DOI: 10.34894/kn3tvg
title: UNDERSTANDING CIRCULAR ECONOMY TRANSITIONS: THE CASE OF CIRCULAR TEXTILES
title: Supplementary material
title: Transition circular textiles Netherlands

description: The data contained in this package is made public to support other researchers who like to reproduce or build on our analysis for the scientific article “Understanding Circular Economy Transitions – The Case of Circular Textiles” published in Business, Strategy and the Environment (Denise Reike, Marko Hekkert, Simona Negro, DOI: 10.1002/bse.3114).&lt;p&gt;
&lt;p&gt;The package gives extended explanations and access to some of the methods used in the scientific article and provides a database with key data (‘event data’) we used in producing the scientific article. All data was collected as part of a project for the Dutch Ministry of Infrastructure and Water Management (Ministerie van Infrastructuur en Waterstaat) titled “Transition to Circular Textiles in the Netherlands - An innovation systems analysis” (available here). Data collection and analysis for the project for the Ministry lasted for nine-months and was completed in October 2020. &lt;p&gt;
Research was executed jointly by members of the Innovation Studies Group from the Copernicus Institute of Sustainable Development at Utrecht University (Marko Hekkert, Denise Reike, Anne Rainville, Simona Negro).&lt;p&gt;
&lt;p&gt;The project and the academic article are aimed at providing an overview of the state of Dutch circular textile transition (at the time of research) through comparing three co-evolving circular economy solutions we found to characterize that circular textile transition. At the same time, this study is the first empirical application of the newly developing theoretical framework ‘Mission-oriented Innovation System’. &lt;p&gt;
&lt;p&gt;As part of our mixed method approach different types of data were used in the project, among these are desk research (method 1), a stakeholder workshop and interviews (method 2), and a dataset containing circular textile events (method 3).&lt;p&gt;
&lt;p&gt;The data provided in this package are:
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1. &lt;u&gt;Method&lt;/u&gt; which constitutes an extended version of the method section from the academic article “Understanding Circular Economy Transitions – The Case of Circular Textiles”. The publication process resulted in the shortening of the original method, and in order to do justice to the various methods we employed and reviewers that were interested in details of the methods, we provide a more comprehensive overview. 
&lt;p&gt;The file is provided in two formats: PDF and Readme.txt. 
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2. The &lt;u&gt;interview protocol&lt;/u&gt; used for the 20 interviews that we conducted during our research project; these interviews we also used in the analysis we provide in the academic article (see file Extended Methods, method 2).&lt;p&gt;
The file is provided in two formats: PDF and Readme.txt.
&lt;p&gt;
3. All the data used in our &lt;u&gt;‘event based’ analysis&lt;/u&gt; of the Dutch circular textile transition are included (see below: Method extended version), along with a reader guide (see below: Codebook 'event data'). Event data were extracted from policy documents and textile magazines. Events all have a unique code consisting of the abbreviation indicating the source type (GD, TV, JS) and the event number, e.g. GD1. This is consistent with event codes used in the scientific article. GD = general data (various policy documents, branch organization document), TV = Dutch magazines ‘Textilia’, ‘Vakblad Mannenmode’, ‘Vakblad Vrouwenmode’, JS = international fashion magazine ‘Just Style’. A total of 476 entries are recorded including details (e.g. source, year) and a categorization of the event according to the ‘innovation system function’ it fulfills (in total nine functions). In structuring the database, we are following the research tradition in innovation systems analysis: each row in the database stands for one event belonging to one of the nine innovation system functions. A single source (e.g. a policy document) can contain multiple events. For more explanations, please see the file called 'Method (extended version)' and 'Codebook' below. 
&lt;p&gt;The event data are provided in two formats: MS Excel and a CSV.