DHETI SEPTIANA
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Determinants of Consumer Acceptance of AI-Powered Virtual Try-On Technology in Online Fashion Commerce: An Extended Technology Acceptance Model Approach Dheti Septiana; Ayu Fitri Rosianie; Nurul Maghfirotul Jannah
Indonesian Journal of Economics, Business, Accounting, and Management (IJEBAM) Vol 4 No 3 (2026): June 2026
Publisher : PT SOLUSI EDUKASI BERDIKARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63901/ijebam.v4i3.181

Abstract

AI-powered virtual try-on technology has emerged as an innovative solution to enhance online fashion shopping experiences. This study aims to examine consumer acceptance of virtual try-on technology by extending the Technology Acceptance Model (TAM) with perceived realism, perceived enjoyment, and trust. A quantitative approach was conducted using data from 500 respondents selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3.0. The results indicate that perceived realism significantly influences perceived usefulness and trust. Moreover, perceived enjoyment and perceived usefulness positively affect attitude toward virtual try-on, while attitude and trust significantly influence purchase intention. This study emphasizes the importance of realistic, enjoyable, and trustworthy AI-based shopping experiences in increasing consumer adoption of virtual try-on technology.