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ADAPTING A DASHBOARD-BASED APPROACH FOR FEASIBILITY ANALYSIS TO CIRCULAR PSS BUSINESS MODELS

Published online by Cambridge University Press:  19 June 2023

Tobias Mahl ,
Michelle Petry  and
Christian Köhler
Tobias Mahl
Affiliation:
htw saar - Saarland University of Applied Sciences
Michelle Petry
Affiliation:
htw saar - Saarland University of Applied Sciences
Christian Köhler*
Affiliation:
htw saar - Saarland University of Applied Sciences
*
Köhler, Christian, htw saar - Saarland University of Applied Sciences, Germany, [email protected]

Abstract

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Sustainability and circular economy are currently some of the strongest trends in industry as well as in politics. They are seen as the best chance to tackle emissions, pollution and climate change while maintaining the prosperity of society. Product-Service System (PSS) business models are seen as an enabler of the circular economy. However, the development of such business models is a major challenge, especially for SMEs. Therefore, there is a need for support through a methodical approach in the development and decision-making. This paper combines and extends an existing approach for assessing the feasibility of PSS-driven business models and a decision-support matrix for recirculation strategies to provide support to practitioners in the early development phases of circular PSS business models. The existing approach for feasibility analysis was focused on PSS only. To include the perspective of circularity and sustainability a systematic literature review was conducted to identify necessary criteria. Combined with the decision-support matrix the improved method aims to be a lean method to support feasibility analysis and decision-making in circular PSS business model development.

Keywords

Circular economyCircular Business ModelsProduct-Service Systems (PSS)SustainabilityFeasibility Analysis
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 465 - 474
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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