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The purpose of the study is to explore the differences between fast fashion and slow fashion consumers in regards to their consumer decision process stages (i.e. purchase/consumption, post‐consumption evaluation, and divestment).

Qualitative data were collected via focus groups and personal interviews. Participants were recruited through flyers that were posted at various locations, including a college campus, select retail stores, and www.craigslist.com The sample consisted of 38 participants, 22 fast fashion and 16 slow fashion. All participants were female, 18 years of age or older, with a mean age of 21.2 years.

Three groups of themes emerged. The purchase/consumption themes were buyers’ remorse avoidance, utilitarianism, hedonism, and style/self‐image congruence. The post‐consumption evaluation themes included instant satisfaction vs continued satisfaction and consumer expectation confirmation. Finally, the divestment themes consisted of divestment frequencies, divestment reasons, and divestment approaches.

This study explored the purchase and post‐purchase stages of the Consumer Decision Process (CDP) model. This particular focus on the CDP model, in the context of fast (vs slow) fashion, has not been researched in the past. Additionally, this research adds to the body of knowledge by utilizing the CDP model to understand the differences between fast fashion and slow fashion consumers.

Fast fashion and slow fashion retailers may use this research to better understand their target markets by understanding why they choose to purchase/consume, what influences their post‐consumption evaluation, and how and why they choose to divest their clothing.

Past research has demonstrated the importance of understanding the supply chain and business model aspect of fast fashion. However, no empirical studies have been found that examine the decision‐making process of consumers of fast (vs slow) fashion.

This paper examines the problem of lack of historical data and inadequate consideration of factors influencing demand in the forecasting of demand for fast fashion clothing and proposes an improved Bass model for the forecasting of such a demand and the demand for new clothing products.

From the perspective of how to solve the lack of data and improve the precision of the clothing demand forecast, this paper studies the measurement of clothing similarity and the addition of demand impact factors. Using the fuzzy clustering–rough set method, the degree of resemblance of clothing is determined, which provides a basis for the scientific utilisation of historical data of similar clothing to forecast the demand for new clothing. Besides, combining the influence of consumer preferences and seasonality on demand forecasting, an improved Bass model for a fast fashion clothing demand forecast is proposed. Finally, with a forecasting example of demand for clothing, this study also tests the validity of the method.

The objective measurement method of clothing similarity in this paper solves the problem of the difficult forecasting of demand for fast fashion clothing due to a lack of sales data at the preliminary stage of the clothing launch. The improved Bass model combines, comprehensively, consumer preferences and seasonality and enhances the forecast precision of demand for fast fashion clothing.

The paper puts forward a scientific, quantitative method for the forecasting of new clothing products using historical sales data of similar clothing, thus solving the problem of lack of sales data of the fashion.

This paper aims to answer the questions of what clothing practices related to sustainable fashion can be observed in young consumers' daily lives in Finland’s capital region and what prevents their further proliferation.

This is qualitative research that draws from 22 semi-structured interviews with high school students in the capital area of Finland. The data were analyzed with the use of thematic analysis, a flexible method of data analysis that allows for the extraction of categories from both theoretical concepts and data.

This paper contributes to studies of young people’s consumption with the practice theory approach, putting forward the category of following sustainable fashion as an integrative practice. The three-element model of the practice theory allows answering the question of challenges that prevent the practice from shaping. The paper further advances this approach by identifying a list of context-specific dispersed practices incorporated into sustainable fashion.

The study suggests practical ways of improving clothing consumption based on the practice theory approach and findings from empirical research. Sustainable practices require competences, knowledge and skills that the school, as an institution working closely with high school students, could help develop.

The study contributes to the current studies of sustainability and youth culture of consumption with a practice theory approach and findings, related to a particular context of a country from Northern Europe.

It is widely known that fast-fashion retailers are struggling to keep up with consumer attention for quick responses within the fashion industry. With the advance of Internet and e-commerce, consumers prefer to purchase online. Online platform information has become an essential source for exploring consumer attention. However, there is often a mismatch between the information provided by retailers and the feedback received from consumers, leading to an imbalance between the supply side and demand side of online information. The purpose of this study is therefore to provide a unified approach to discover consumer attention from the design topic aspect by revealing the information imbalance between supply side and demand side.

To address the issue of online information imbalance and discover consumer attention, this study proposed an approach that focuses on the design topic perspective. The design topic is a collection of design elements that represent a clothing-design feature more comprehensively and accurately compared to a single design element. The proposed approach begins with generating design topics through topic modeling based on online information provided by retailers on e-commerce platforms. Two indicators, influence degree and attention degree, are then used to quantify the intensity of supply information and consumer attention related to design topics. Finally, design topic strategy diagrams are constructed to reveal information imbalance and discover consumer attention.

The experimental case demonstrates the existence of information imbalance, indicating that the intensity of supply information and consumer attention from the perspective of design topics is not uniform, although both follow the Pareto principle. The results of consumer attention distribution with heavy power-law tails are consistent with current research findings. This further demonstrates that the proposed approach is capable of discovering consumer attention in the design topic strategy diagrams.

The issue of information imbalance between retailers and consumers poses a challenge in keeping up with customer attention. The proposed approach offers a practical solution by visually identifying the symptoms of information imbalance and discovering consumer attention through design topic strategy diagrams. This approach provides fast-fashion retailers with a valuable reference to seize market opportunities, improve product design and adjust marketing or management strategies.

This study proposes a novel approach to disclose the issue of information imbalance between supply side and demand side and therefore to discover consumer attention from the perspective of design topics. In addition, guidelines for applying the proposed approach for fast-fashion marketing and management are presented.

Despite supposed widespread consumer support for ethical clothing, it still often fails to translate into actual purchase. The purpose of this paper is to determine whether the way in which academics have defined and measured ethical clothing could account for this.

An over reliance on convenience sampling and the use of student samples has also been touted as a possible reason for this attitude-behaviour gap. To address this, this study employed a consumer household sample. It also used a quantitative survey approach to collect its data and structural equation modelling to analyse it.

In contrast to the way in which academics have conceptualised the construct, consumer perceptions of ethical clothing were found to be influenced by four dimensions: environmental responsibility, employee welfare, animal welfare and slow fashion attributes.

Ethical clothing has typically been operationalised using just two of these four dimensions. Ironically, one of the two dimensions often overlooked by academics – animal welfare – had the strongest influence on consumer perceptions. Previous academic efforts had never employed more than three dimensions, and yet the results of this study suggest that all four must be present if an item of clothing is to be regarded as “ethical”.

The purpose of this study is to examine relationship between numerous factors (fashion orientation, conspicuous consumption and environmental consciousness) that influence fast fashion (FF) purchase intention and their impact on FF purchase behavior and exploring the moderating effect of sustainable clothing consumption attitude.

This study uses quantitative analysis approach, wherein data have been collected from 571 college students by using non-probability snowball sampling. Partial least square structural equation modeling (PLS-SEM) has been applied to analyze the relationships among variables.

Determinants fashion orientation and conspicuous consumption have substantial impact on the desire to buy FF, which has strong association with FF purchasing behavior. Environmental awareness, contrarily, has detrimental impact on FF purchasing intentions. Furthermore, sustainable clothing consumption attitude significantly moderates FF intention–behavior relationship.

Findings may be viewed as a driving course in textile and garment sector for entrepreneurs as they represent customers’ intents and behavior in connection to the adoption of FF. Strategists can understand the product’s lifecycle; marketers can define innovative ways of marketing, advertising and promotion; start-ups can look for opportunities in sustainable fashion industry by innovating, manufacturing and dealing in eco-friendly sustainable products; and policymakers can make suitable policies to create awareness regarding sustainable fashion.

To the best of the authors’ knowledge, there is no study that comprehensively deals with defining, structuring and validating factors affecting purchase intention and behavior in case of fashion industry, accompanied by the role of sustainable consumption attitude as a moderator between FF intention and behavior, in a single model.

Adding to competitive dynamics and sustainability literature, this paper aims to examine the implementation of environmental protection and sustainability initiatives within the European fast-fashion clothing industry from the perspectives of Generation X and Y consumers. The study primarily investigates whether consumers’ level of environmental consciousness impacts their purchase decisions and consumption behaviour and the consequent strategic competitiveness effects on businesses.

The methodological approach relied on multiple data collection methods. In the first stage of the study, the researchers analysed the content of the official websites of two of Europe’s leading fashion firms. In the second stage, a quantitative research approach was aimed at revealing the perceptions, attitudes and purchase behaviour of Generation X and Y consumers towards the two fashion houses and their brands.

