Slow Fashion in Portugal: An Exploratory Approach

Detalhes bibliográficos
Autor(a) principal: Saraiva, Mariana Isabel Santos
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150173
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
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spelling Slow Fashion in Portugal: An Exploratory ApproachFashion IndustryFast FashionEnvironmental ImpactsSustainabilitySlow FashionSDG 12 - Responsible production and consumptionSDG 13 - Climate actionDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceDespite being an increasingly valuable economic activity worldwide, the fashion industry is also one of the most polluting industries. Conversely, consumers are becoming more and more conscious of the environmental impacts of this industry. As such, the slow fashion concept appears as a very different vision from the traditional fast fashion models that nowadays are still taking over this industry. Considering the growing interest in this topic and the fact that Portugal is one of Europe's key players in this sector, this research aims to explore the slow fashion concept in Portugal. One conducted exploratory research to obtain insights and knowledge about the concept from the perspective of consumers and the position of Portuguese slow fashion brands. It started with an online survey to withdraw general conclusions about the consumers' perceptions regarding the slow fashion concept and Portuguese slow fashion brands, followed by a netnography to understand the behaviour and position of the Portuguese slow fashion brands in the chosen online community: Instagram.Szabó-Douat, TeodóraRUNSaraiva, Mariana Isabel Santos2023-03-08T14:44:42Z2023-01-262023-01-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/150173TID:203244460enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:32:03Zoai:run.unl.pt:10362/150173Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:59.320573Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Slow Fashion in Portugal: An Exploratory Approach
title Slow Fashion in Portugal: An Exploratory Approach
spellingShingle Slow Fashion in Portugal: An Exploratory Approach
Saraiva, Mariana Isabel Santos
Fashion Industry
Fast Fashion
Environmental Impacts
Sustainability
Slow Fashion
SDG 12 - Responsible production and consumption
SDG 13 - Climate action
title_short Slow Fashion in Portugal: An Exploratory Approach
title_full Slow Fashion in Portugal: An Exploratory Approach
title_fullStr Slow Fashion in Portugal: An Exploratory Approach
title_full_unstemmed Slow Fashion in Portugal: An Exploratory Approach
title_sort Slow Fashion in Portugal: An Exploratory Approach
author Saraiva, Mariana Isabel Santos
author_facet Saraiva, Mariana Isabel Santos
author_role author
dc.contributor.none.fl_str_mv Szabó-Douat, Teodóra
RUN
dc.contributor.author.fl_str_mv Saraiva, Mariana Isabel Santos
dc.subject.por.fl_str_mv Fashion Industry
Fast Fashion
Environmental Impacts
Sustainability
Slow Fashion
SDG 12 - Responsible production and consumption
SDG 13 - Climate action
topic Fashion Industry
Fast Fashion
Environmental Impacts
Sustainability
Slow Fashion
SDG 12 - Responsible production and consumption
SDG 13 - Climate action
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
publishDate 2023
dc.date.none.fl_str_mv 2023-03-08T14:44:42Z
2023-01-26
2023-01-26T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/150173
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