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A conceptual framework for identifying relevant features when realizing collaborative circular business models

  • Towards a sustainable future, looking beyond the system boundaries of a single manufacturing company is necessary to promote meaningful collaborations in terms of circular economy principles. In this context digital data processing technologies to connect the potential collaborators are seen as enablers to make use of proven collaborative circular business models (CCBMs). Since most of such data processing technologies rely on features to describe the entities involved, it is essential to provide guidance for identifying and selecting the relevant and most appropriate ones. Defining critical success factors (CSFs) is considered a suitable instrument to describe the decisive factors. A systematic literature review (SLR), followed by a qualitative synthesis is investigating two scientific fields of work, namely (1) the general relevant features of CCBMs and, (2) methodologies for determining CSFs. This results in the development of a conceptual framework which provides guidance for digital applications that perform further digital processing based on the relevant CSFs relating to the specific CCBM.

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Metadaten
Author of HS ReutlingenRappp, Jannis; Braun, Anja
URN:urn:nbn:de:bsz:rt2-opus4-40512
DOI:https://doi.org/10.1016/j.procir.2023.06.172
ISSN:2212-8271
Erschienen in:Procedia CIRP
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Journal article
Language:English
Publication year:2023
Tag:business model investigation; circular economy; collaborative business model; critical success factor; digital transformation
Volume:118
Issue:16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME ‘22, Italy
Page Number:6
First Page:1004
Last Page:1009
DDC classes:330 Wirtschaft
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International