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Assessing organised proximity with textometry and network analysis
[Appréhender la proximité organisée avec la textométrie et l’analyse de réseaux]

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  • Julien Le-Van-Suu

    (ESO - Espaces et Sociétés - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UM - Le Mans Université - UA - Université d'Angers - UR2 - Université de Rennes 2 - CNRS - Centre National de la Recherche Scientifique - Nantes Univ - IGARUN - Institut de Géographie et d'Aménagement Régional de l'Université de Nantes - Nantes Université - pôle Humanités - Nantes Univ - Nantes Université - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

Abstract

This article suggests multiple methods to approach organised proximity. A set of semi-structured interviews is analysed using textometry to explore the similarities between stakeholders in the logistics sector. A novel methodological approach provides quantifiable metrics for two essential logics : "similarity", which refers to a mental alignment with shared ideas, and "belonging", defined as the process of integrating individual actors into a unified network. In broadening the scope of organised proximity research, this study unveils a comprehensive framework that fuses textometry and network analysis. This integration offers a multidimensional viewpoint for understanding and gauging stakeholder interactions, significantly enriched by the introduction of a new entropy indicator. Public actors are engaged in promoting innovative, eco-friendly practices in logistics to reduce greenhouse gas emissions and enhance spatial equity. They seek to establish themselves as coordinators in the sector, shaping strategies that address the collective needs of private actors. As it stands, institutions like the Tenlog Cluster may facilitate coordination. However, these organisations only partially meet the challenges in the logistics sector given that stakeholders frequently have disparate interests and objectives. As a result, coordination relies on institutions and associations such as the Tenlog Cluster. However, the creation of these entities cannot fully address the challenges of the logistics sector, as stakeholders have limited shared interests and objectives. Building a common language, working habits, and mutual trust may also improve the coordination process. The dynamic and transactional nature of logistical governance in the Occitanie region provides a relevant example establishing a connection between textometry, network analysis, and organised proximity. Going beyond theoretical contributions, this research offers actionable tools for logistics stakeholders. These tools can inform more effective policy-making by identifying areas where enhanced coordination can yield operational benefits.

Suggested Citation

  • Julien Le-Van-Suu, 2024. "Assessing organised proximity with textometry and network analysis [Appréhender la proximité organisée avec la textométrie et l’analyse de réseaux]," Post-Print hal-04794395, HAL.
    • Handle: RePEc:hal:journl:hal-04794395
    DOI: 10.3917/reru.241.0047
    Note: View the original document on HAL open archive server: https://hal.science/hal-04794395v1
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    References listed on IDEAS

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