IMPACT OF ARTIFICIAL INTELLIGENCE APPLICATIONS ON PERSONALIZED COSMETIC SHOPPING EXPERIENCE ON SHOPEE E-COMMERCE PLATFORM IN VIETNAM
DOI:
https://doi.org/10.59266/houjs.2026.1450Từ khóa:
artificial intelligence, cosmetics, e-commerce, personalization, user satisfactionTóm tắt
The authors investigated the impact of Artificial Intelligence on the personalized cosmetic shopping experience on the Shopee e-commerce platform in Viet Nam. The team proposed seven hypotheses examining how AI-related factors influence user satisfaction. A quantitative approach was used, with survey data collected from 229 respondents and analyzed via SPSS 22. Results indicate that five factors - Personalization Risk Management, Perceived Usefulness, Trust Level, Customer Behavior Recognition, and User Data Quality- have significant positive effects on user satisfaction. At the same time, the quality of Machine Learning Algorithms, when applied mechanically without domain-specific calibration, has a statistically significant negative effect. These findings contribute a novel empirical perspective on AI adoption in a high-involvement product category to offer practical recommendations for platform developers, cosmetic sellers, and regulatory authorities.
Tài liệu tham khảo
Akter, S., McCarthy, G., Sajib, S., Michael, K., Dwivedi, Y. K., D’Ambra, J., & Shen, K. N. (2021). Algorithmic bias in data-driven innovation in the age of AI. International Journal of Information Management, 60, 102374. https://doi.org/10.1016/j.ijinfomgt.2021.102374
Chu, B. Q., & Nguyen, T. K. D. (2025). Nghiên cứu ứng dụng AI trong thương mại điện tử: Cơ hội, thách thức và các giải pháp cho doanh nghiệp kinh doanh trên sàn Shopee.vn [Research on AI applications in e-commerce: Opportunities, challenges, and solutions for businesses operating on Shopee.vn]. Tạp chí Khoa học Trường Đại học Mở Hà Nội, Số đặc biệt 5A, 332–343. https://doi.org/10.59266/houjs.2025.954
Dassouli, S., Benmoussa, C., & Lahcen, R. (2024). Understanding consumer attitudes toward AI chatbots in the cosmetics industry: A TAM perspective. Journal of Business Research, 172, 114415. https://doi.org/10.1016/j.jbusres.2023.114415
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Kumar, T., Sharma, V. K., Kumar, B., Chaudhary, S., & Panwar, R. (2024). Enhancing customer experience through AI-enabled content personalization in e-commerce marketing. In Artificial intelligence in digital marketing (pp. 12–28). Taylor & Francis. https://doi.org/10.1201/9781003450443-2
Kumar, V., Sharma, A., Gupta, R., & Lee, J. (2023). AI-driven personalization and purchase conversion: Evidence from A/B testing on deep learning platforms. Journal of Marketing Analytics, 11(2), 145–162. https://doi.org/10.1057/s41270-022-00198-4
Li, X., Wang, H., & Zhao, Y. (2024). Privacy- entertainment trade-off in AI-powered beauty try-on: A structural equation modeling approach. Information & Management, 61(3), 103812. https://doi.org/10.1016/j.im.2023.103812
Luong, D. B., Nguyen, T. M. A., & Tran, H. N. (2017). Barriers to online cosmetic purchasing in Vietnam: An exploratory study. Asian Journal of Business Research, 7(2), 1–15. https://doi.org/10.14707/ajbr.170035
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
Ngo, P. U. V., Nguyen, T. H., & Le, H. T. T. (2025). AI personalization and consumer behavior in Vietnamese e-commerce: An S-O-R/TAM integrated analysis. Vietnam Journal of Economic Development, 32(1), 44–63.
Park, J., & Lee, H. (2023). Privacy calculus in AI beauty technology adoption. Telematics and Informatics, 78, 101943. https://doi.org/10.1016/j.tele.2023.101943
Putha, S., Ramesh, K., & Srinivas, P. (2021). Intelligent recommendation engines in e-commerce: Mechanisms and outcomes. Expert Systems with Applications, 185, 115637. https://doi.org/10.1016/j.eswa.2021.115637
Truong, T. V. (2025). Data privacy risks and consumer avoidance behavior in AI-enhanced e-commerce: Evidence from Vietnam. Journal of Internet Commerce, 24(1), 28–51. https://doi.org/10.1080/15332861.2025.000001
Venkatesh, V., Thong, J. Y. L., & 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
Wang,Y., Chen, H., & Liu, J. (2024). Generative AI in e-commerce: How NLP-powered chatbots reduce cognitive load and enhance purchase intention. Electronic Commerce Research and Applications, 64, 101366. https://doi.org/10.1016/j.elerap.2024.101366
Yin, K., Zhang, Y., & Liu, H. (2025). Algorithmic trust in beauty e-commerce: How AI recommendation accuracy reshapes consumer decision- making. Journal of Consumer Psychology, 35(1), 112–130. https://doi.org/10.1002/jcpy.1402
