Building Resilient Supply Chains with Information Systems: Key Lessons from Médecins Sans Frontières Logistique During the COVID-19 Crisis

Sylvie Michel, Sylvie Gerbaix and Marc Bidan ()
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Sylvie Michel: IRGO - Institut de Recherche en Gestion des Organisations - UB - Université de Bordeaux - Institut d'Administration des Entreprises (IAE) - Bordeaux
Marc Bidan: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université

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Abstract: This research aims to analyze the resilience of humanitarian supply chains, with a focus on the role of information systems, through a case study of Médecins Sans Frontières Logistique during the COVID-19 pandemic. The empirical research methodology is based on a qualitative study, which includes semistructured interviews with key actors and operators from the Médecins Sans Frontières Logistique during the COVID-19 crisis in 2020 and 2021. The paper highlights the crucial and inherent role of information systems on each of the four dimensions of humanitarian supply chain resilience: reorganization capacity, collaboration, flexibility, and humanitarian culture. Drawing on recent theoretical works on supply chain resilience as well as empirical results, the paper underscores the importance of information systems and proposes a conceptual model of the relationship between humanitarian supply chain resilience and the role of information systems. The value of this research is linked to its empirical and qualitative study of a Non- Governmental Organization logistics operation during an international crisis, which contributes not only to the literature on resilience, but also provides guidance for managers to target their actions responsively and proactively to enhance resilience over time.

Keywords: Information Systems; Supply Chain resilience; Humanitarian logistics; Case studies; NGO (search for similar items in EconPapers)
Date: 2024-01-23
Note: View the original document on HAL open archive server: https://hal.science/hal-04412598v1
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Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-04412598

DOI: 10.5220/0012038000003467

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