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Exploring Virtual Fashion Consumption through the Emotional Three-Level Theory: Reflections on Sustainable Consumer Behavior

Author

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  • Yajuan Deng

    (School of Fashion Design and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Haina Shen

    (Department of Fashion Design and Engineering, School of International Education, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Xiaofen Ji

    (China National Silk Museum, Hangzhou 310018, China)

Abstract

The fast fashion industry has been widely criticized for its substantial consumption of resources and significant environmental pollution. In contrast, virtual fashion clothes are attracting attention from consumers and academics for their notable sustainability benefits and potential for fashion innovation. However, research on consumer acceptance of virtual clothes and the role of sustainability remains limited. This study aims to fill this gap by applying the Emotional Three-Level Theory to identify key virtual fashion attributes, including aesthetic, reality, personalization, presentation, sustainability, and inclusivity features, and evaluating their impact on acceptance using the Technology Acceptance Model (TAM). A survey of 503 Generation Z consumers in China, analyzed through structural equation modeling, reveals that perceived enjoyment, usefulness, and ease of use significantly influence the intention to adopt virtual fashion clothes. Aesthetic and realistic features enhance enjoyment, while personalization and presentation improve usefulness and ease of use. Sustainability features positively impact all three factors, promoting consumer acceptance. These findings offer theoretical insights for virtual fashion research and practical guidance for the fashion industry to leverage virtual technologies for environmental sustainability. Notably, the study emphasizes the potential of virtual clothes in promoting sustainable development in the fashion industry.

Suggested Citation

  • Yajuan Deng & Haina Shen & Xiaofen Ji, 2024. "Exploring Virtual Fashion Consumption through the Emotional Three-Level Theory: Reflections on Sustainable Consumer Behavior," Sustainability, MDPI, vol. 16(13), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5818-:d:1431197
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    References listed on IDEAS

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    1. Nthabeleng Caroline Monyaki & Ryna Cilliers, 2023. "Defining Drivers and Barriers of Sustainable Fashion Manufacturing: Perceptions in the Global South," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Hazel Hoi Yau Chan & Claudia Henninger & Rosy Boardman & Marta Blazquez Cano, 2024. "The adoption of digital fashion as an end product: A systematic literature review of research foci and future research agenda," Journal of Global Fashion Marketing, Taylor & Francis Journals, vol. 15(1), pages 155-180, January.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    5. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.
    6. María Alonso-García & Daniel Moreno Nieto & Elena Cabrera Revuelta, 2023. "How Innovation Affects Users’ Emotional Responses: Implications for Product Success and Business Sustainability," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
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    1. Kaiyue Ma & Bohan Liu & Jie Zhang, 2024. "Factors Influencing Consumer Upcycling Behavior—A Study Based on an Integrated Model of the Theory of Planned Behavior and the Technology Acceptance Model," Sustainability, MDPI, vol. 16(21), pages 1-28, October.

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