가상 패션 매장에서 친환경 소비 메시지의 설득 효과 DOI
Yujeong Won, 세윤 장,

영호 심

et al.

Journal of the Korean Society of Clothing and Textiles, Journal Year: 2024, Volume and Issue: 48(6), P. 1211 - 1225

Published: Dec. 31, 2024

The Impact of AI-Powered Try-On Technology on Online Consumers’ Impulsive Buying Intention: The Moderating Role of Brand Trust DOI Open Access
Yanlei Gao, Jingwen Liang

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2789 - 2789

Published: March 21, 2025

Within the global wave of manufacturing intelligence, AI technologies are revolutionizing industrial frameworks through deep integration. As a resource-intensive sector, fashion has become pivotal arena for assessing AI’s role in sustainable development. China, world’s largest apparel producer, faces unique integration challenges, highlighting intersection innovation and sustainability. To further explore impact AI-powered try-on technology on impulsive buying intentions young Chinese consumers, this research utilizes modified version stimulus–organism–response (SOR) model. From lens online shopping, investigates how key features technology, such as visual vividness, interactive control, personalized configuration, ease use, affect intentions. Additionally, study examines mediating roles perceived utilitarian value, hedonic immersion, alongside moderating brand trust. A structured survey was conducted with 366 participants, data were analyzed using partial least squares (PLS) method. The findings reveal that four core attributes have positive effect Furthermore, along influence trust, substantiated. In realm effectively stimulates behavior drives purchases. These results offer valuable theoretical insights enhancing applications, while also providing strategic guidance brands e-commerce platforms developing AI-driven marketing approaches.

Language: Английский

Citations

0

Smart Mirror: Real-Time Try-On Experience Using Deep Learning Models DOI Open Access

Ruchita Bhogi,

Ragnar Bade,

Hari Krishna Bhupathi

et al.

International Journal of Advanced Research in Science Communication and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 223 - 251

Published: Nov. 26, 2024

The Virtual Try-On project is designed to revolutionize the online shopping experience by leveraging cutting-edge deep learning models enable users virtually try on clothing and accessories. This innovative system requires upload a full image, allowing it accurately capture their size generate realistic visualizations of how garments fit from multiple perspectives, including front, back, side views. addresses one biggest challenges in e-commerce ensuring customers can see clothes will look before making purchase. Unlike physical try-on sessions, virtual approach offers greater convenience, saving time effort while providing flexibility outfits without any limitations. Moreover, this promotes more sustainable model significantly decreasing return rates. benefits everyone, as fewer returns mean reduced shipping costs lower environmental impact. By bridging gap between digital experiences, sets new standard fashion retail, efficient, environmentally friendly, customer-centric.

Language: Английский

Citations

0

가상 패션 매장에서 친환경 소비 메시지의 설득 효과 DOI
Yujeong Won, 세윤 장,

영호 심

et al.

Journal of the Korean Society of Clothing and Textiles, Journal Year: 2024, Volume and Issue: 48(6), P. 1211 - 1225

Published: Dec. 31, 2024

Citations

0