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消费者感知的可持续性如何影响其服装偏好。

How perceived sustainability influences consumers' clothing preferences.

机构信息

Department of Culture and Arts Management, Honam University, Gwangju, 62399, Korea.

Academy of Arts & Design, Tsinghua University, Beijing, 100084, China.

出版信息

Sci Rep. 2024 Nov 19;14(1):28672. doi: 10.1038/s41598-024-80279-4.

DOI:10.1038/s41598-024-80279-4
PMID:39562710
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11576948/
Abstract

In this study, we explored innovative approaches to sustainable fashion design, focusing on the increasingly prominent issue of sustainability in the global fashion industry. By analyzing consumer feedback in online communities, particularly through a systematic study of user comments on clothing products on the JD.com website, this paper reveals consumers' attitudes, expectations, and suggestions regarding sustainable fashion. The findings provide new directions for improvements in sustainable clothing design. We collected data using Python web scraping technology from the Chinese e-commerce platform JD.com and employed the Latent Dirichlet Allocation (LDA) method for text topic modeling. This approach successfully identified three main themes: perceived quality, perceived value, and sensory comfort. Additionally, we employed multivariate analysis of variance to assess consumers' perceptions. Survey data show that consumers demonstrat higher levels of perceived quality, value, purchase intention, and intention to repurchase sustainable clothing compared to traditional apparel. The research findings help apparel companies understand consumer needs regarding sustainability, providing theoretical support for designers and confirming the importance of emphasizing eco-friendly materials and sustainable production in new product development. This research not only provides actionable insights for the fashion industry but also contributes to the ongoing discourse on sustainable design strategies globally.

摘要

在这项研究中,我们探讨了可持续时尚设计的创新方法,重点关注全球时尚产业中日益突出的可持续性问题。通过分析在线社区中的消费者反馈,特别是通过对京东网站上服装产品用户评论的系统研究,本文揭示了消费者对可持续时尚的态度、期望和建议。研究结果为可持续服装设计的改进提供了新的方向。我们使用 Python 网络爬虫技术从中国电子商务平台京东收集数据,并采用潜在狄利克雷分配(LDA)方法进行文本主题建模。这种方法成功地识别出了三个主要主题:感知质量、感知价值和感官舒适度。此外,我们还采用了多元方差分析来评估消费者的感知。调查数据显示,与传统服装相比,消费者对可持续服装的感知质量、价值、购买意愿和重复购买意愿更高。研究结果有助于服装公司了解消费者对可持续性的需求,为设计师提供理论支持,并证实了在新产品开发中强调环保材料和可持续生产的重要性。这项研究不仅为时尚界提供了切实可行的见解,也为全球可持续设计策略的持续讨论做出了贡献。

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本文引用的文献

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Sustainable Development Goals for Textiles and Fashion.可持续发展目标:纺织与时尚行业
Environ Sci Pollut Res Int. 2023 Oct;30(46):101989-102009. doi: 10.1007/s11356-023-29453-1. Epub 2023 Sep 4.
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Survey data to evaluate consumer behaviour and consumption pattern of sustainable apparel: A study on consumer awareness level.评估可持续服装消费者行为和消费模式的调查数据:关于消费者意识水平的研究。
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Topic Discovery and Hotspot Analysis of Sentiment Analysis of Chinese Text Using Information-Theoretic Method.
基于信息论方法的中文文本情感分析主题发现与热点分析
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The Nexus between Green Perceived Quality, Green Satisfaction, Green Trust, and Customers' Green Behavioral Intentions in Eco-Friendly Hotels: A Structural Equation Modeling Approach.生态友好型酒店中绿色感知质量、绿色满意度、绿色信任与顾客绿色行为意向的关联:结构方程建模方法。
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Factors Influencing Consumers' Purchase Intention Towards Green Home Appliances.影响消费者对绿色家电购买意愿的因素。
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Survey data to assess consumers' attitudes towards circular economy and bioeconomy practices: A focus on the fashion industry.评估消费者对循环经济和生物经济实践态度的调查数据:以时尚产业为重点。
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