A Study of the Effect of AI-Generated Image Recommendation Services on Purchasing Intentions for Online Shopping

The integration of artificial intelligence (AI) into online platforms has revolutionized the co-creation landscape, particularly in the fashion industry, where AI designers swiftly generate personalized products based on consumer preferences. This research extends the technology acceptance model to explore consumer perspectives and inclinations regarding AI-generated fashion items. The framework incorporates perceived utility, perceived simplicity, perceived risk, attitudes toward AI, and fashion engagement. Data were gathered through an online survey, and exploratory and confirmatory factor analyses were conducted to validate the model. The study highlights the significance of the model use and recommends improvements such as testing usability, gathering user feedback, providing clear instructions, and ensuring easy access to customer support. Meanwhile, the findings indicate that fashion enthusiasts are less likely to accept AI-driven design services, due to a need for transparency or better functionality.

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Publication Details

Journal
Journal of Electronic Commerce in Organizations
Published
2025-04-26
DOI
https://doi.org/10.4018/jeco.373765
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.17
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article

A Study of the Effect of AI-Generated Image Recommendation Services on Purchasing Intentions for Online Shopping

Youssef Tliche, Wu Tsaiyi, Nadia El Nemr, Diana El Nemr et al.
1 citations
Journal of Electronic Commerce in Organizations
Technology Adoption and User Behaviour
4.17
article

A Study of the Effect of AI-Generated Image Recommendation Services on Purchasing Intentions for Online Shopping

Youssef Tliche, Wu Tsaiyi, Nadia El Nemr, Diana El Nemr, Hamdi Radhoui
article en
1 citations

Abstract

The integration of artificial intelligence (AI) into online platforms has revolutionized the co-creation landscape, particularly in the fashion industry, where AI designers swiftly generate personalized products based on consumer preferences. This research extends the technology acceptance model to explore consumer perspectives and inclinations regarding AI-generated fashion items. The framework incorporates perceived utility, perceived simplicity, perceived risk, attitudes toward AI, and fashion engagement. Data were gathered through an online survey, and exploratory and confirmatory factor analyses were conducted to validate the model. The study highlights the significance of the model use and recommends improvements such as testing usability, gathering user feedback, providing clear instructions, and ensuring easy access to customer support. Meanwhile, the findings indicate that fashion enthusiasts are less likely to accept AI-driven design services, due to a need for transparency or better functionality.

Journal of Electronic Commerce in OrganizationsVol. 23(1)
France Business School (FR), Délégation Normandie (FR), EM Normandie Business School (FR)
Openalex Percentile: Top 7%
Technology Adoption and User Behaviour
4.17
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A Study of the Effect of AI-Generated Image Recommendation Services on Purchasing Intentions for Online Shopping — Youssef Tliche, Wu Tsaiyi, et al. · Journal of Electronic Commerce in Organizations (2025) | TGRS Research Map | TGRS