Understanding consumers’ online fashion renting experiences: A text-mining approach

Lang, Chunmin; Li, Muzhen; Zhao, Li

doi:10.1016/j.spc.2019.12.003

Cited by 64 publications

(66 citation statements)

References 42 publications

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“…A more recent phenomenon is the rise of platforms based on the exchange of goods: fashion libraries (Pedersen & Netter, 2015), clothing swaps (Lang, Li, & Zhao, 2020), and luxury renting (Vogel, Cook, & Watchravesringkan, 2019). In this type of exchange, consumers pay for the experience of temporarily using the products through rental or membership fees (Lawson, Gleim, Perren, & Hwang, 2016).…”

Section: Collaborative Consumption In Luxurymentioning

confidence: 99%

“Please don't buy!”: Consumers attitude to alternative luxury consumption

2021

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Collaborative luxury consumption is driven both by product‐related and experience‐related motivations. The present study investigates the underlying factors that drive consumers to acquire and rent vintage and secondhand luxury products, applying a framework based on product‐related and experience‐related motivations. Findings reveal how vintage and secondhand are nurtured by anti‐consumption tendencies and recreational motives, while luxury renting is more driven by utilitarian reasons.

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Section: Collaborative Consumption In Luxurymentioning

confidence: 99%

“Please don't buy!”: Consumers attitude to alternative luxury consumption

2021

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“…Moreover, the topics that appear in social media reflect the interests of the users and form the basis of public opinion (Lee et al, 2014 ). Therefore, several fashion studies have tapped into the advantages of the increasing accessibility of text mining to analyze consumer responses and fashion trends (e.g., Lang et al, 2020 ). For instance, Choi and Lee ( 2020 ) used the text mining method to determine Korean consumers’ awareness of the new retro fashion (Newtro fashion), and its semantic components.…”

Section: Literature Reviewmentioning

confidence: 99%

“…al. ( 2020 ) used text mining to investigate the online fashion renting experiences of consumers and identified that the words “easy,” “recommend,” “process,” “site,” “use,” “special,” “highly,” and “navigate” frequently appeared in positive reviews. In another study, Choi and Lee ( 2021 ) focused on vegan fashion trends while analyzing the changes in the consumers’ awareness of original and artificial fur and leather, and confirmed that the keywords related to animal protection appeared with high frequency in their posts.…”

Section: Literature Reviewmentioning

confidence: 99%

Fashion informatics of the Big 4 Fashion Weeks using topic modeling and sentiment analysis

et al. 2021

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This study used several informatics techniques to analyze consumer-driven social media data from four cities (Paris, Milan, New York, and London) during the 2019 Fall/Winter (F/W) Fashion Week. Analyzing keywords using a semantic network analysis method revealed the main characteristics of the collections, celebrities, influencers, fashion items, fashion brands, and designers connected with the four fashion weeks. Using topic modeling and a sentiment analysis, this study confirmed that brands that embodied similar themes in terms of topics and had positive sentimental reactions were also most frequently mentioned by the consumers. A semantic network analysis of the tweets showed that social media, influencers, fashion brands, designers, and words related to sustainability and ethics were mentioned in all four cities. In our topic modeling, the classification of the keywords into three topics based on the brand collection’s themes provided the most accurate model. To identify the sentimental evaluation of brands participating in the 2019 F/W Fashion Week, we analyzed the consumers’ sentiments through positive, neutral, and negative reactions. This quantitative analysis of consumer-generated social media data through this study provides insight into useful information enabling fashion brands to improve their marketing strategies.

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“…The common reasons for using fashion rental services are economy and sustainability. A study of luxury rental services showed that they are used for hedonic, conspicuous, and self-expressive reasons [33,34]. On the other hand, general fashion rental services are used for functional and fashion reasons.…”

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confidence: 99%

Motivating Collaborative Consumption in Fashion: Consumer Benefits, Perceived Risks, Service Trust, and Usage Intention of Online Fashion Rental Services

2021

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This study explored the conceptual constructs of consumer benefits and perceived risks of online fashion rental services (Online FRS) and their impacts on usage intention towards Online FRS. The mediating roles of perceived risks and service trust were examined in this research. A survey was performed on female shoppers between the ages of 20–30 residing in a metropolitan area. Results of this research were as follows: (1) The results analyzing the sub-dimension of benefits (Reasonable cost, Wearing at right time, place and occasion (TPO), Space Saving, Entertaining, Product Variety, Style Conformity) and perceived risks (Financial, Performance, Social) clearly presented factorial structures. (2) Reasonable cost, Style Conformity, and Product Variety showed significantly positive influences on usage intentions towards online fashion rental services; in addition, Financial, Performance, and Social risks of rental services had a negative effect on usage intentions. (3) Service trust and consumer perceptions of Financial and Performance risks had important mediating roles in the relationship between consumer benefits and usage intentions towards Online FRS. This study highlighted that consumer benefits, perceived risks, and service trust should be registered among consumers to boost usage intentions towards Online FRS.

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Understanding consumers’ online fashion renting experiences: A text-mining approach

Cited by 64 publications

References 42 publications

“Please don't buy!”: Consumers attitude to alternative luxury consumption

“Please don't buy!”: Consumers attitude to alternative luxury consumption

Fashion informatics of the Big 4 Fashion Weeks using topic modeling and sentiment analysis

Motivating Collaborative Consumption in Fashion: Consumer Benefits, Perceived Risks, Service Trust, and Usage Intention of Online Fashion Rental Services

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