Abstract
In the context of the burgeoning digital fashion industry, this study investigates the factors influencing consumer purchase intentions for virtual garments. Through literature review, this study constructed a theoretical model comprising seven latent variables: trendiness, novelty, sociability, craftsmanship, perceived value, perceived quality, and purchase intention, the data of 347 surveys from China are analysed effectively. Results show that novelty, sociability, and craftsmanship not only have a direct positive impact on consumers’ purchase intentions but also indirectly influence purchase intentions through the mediating variables of perceived value and perceived quality. Although trendiness itself did not have a direct significant impact on purchase intention, it could indirectly affect it through perceived value and perceived quality. These insights offer valuable implications for the design and marketing strategies of virtual garment brands, aiming to better align with consumer motives in the digital fashion realm.
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No potential conflict of interest was reported by the author(s).
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Notes on contributors
Rufan Lin
Rufan Lin is a graduate student at the School of Fashion Design & Engineering, Zhejiang Sci-Tech University. His research focuses on digital fashion, minority clothing cultures, and integrating digital culture into fashion design.
Xue Li
Xue Li is a graduate student at the School of Fashion Design & Engineering, Zhejiang Sci-Tech University. Her research focuses on sustainable production and global carbon neutrality in the apparel industry.
Fan Xia
Fan Xia is a professor at the School of Fashion Design & Engineering, Zhejiang Sci-Tech University. He has nearly 20 years of experience working in listed apparel companies and designing apparel for the Olympic Games. His research focuses on the modern innovative design of folk art culture.