Fast-fashion: uma revisão bibliográfica sistemática e agenda de pesquisa

Solino, Lívia Juliana Silva; González, Mario Orestes Aguirre; Siqueira, Maria Emília Morkis; Nascimento, Williany Ambrosio

doi:10.14488/1676-1901.v15i3.1947

Cited by 5 publications

(7 citation statements)

References 26 publications

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“…(Prodanov and Freitas, 2013). For the systematic literature review, eight steps were followed, adapted from the work of Solino et al (2015): (1) choice of computerized database, (2) identification of keywords, (3) search of documents, (4) review of abstracts, (5) first exclusion of publications, (6) preparation of table of contents to be revised, (7) review of the complete texts, and (8) records of the selected texts. The next topic will detail how each stage was won.…”

Section: Methodsmentioning

confidence: 99%

“…This author characterizes them in: central functions and support functions. To the first, the areas of marketing, product development, and production are located in it, while the second concerns the areas of accounting, finance, and human resources (Solino et al, 2015). In a second step, the need to expand the possibilities of categorization was identified.…”

Section: Functional Area and Performance Objectivesmentioning

confidence: 99%

“…Its followed by the companies such as Armário Orgânico (Brazil), Brisa (Brazil), Cantrelle Design (Brazil), New York fiber farms (United States), Filipa K. (Sweden), Keep and Share (Local unacknowledged, possibly England), Norrøna (Norway), Plusminusnoll (Sweden), with 2 appearances in the studies each. It is possible to develop a hypothesis that this dispersion of companies is a consequence of slow fashion companies having a local and small character, that is, a low concentration, unlike fast-fashion, which has been brought by Solino et al (2015), are configured as large chain stores that sell fast-fashion products around the world, such as Zara and Hennes & Mauritz -H&M. Some research is conducted aimed entirely at New York fiber farms with the justification of helping to remedy their problems. "We developed this research in response to NY fiber farmers' difficulty reaching their markets and low economic profits", looking for slow fashion as an alternative to achieve these results apud Trejo, 2019.…”

Section: Functional Area and Performance Objectivesmentioning

confidence: 99%

“…Thus, as can be seen in Figure 7, the term 'movement' was more present, mainly when it compares with other expressions (59.18%). Unlike fast-fashion, where Solino et al (2015) demonstrates that the most correct term would-be model, because it is used as a business model, this is not what happened with slow fashion, appearing in the literature called as a movement, even though, at the same time, it is seen that the courses that most study the theme, when it comes to graduate studies, are those in the administrative area, instead of the social sciences (see Table 4 in the 3.2 topics). From these results, two conceptual notions can be explored to explain the emergence of slow fashion as a movement.…”

Section: Terminology Used In Quote Slow Fashionmentioning

confidence: 99%

“…showing Brazil as responsible for the largest number of works(31), a relevant data when discussing the theme, as research bySolino et al (2015) about the fast-fashion model, the country did not even appear on the list. This result may be a consequence of the growing number of schools of fashion and design in Brazil, as well as the constant interest in research involving sustainability and practices that respect the environment.…”

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sustainability in fashion

Solino

Teixeira

Dantas

2020

Int J Innov Educ Res

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A reflexive movement around the universe of fashion shows alternatives to combat unrestrained consumption. The weakening of textile resources found in nature, and the devaluation of local production, seeking significantly, attributes that are applicable amid problematization caused since obtaining products. fashion items until their disposal. The slow fashion movement appears as a counterpoint to the fast-fashion model, seeking to add value in a rational way to clothing items in the globalized market, inserting sustainability as the main propagator of this dynamic that grows in a dizzying way over time. Thus, the objective of this research is to identify how slow fashion has been discussed in academic research. For this, a systematic literature search was carried from its first publication, in 2008, until the year 2019. The research is classified as descriptive with a qualitative-quantitative approach. As a result, 105 papers were obtained, ranging from articles in journals and congresses to master's thesis and doctoral dissertations. It is a review of literature on how this topic is being disseminated amid the informational flow of fashion and its easy democratic access and debate, as well as the systematization of data that prove its existence and its interfaces that are relevant in business competitive level. About the results, we identified mostly qualitative research, focusing on the conceptual development of the area until at least mid-2017, with a change to practice during the year 2019, with exponential growth in recent years, especially in countries like Brazil and United States. It was also possible to define the term movement to characterize slow fashion, as well as to determine a holistic concept that better defines the vision of researchers in the area, with special focus on the works of Kate Fletcher. With this review, the necessary knowledge is exposed to deal with the subject in question and expand this theme in other areas that are appropriate to it.

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Section: Methodsmentioning

confidence: 99%

Section: Functional Area and Performance Objectivesmentioning

confidence: 99%

Section: Functional Area and Performance Objectivesmentioning

confidence: 99%

Section: Terminology Used In Quote Slow Fashionmentioning

confidence: 99%

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sustainability in fashion

Solino

Teixeira

Dantas

2020

Int J Innov Educ Res

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Research on the Potential of the Consumption of Slow Fashion Products in Brazil

Solino

Dantas²,

Teixeira³

et al. 2022

Advances in Fashion and Design Research

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Machine Learning Algorithms for Slow Fashion Consumer Prediction: Theoretical and Managerial Implications

Dantas,

Curth

2023

R. Intelig. Compet.

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Purpose: To compare, propose, and discuss the implications of five machine learning algorithms for predicting Slow fashion consumer profiles. Methodology/approach: We use the Python programming language to build the models with scikit-learn libraries. We tested the potential of five algorithms to correct classifier Slow fashion consumers: I) extremely randomized trees, II) random forest, III) support vector machine, IV) gradient boosting Tree, and V) naïve bayes. Originality/Relevance: This paper's originality lies in its combination of sustainability concerns, consumer behavior analysis, and machine learning techniques. It addresses a critical issue in the fashion industry and offers practical implications that can be beneficial for companies seeking to align their practices with Slow fashion principles. This interdisciplinary approach makes it a relevant contribution to both academia and industry. Key findings: The performance metrics revealed satisfactory values for all algorithms. Nevertheless, the support vector machine presents a better precision (96%) on the dataset for Slow fashion consumer profiling, while random forest performs the worst (87%). Theoretical/methodological contributions: We understood that the model can be helpful for companies that wish to adopt more targeted and practical approaches in the context of Slow fashion, allowing them to make more informed and strategic decisions. Therefore, these insights can guide future research in optimizing machine learning applications for consumer behavior analysis and provide valuable guidance for fashion marketers seeking to enhance their targeting and engagement strategies.

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Fast-fashion: uma revisão bibliográfica sistemática e agenda de pesquisa

Cited by 5 publications

References 26 publications

sustainability in fashion

sustainability in fashion

Research on the Potential of the Consumption of Slow Fashion Products in Brazil

Machine Learning Algorithms for Slow Fashion Consumer Prediction: Theoretical and Managerial Implications

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