From cooperation to collaboration: an overview of supply chain relationships in a circular economy
Notice bibliographique
Résumé
Purpose: Since the development of supply chain management, it is recognized that supply chain relationships are an essential element that leads to the competitiveness of supply chains (Lambert and Cooper, 2000), and now it is clear they are essential for achieving supply chain sustainability and circular economy (Sudusinghe and Seuring, 2022). However, there is a variety of relationships in supply chains, and different types of relationships are useful in different circumstances (Heide and John, 1990). Managing circular supply chains requires managing both, forward and reverse flows of final products, semi-finished products and materials, as well as by-products, and is based on business relationships with multiple buyers and suppliers. The purpose of this study is to investigate a) what kind of supply chain relationships are present in circular supply chains and b) which kind of relationships lead to improved circular economy practices, increased circularity and better economic, environmental, and social sustainability outcomes. Research Approach: There is an abundance of literature on supply chain and business relationships, and now there is an increasing number of studies on circular supply chains. However, there is a lack of insights that indicate which kind of relationship results in increased circularity and better sustainability outcomes. Thus, a systematic literature review can help explore and systematise the current knowledge on supply chain relationships in the circular economy, as well as reveal directions for future studies. Following the procedure for conducting a systematic literature review (Tranfield et al., 2003), upon selection of specified keywords and search parameters in Scopus and Web Of Science databases, we obtained 147 articles. Our findings are based on the content analysis of the 97 articles relevant articles. Findings and Originality: Our preliminary findings indicate that relationships formed between companies and supply chains in a circular economy are very diverse. While companies engage to develop cooperative and collaborative relationships, coordination between companies takes place as well. We also found that next to these types of relationships, there are relationships also which are somewhat particular to the circular economy context: leasing/renting, symbiotic relationships and sharing. To our knowledge, research on these relationships is just emerging, as well as their impact on improved economic, environmental, and social sustainability of companies and their supply chains. Research Impact: The findings from the literature review show future research opportunities in relation to a) developing cooperative and collaborative relationships relevant for organizing forward and backward logistics flows and reverse logistics practices, as well as b) initiating and developing relationships particular for circular economy context: leasing/renting, symbiotic relationships and sharing. Practical Impact: To manage multiple material flows, companies are engaging with many suppliers, buyers and other stakeholders. Better management of these relationships can result in the improved economic and environmental performance of companies.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,016 | 0,027 |
| Études des sciences et des technologies | 0,003 | 0,007 |
| Communication savante | 0,010 | 0,017 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».