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Agility and Resilience of the French “Industrie du Futur” During the Covid-19 Pandemic: Insights from a Multi-dimensional Framework
[Agilité et résilience de l’« Industrie du futur » française pendant la pandémie de Covid-19 : aperçus d’un cadre multidimensionnel]

Author

Listed:
  • Marcos Lima

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

  • Patricia Baudier

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie)

  • Marie Haikel-Elsabeh

    (PULV - Pôle Universitaire Léonard de Vinci)

  • Michel Dalmas

    (ICD International Business School Paris)

Abstract

This multi-case study analyzes the role of organizational factors influencing Industry 5.0 resilience during the early stages of the Covid-19 pandemic in France. McKinsey's 7S framework is used to understand how eight French Small and Medium Businesses belonging to the "Industrie du Futur" alliance adapted their strategy, structure, systems, skills, staff, shared values and management style while relying on their shared values to develop organizational agility and resilience. Our findings confirm that, even if technology systems were a key component of their response to the Covid-19 situation, human elements also played a central role in their ability to cope with the crisis. Our research also shed light on the importance of stakeholder networks in an organization's ability to adapt and prosper during crises. The resulting framework could help companies to develop a human-centric approach to agility and resilience.

Suggested Citation

  • Marcos Lima & Patricia Baudier & Marie Haikel-Elsabeh & Michel Dalmas, 2023. "Agility and Resilience of the French “Industrie du Futur” During the Covid-19 Pandemic: Insights from a Multi-dimensional Framework [Agilité et résilience de l’« Industrie du futur » française pend," Post-Print hal-04314578, HAL.
  • Handle: RePEc:hal:journl:hal-04314578
    as

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