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Visar resultat 1 - 5 av 85 uppsatser som matchar ovanstående sökkriterier.
1. Stitching Sustainability: Exploring the Dynamics of Slow Fashion: A qualitative content analysis of how two Swedish fashion companies operate in practice in relation to a slow fashion framework
Kandidat-uppsats, Göteborgs universitet/Institutionen för globala studierSammanfattning : Collective research indicates that the global fashion industry faces extensive challenges within the objective of a just and sustainable development and clarifies the need for slow production and consumption. Slow fashion is both a movement and a theoretical concept aiming to do this, where slow is not time- but quality-based. LÄS MER
2. When second time’s a charm - Exploring consumers’ temporal experiences within second-hand fashion shopping
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Second-hand fashion has emerged as a more sustainable way of shopping, promoting the circular economy while offering unique styles for a cheaper price. Although consumers generally express a willingness to adopt a more sustainable fashion consumption, this is not mirrored in their actual engagement in second-hand fashion shopping. LÄS MER
3. Strategies for economic and environmental value creation in the business model of sustainable companies : A focus on slow fashion companies
Kandidat-uppsats, Linköpings universitet/FöretagsekonomiSammanfattning : .... LÄS MER
4. CSR communication and the use of recycled synthetic fibres in the fashion industry: A content analysis study of two Swedish fashion brands
Master-uppsats, Lunds universitet/Miljövetenskaplig utbildning; Lunds universitet/Centrum för miljö- och klimatvetenskap (CEC)Sammanfattning : The fashion industry is one of the largest contributors to environmental issues and has a significant part of plastic production due to the use of synthetic fibres. Much scientific research indicates that the fast fashion model is a significant part of using synthetic fibres; however, slow fashion brands are also using the fibres. LÄS MER
5. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. LÄS MER