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Qualitative case study of sustainability implementation along a footwear value chain, data from 2015-2020
Authors: Schrage, Stephanie;
Abstract
Qualitative data set, containing formal and informal interviews field notes from non-participant observations archival documents from a case study of sustainability implementation (spec. living wages, BSCI, DETOX) along a footwear value chain between Germany and China. Data was collected with four parties of the value chain between 2015 and 2020. Languages: German, English, Mandarin (interpreted) Collected and analyzed for the dissertation (doc. rer. pol.) by Stephanie Schrage at Universität Hamburg (defended in October 2020)
Related Organizations
- Hamburg University of Technology Germany
Keywords
China, footwear industry, Germany, global value chains, Other, living wages, sustainability
China, footwear industry, Germany, global value chains, Other, living wages, sustainability
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
0
Average
Average
Average
Related to Research communities
Energy Research