Cited by 57Consumer Retail Behavior StudiesAI in Service InteractionsTechnology Adoption and User Behaviour

The Impact of AI-Powered Try-On Technology on Online Consumers’ Impulsive Buying Intention: The Moderating Role of Brand Trust

Open access
Gao, Yanlei, Liang, Jingwen·2025·Sustainability

Abstract

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

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Crossref · 10.3390/su17072789

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2 of the 130 references couldn’t be matched to a known paper.

Research works printed but not linked: 13

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Authors
Gao, Y., & Liang, J.
Affiliations
Donghua University (CN)
Corresponding author
Liang, Jingwen
Venue
Sustainability
Publisher
MDPI AG
Published
2025-03-21
Volume
17
Issue
7
Pages
2789
ISSN
2071-1050 (ISSN-L)
OpenAlex
W4408688900
Cited by
57
References
130
Citations by year
2026: 43 · 2025: 14
FWCI
50.69
Type
journal article
Language
en
Open access
Locations
  • Sustainability (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
brand trust, online clothing shopping, interactive control, ease of use, perceived utilitarian value, perceived hedonic value, perceived immersion, stimulus-organism-response model, sustainable fashion marketing

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