Journal of the Korean Society of Clothing and Textiles, Journal Year: 2024, Volume and Issue: 48(6), P. 1211 - 1225
Published: Dec. 31, 2024
Journal of the Korean Society of Clothing and Textiles, Journal Year: 2024, Volume and Issue: 48(6), P. 1211 - 1225
Published: Dec. 31, 2024
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
0International 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
0Journal 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