed on 6 March 2024).
Piotrowicz, W., & Cuthbertson, R. (2014). Introduction to the Special Issue Information Technology in Retail: Toward Omnichannel Retailing. International Journal of Electronic Commerce, 18(4), 5-16.
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In: An integrated approach to communication theory and research. Routledge. pp. 432-448.
Sanan, E. (2024). 10 Best E-Commerce Personalization Platforms. Available online: https://popupsmart.com/blog/ecommerce-personalization-platform (accessed on 12 April 2024).
Setiyani, L., Natalia, I., & Liswadi, G. T. (2023). Analysis of Behavioral Intentions of ECommerce Shopee Users in Indonesia Using UTAUT2. ADI Journal on Recent Innovation, 4(2), 160–171.
Shadfar, M. & 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), 576-618.
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.
Subawa, N. S., & Mimaki, C. A. (2019). E-marketplace acceptance of MSMEs in Bali based on performance expectancy and task technology fit. In: Proceedings of the 2nd International Conference on E-Business, Information Management and Computer Science. pp. 1–4. https://doi.org/10.1145/3377817.3377838
Trenz, M., Veit, D., & Tan, C.W. (2020). Disentangling the Impact of Omni-Channel Integration Services on Consumer Behavior in Integrated Sales Channels. MIS Quarterly, 44(3), 1207-1258.
VECOM. (2024). Vietnam E-Commerce Business Index Report_EBI 2024. Available online: http://en.vecom.vn/vietnam-e-commerce-business-index-report-ebi-2024 (accessed on 13 March 2024).
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.
Wang, S., Zheng, S., Xu, L., Li, D., & Meng, H. (2008). A literature review of electronic marketplace research: Themes, theories and an integrative framework. Information Systems Frontiers, 10(5), 555–571. https://doi.org/10.1007/s10796-008-9115-2
Wijaya, K., & Handriyantini, E. (2020). Analysis of factors affecting behavioral intention on the online marketplace using the UTAUT model (Case Study: Shopee). Proceedings of SeNTI, 4(1), 323–332. https://doi.org/10.1007/s10916-021-01785-w
Wulandari, A., Junipriansa, D., Suryawardani, B., & Marcelino, D. (2022). 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.
Yoga, I. M. S., & Triami, N. P. S. (2021). The Online Shopping Behavior of Indonesian Generation X toward E-Commerce. Journal of Economics, Business, and Accountancy Ventura, 23(3), 441-451.
Zhang, L., Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902–1911. https://doi.org/10.1016/j.chb.2012.05.008