Online Luxury Resale Platforms and Customer Experiences: A Text Mining Analysis of Online Reviews

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Fashion resale has emerged as a notable strategy for the fashion industry to reduce its environmental footprint by promoting fashion circularity. Despite extensive research on consumer awareness of resale and the purchase of pre-owned items, there remains a gap in understanding the factors that influence consumers’ participation in resale markets, encompassing both selling and buying practices. Drawing on social practice theory (SPT), this qualitative study examines the nuanced factors influencing consumers’ online resale practices and investigates how online fashion resale practices (OFRPs) have become integrated into their daily consumption patterns. In-depth interviews were conducted with thirty experienced Chinese consumers engaged in both the selling and buying practices of secondhand fashion. Initially, the study identified eight nuanced motivations and seven challenges influencing consumers’ OFRPs. Subsequently, the research uncovered two types of materials and seven core skills necessary for successful OFRP transactions, along with six associated meanings of OFRPs. Specifically, we found that participants seamlessly integrated OFRP into their daily routines through nurtured sociality, and OFRP only fostered sustainable consumption behaviors in one-third of participants, suggesting significant room for improvement. This study provides empirical insights into the existing literature and offers actionable recommendations to key stakeholders for advancing fashion circularity—a critical objective for the sustainability of the fashion industry.

Section: Motivationsmentioning

confidence: 71%

Section: Consumer Engagement In Ofrps: Motivations and Challengesmentioning

confidence: 99%

Section: The Social Practice Theory and Chinese Consumers' Resale Pra...mentioning

confidence: 99%

Section: The Social Practice Theory and Chinese Consumers' Resale Pra...mentioning

confidence: 99%

Section: Who Doesn't Want To Get Extra Money? (Int 1)mentioning

confidence: 99%

See 3 more Smart Citations

Consumer Engagement in Fashion Circularity in China: Exploring Consumer Online Fashion Resale through the Lens of Social Practice Theory

Liu,

Lang

2024

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Mining Chinese Consumer Minds: Motivations for Selling Unwanted Fashion Items in Online Resale Marketplaces

Wang,

Liu

2023

Self Cite

With the development of China’s fashion resale market, sustainable consumption patterns have gradually become popular in China. Although the prospects of China’s fashion resale market are recognized, more and more consumers are also actively participating in the circular consumption model. Consumers have multiple identities in participating in resale, and can be sellers or buyers. However, the sales intention of Chinese consumers to participate in resale as sellers is still unclear. We need to understand what value Chinese consumers are looking for in resale as sellers. The focus of this exploratory study is to understand the intention of Chinese consumers to sell unwanted fashion items as sellers to determine the key attributes that affect customer value and participation. This study applies consumer value theory to explore consumers’ sales intentions and potential themes. This empirical study collected a sample of 1217 seller resale reviews from social media platforms, using LDA text mining, textual point of view extraction, and co-occurrence plotting for data analysis. Nine potential themes were drawn. The results show that lifestyle change is the primary reason why most consumers participate in resale. The perception of their self-concept prompts Chinese consumers to participate in resale. This article provides theoretical and practical significance.

Contextual Relationships of Factors Affecting Sustainability 4.0 in the Textile Industry

Silva,

Melo,

Sobral

et al. 2024

This study aims to identify the contextual relationships between the impact factors on Sustainability 4.0, through the principles of I4.0 in the textile industry, using interpretive structural modeling (ISM), a qualitative technique that makes it possible to understand the relationship between different factors, classifying them hierarchically based on their interdependencies. The hierarchy of the 16 (sixteen) factors proposed at different levels helps to identify critical areas to focus efforts and investments, providing data to guide strategic business planning. From the result of the Level Partition Chart, four levels were observed for the ISM diagram. The Corporate Social Responsibility factor (FIS7) was considered a dependent variable of all others. The identification of FIS4, FIS10 and FIS14 as factors with high dependence suggests key areas for strategic interventions. Thus, this study provides a solid theoretical basis and practical recommendations that help textile companies adopt sustainable and technologically advanced strategies, promoting an effective transition to Sustainability 4.0.