Although European fashion manufacturers invest in sustainability and engage in environmental protection, their marketing efforts need to be more effectively managed and targeted towards their target consumer markets. The level of engagement and sensitivity of each generational group towards sustainability issues varies. Each group’s environmental consciousness, motivation and response is shaped by distinct characteristics, which, in turn, create implications for the effectiveness of sustainability efforts towards differentiation and competitiveness. Overall, consumers engage in environmental initiatives but ignore the corporate initiatives pursued by the two fashion firms and did not view them as sustainable brands.

The study explores the effectiveness of sustainability and environmental protection orientation as business competitive strategies in the light of environmental turbulence and social changes impacting the fast-fashion clothing industry and its relationships with its consumer markets.

The rise of fast fashion has changed the face of global fashion. Despite sector growth, critics have questioned the level of obsolescence, encouragement of over-consumption and fast fashion's unsustainable business practices. Specifically, mounting concerns surround the impact on environmental, worker and animal welfare. Accordingly, the aim of this current work is to understand the influence of consumer's values on ethical consumption in a fast-fashion context.

An online survey was designed to collect responses relating to personal values and ethical concerns towards animal and worker welfare issues, as well as environmental concerns. A total of 350 US-based fast-fashion consumers completed the survey via Amazon MTurk. Factor analyses and structural equation modelling were used to analyse and test a theoretically hypothesised model.

This study found that self-transcendence values and openness to change values have a positive impact on consumers' levels of ethical concern towards animal welfare, the environment and worker welfare concerns within the fashion industry. Furthermore, a consumer's level of concern towards animal welfare and the environment positively influences a consumer's likeliness to purchase ethically marketed fast fashion.

This is the first study to investigate the role of consumer values and their influence on ethical concerns within the fashion industry and the impact of these concerns on intentions to purchase ethically marketed fast fashion. Responding to calls for further research into ethical consumption of apparel, this study includes all elements of ethical consumption identified, including animal welfare. This study identifies ethical areas of concern salient amongst fast-fashion consumers and provides a deeper understanding of the values impacting the level of ethical concerns surrounding animal welfare, the environment and worker welfare.

This study aims to examine YouTube comments relevant to sustainable fashion posted on fashion haul videos over the past decade (2011–2021). It is guided by two research questions: (1) How have sustainable fashion-related comments posted on YouTube fashion haul videos changed over time? and (2) What themes are relevant to sustainable fashion in the comments posted on fashion haul videos?

A data set of comments from 110 fashion haul videos posted on YouTube was refined to only include comments with keywords related to sustainable fashion. Leximancer, a machine learning technique, was employed to identify concepts within the data and co-occurrences between concepts. Linguistic Inquiry and Word Count software was employed to assess the prevalence of concepts and identify sentiment over time.

Over the decade, the authors identified increased comments and conversations relevant to sustainable fashion. For instance, conversations surrounding sustainable fashion were linked to “waste” and “addicted” between 2011 and 2013, which evolved to include “environment” and “clothes” between 2014 and 2016, to “buy” and “workers” between 2017 and 2019 and “sustainable” between 2020 and 2021, demonstrating the changes in conversation topics over time.

With increasing engagement from YouTube viewers on sustainable fashion, retail-affiliated content that promotes sustainable fashion is proposed as one approach to engage viewers and promote sustainable practices in the fashion industry, whereby content creators can partner with retailers to feature products and educate viewers on the benefits of sustainable fashion.

The findings suggest that consumers are becoming more aware of and responsive to sustainable fashion. The originality of this research stems from identifying the source of this interest.

For centuries the phenomenon of fashion behaviour has been a subject of discussion for social analysts, cultural historians, moral critics, academic theorists and business entrepreneurs. These different fields suggest the relevance of the topic for marketing management, for example. In this context, some marketing models try to explain the determinants of fashion clothing involvement. However, they are incomplete. Based on this context, this paper aims to test an extended theoretical model of fashion clothing involvement.

The method used was a survey, where the sample was defined as non‐probabilistic by convenience. A total of 315 respondents filled in questionnaires.

The results showed that the hypothesised antecedents did not a have relationship with fashion involvement. Specifically, only age had significant impact on fashion clothing involvement. In addition, support was found for the fact that fashion clothing involvement meditates two theoretical relations: one is between age and commitment, and the other is between age and subjective knowledge.

The paper suggests an extended model of fashion clothing involvement, supporting the association between fashion involvement and time, between fashion involvement and commitment, and the mediator role of the fashion clothing involvement construct.