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dc.contributor.authorBlomsma, Fenna
dc.contributor.authorPeroni, Marina
dc.contributor.authorKravchenko, Mariia
dc.contributor.authorPigosso, Daniela
dc.contributor.authorHildenbrand, Jutta
dc.contributor.authorKristinsdottir, Anna Rùna
dc.contributor.authorKristoffersen, Eivind
dc.contributor.authorShabazi, Sasha
dc.contributor.authorNielsen, Kjartan Due
dc.contributor.authorJönbrink, Anna-Karin
dc.contributor.authorLi, Jingyue
dc.contributor.authorWiik, Carina
dc.contributor.authorMcAloone, Tim C
dc.description.abstractThis paper puts forward the Circular Strategies Scanner: a framework that introduces a taxonomy of circular strategies developed for use by manufacturing companies engaging in circular economy (CE) oriented innovation. Currently, a range of frameworks exists that propose a vision for how to operate in a CE, by identifying and organising relevant circular strategies. However, these frameworks have a limited applicability for specific business types, in particular manufacturing, and are unsuitable for use in CE oriented innovation, due to a lacking ability to support innovation processes through: 1) creating a comprehensive understanding of circular strategies, 2) mapping strategies currently applied and 3) finding opportunities for improved circularity across a range of business processes. This paper addresses these shortcomings by proposing a circular strategies framework for the manufacturing context, titled the Circular Strategies Scanner, which provides a comprehensive set of definitions of circular strategies and directly supports the early stages of CE oriented innovation. With this, the paper contributes to the body of work that develops CE transition methodology.nb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.titleDeveloping a circular strategies framework for manufacturing companies to support circular economy-oriented innovationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalJournal of Cleaner Productionnb_NO
dc.description.localcode© 2019. This is the authors’ accepted and refereed manuscript to the article. Locked until 4.9.2021 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
cristin.unitnameInstitutt for datateknologi og informatikk

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal