Pengaruh Fitur Artificial Intelligence: Chatbot, Visual Search dan Virtual Try On Terhadap Minat Beli Konsumen Pada e-Commerce
DOI:
https://doi.org/10.37150/jimat.v7i1.4447Keywords:
Artificial Intelligence, Chatbot, Visual Search, Virtual Try On, Minat Beli, e-commerceAbstract
The development of Artificial Intelligence (AI) technology in e-commerce encourages the improvement of interactive and personalized digital shopping experiences. This study aims to determine the influence of chatbot, visual search, and virtual try-on features on consumer buying interest on e-commerce platforms. The research method used was quantitative descriptive association with purposive sampling techniques on 154 respondents who used e-commerce users who had used the three AI features. Data collection was carried out through the distribution of online questionnaires, and data analysis using multiple linear regression with the help of SPSS software. The results of the study show that the three AI features have a positive and significant influence on consumer buying interest. Virtual try-ons are the most dominant feature influencing buying interest, followed by visual search and chatbots. Simultaneously, the three features contributed 80.67% to consumer buying interest. These findings confirm that the use of AI features in e-commerce not only improves search efficiency and shopping convenience, but also drives more convincing purchasing decisions.
References
Abdul, M., Septyadi, K., Salamah, M., Nujiyatillah, S., Manajemen, M. S., Bhayangkara, U., & Raya, J. (n.d.). LITERATURE REVIEW KEPUTUSAN PEMBELIAN DAN MINAT BELI KONSUMEN PADA SMARTPHONE: HARGA DAN PROMOSI. 3(1), 2022. https://doi.org/10.38035/jmpis.v3i1
Bawack, R. E., Wamba, S. F., & Carillo, K. D. A. (2022). Artificial intelligence in e-commerce: A bibliometric study and research agenda. Electronic Markets, 32(3), 1235–1257. https://doi.org/10.xxxx/em.2022.xxx
Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. In Electronic Markets (Vol. 32, Issue 1). Springer Berlin Heidelberg. https://doi.org/10.1007/s12525-022-00537-z
Bayram, A., & Aydin, G. (2021). The moderating role of website familiarity in the relationship between e-service quality and e-customer satisfaction. Journal of Retailing and Consumer Services, 58, 102271.
Cao, Y., Wang, W. Z., Zhang, Y., Deveci, M., Kadry, S., & Wang, L. (2025). Analyzing adoption factors of data-driven nudging for e-commerce platforms using an integrated decision model. Electronic Commerce Research and Applications. https://doi.org/10.1016/j.elerap.2025.101500
Dawis, A. M., Ardhani, R., Setiyanto, S., Khasanah, A. U., Muqorobbin, & Tantra, H. (2024). Implementation of Virtual Try-On Product to Enhance Customer Satisfaction. Digital Zone: Jurnal Teknologi Informasi Dan Komunikasi, 15(2), 147–158. https://doi.org/10.31849/digitalzone.v15i2.20845
Guo, L., & Cai, Y. (2024). An analysis of the Impact of Text-based AI Chatbot on Consumer Purchase Intentions in Online Shopping Platforms. International Journal of Sociologies and Anthropologies Science Reviews, 4(6), 399–416. https://doi.org/10.60027/ijsasr.2024.4970
Hilken, T., Chylinski, M., Keeling, D. I., Heller, J., & Mahr, D. (2022). Augmenting the eye of the beholder: Exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science, 50(1), 28–48.
Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the customer experience through new technologies. Journal of Interactive Marketing, 51, 57–71.
Huang, M. H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.
Islam, T., Miron, A., Liu, X., & Li, Y. (2024). StyleVTON: A multi-pose virtual try-on with identity and clothing detail preservation. Neurocomputing, 594. https://doi.org/10.1016/j.neucom.2024.127887
Kumar, V., Dixit, A., Javalgi, R. R. G., & Dass, M. (2021). Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing. Journal of the Academy of Marketing Science, 49(1), 89–110.
Li, L., Lee, K. Y., Emokpae, E., & Yang, S. B. (2021). What makes you continuously use chatbot services? Evidence from chinese online travel agencies. Electronic Markets, 31(3), 575–599. https://doi.org/10.1007/s12525-020-00454-z
Liu, Y., Zhang, M., Fan, B., Fu, S., & Liu, Y. (2025). The green side of digital trade: Evaluating the impact of National E-commerce Demonstration Cities policy. International Review of Economics and Finance, 99. https://doi.org/10.1016/j.iref.2025.104071
Mariani, M., Perez-Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4), 755–776.
Micheletto, V., Accardi, S., Fici, A., Piccoli, F., Rossi, C., Bilucaglia, M., Russo, V., & Zito, M. (2025). Enjoy it! Cosmetic try-on apps and augmented reality, the impact of enjoyment, informativeness and ease of use. Frontiers in Virtual Reality, 6. https://doi.org/10.3389/frvir.2025.1515937
Nagy, K., & Hajdú, N. (2021). Consumer acceptance of artificial intelligence in e-commerce: The role of trust and perceived usefulness. Sustainability, 13(5), 2567.
Nagy, S., & Hajdú, N. (2021). Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence From Hungary. Amfiteatru Economic, 23(56), 1–1. https://doi.org/10.24818/EA/2021/56/155
Nazla Bella Shafwa, A., & Amalina Dewi Kumalasari, R. (2024). PENGGUNAAN VITUAL TRY-ON : PENGARUH ENJOYMENT DAN INNOVATIVENESS PADA NIAT BELI KOSMETIK ONLINE. 8(3).
Nguyen, Q. H., Hanh, T. T., Hanh, N. L. M., Nhi, N. D. L., Anh, D. N., & Linh, H. T. (2025). The impacts of virtual try-on for online shopping on consumer purchase intention: the moderating role of technology experience. Cogent Business and Management, 12(1). https://doi.org/10.1080/23311975.2025.2500774
Park, H., & Kim, Y. (2023). The effect of virtual try-on technology on consumer purchase intention in online fashion retailing. Journal of Retailing and Consumer Services, 71, 103188.
Pizzi, G., Scarpi, D., & Pantano, E. (2021). Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot? Journal of Business Research, 129, 878–890.
Shankar, V. (2018). How Artificial Intelligence (AI) is Reshaping Retailing. Journal of Retailing, 94(4), vi–xi. https://doi.org/10.1016/s0022-4359(18)30076-9
Statista. (2023). E-commerce market revenue worldwide 2023–2027. https://www.statista.com
Sutrisno, D., Ani Susanti, Mp., Hermanto, Mp., & Fuadi, A. (2023). Mengoptimalkan Pembelajaran: Peran Transformasi AI dalam Dunia Pendidikan. www.MII-Press.com
Verhagen, T., Van Nes, J., Feldberg, F., & Van Dolen, W. (2021). Virtual customer service agents: Using social presence and personalization to shape online service encounters. Journal of Retailing and Consumer Services, 61, 102578.
Wagner, J., Zurlo, A., & Rusconi, E. (2024a). Individual differences in visual search: A systematic review of the link between visual search performance and traits or abilities. Cortex, 178, 51–90. https://doi.org/10.1016/j.cortex.2024.05.020
Wagner, J., Zurlo, A., & Rusconi, E. (2024b). Individual differences in visual search: A systematic review of the link between visual search performance and traits or abilities. Cortex, 178, 51–90. https://doi.org/10.1016/j.cortex.2024.05.020
Wardhana, A. (2023). MINAT BELI KONSUMEN. https://www.researchgate.net/publication/383464516
