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MULTI-INTERNAL ACTORS DIAGNOSIS OF CIRCULAR ECONOMY IN AN INDUSTRIAL SME

Published online by Cambridge University Press:  19 June 2023

Gabrielle Gentric*
Affiliation:
Laboratoire Genie Industriel, CentraleSupélec, Université Paris-Saclay; Style & Design;
François Cluzel
Affiliation:
Laboratoire Genie Industriel, CentraleSupélec, Université Paris-Saclay;
Vincent Boccara
Affiliation:
Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Université Paris-Saclay;
Hakim Boudaoud
Affiliation:
Equipe de Recherche sur les Processus Innovatifs (ERPI), Université de Lorraine
Julien Gonzalo
Affiliation:
Style & Design;
*
Gentric, Gabrielle, CentraleSupelec, France, gabrielle.gentric@centralesupelec.fr

Abstract

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In big companies, Circular Economy (CE) is being explored, nevertheless, Small and Medium-sized Enterprises (SMEs) struggle to follow because of particular barriers and a lack of practical guide. Here, we use Style & Design, a French industrial SME, as a case study to explore how SMEs can perform a successful CE integration. This article aims at proposing a multi-internal actor circularity diagnosis method. It focuses on building an inclusive and co-constructed therefore well-accepted and persistent integration of CE for SMEs, which is lacking today in the existing literature. This work relies on a mixed qualitative and quantitative data analysis applied on a corpus of 42 one-hour-long semi-structured interviews, with 37 different professions. We capture the view of the current and desired situation and identify CE barriers unique to each interviewed worker. We also connect with each worker and open the dialog for the rest of the CE deployment. The final goal is to assemble this worker-oriented diagnosis with quantitative diagnosis, like Life Cycle Analysis of the products and Material Flow Analysis of the factory, to diagnose a complete picture of an industrial SME circularity.

Type
Article
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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