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Journal Articles International Journal of Operations and Production Management Year : 2022

Towards social network metrics for supply network circularity

Abstract

Purpose Despite the systemic nature of circular economy (CE), theorisation that draws from a supply network perspective is only incipient. Moreover, the operations and supply chain management (OSCM) field has engaged in little dialogue with circularity. This study explores social network analysis (SNA) to depict how the shift from linear to circular not only leads to higher rates of resource economy, repair and recycle but also reshapes governance dynamics and network structure of supply networks. Design/methodology/approach The study departs from a systematic review of the literature and draws from core concepts in OSCM, CE and SNA to offer theoretical propositions that articulate how social network metrics can depict supply network circularity. The framework is illustrated with examples from fashion and electronics industries. Findings Four theoretical propositions enlighten how betweenness centrality, eigenvector centrality and network density can explain the shift from linear to circular supply networks across the three CE strategies of narrowing, slowing and closing. Originality/value The combination of biomimicry, CE, the push–pull dichotomy and social network metrics offer a theory-driven framework for supply network circularity.
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Dates and versions

hal-04048361 , version 1 (31-03-2023)

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Leonardo Marques, Marina Dastre Manzanares. Towards social network metrics for supply network circularity. International Journal of Operations and Production Management, 2022, 43 (4), pp.595-618. ⟨10.1108/IJOPM-02-2022-0139⟩. ⟨hal-04048361⟩

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