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Can you measure resilience if you are unable to define it? The analysis of Supply Network Resilience (SNRES)

Author

Listed:
  • Yuan Yao

    (EM Strasbourg - École de Management de Strasbourg = EM Strasbourg Business School, Humanis - Hommes et management en société / Humans and management in society - UNISTRA - Université de Strasbourg - EM Strasbourg - École de Management de Strasbourg = EM Strasbourg Business School)

  • Nathalie Fabbe-Costes

    (CRET-LOG - Centre de Recherche sur le Transport et la Logistique - AMU - Aix Marseille Université)

Abstract

The increasing importance of resilience in supply chain management (SCM) has driven managers and scholars to seek ways to evaluate it. However, in the SCM literature, the conceptualisation of what resilience is and how supply chains are resilient in practice remains vague, which makes measuring it difficult. Based on an analysis of what resilience and being resilient means in different disciplines, combined with extant SCM literature about resilience, this paper clarifies the concept and posits that resilience, in the SCM context, is a process combining three interactive capabilities that operates at three intertwined levels of organisation: firm, supply chain and supply network. This multi-level analysis gives rise to a framework of overall supply network resilience (SNRES) that provides insights for both academics and practitioners and also leads to a useful analytical approach to evaluate resilience at different levels of a supply network.

Suggested Citation

  • Yuan Yao & Nathalie Fabbe-Costes, 2018. "Can you measure resilience if you are unable to define it? The analysis of Supply Network Resilience (SNRES)," Post-Print hal-01929116, HAL.
    • Handle: RePEc:hal:journl:hal-01929116
    DOI: 10.1080/16258312.2018.1540248
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    Citations

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    Cited by:

    1. S. M. Misbauddin & Mohammad Jahangir Alam & Chitra Lekha Karmaker & Md. Noor Un Nabi & Md. Mahedi Hasan, 2023. "Exploring the Antecedents of Supply Chain Viability in a Pandemic Context: An Empirical Study on the Commercial Flower Supply Chain of an Emerging Economy," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    2. Centobelli, Piera & Cerchione, Roberto & Maglietta, Amedeo & Oropallo, Eugenio, 2023. "Sailing through a digital and resilient shipbuilding supply chain: An empirical investigation," Journal of Business Research, Elsevier, vol. 158(C).
    3. Munir, Muhammad Adeel & Hussain, Amjad & Farooq, Muhammad & Rehman, Ateekh Ur & Masood, Tariq, 2024. "Building resilient supply chains: Empirical evidence on the contributions of ambidexterity, risk management, and analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    4. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    5. Qining Deng & K. Noorliza, 2023. "Integration, Resilience, and Innovation Capability Enhance LSPs’ Operational Performance," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    6. El Baz, Jamal & Ruel, Salomée & Jebli, Fedwa, 2023. "Harnessing supply chain resilience and social performance through safety and health practices in the COVID-19 era: An investigation of normative pressures and adoption timing's role," International Journal of Production Economics, Elsevier, vol. 264(C).
    7. Lechaptois, Lucie, 2020. "Framing supply chain visibility through a multi-field approach," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 487-519, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    8. Clavijo-Buritica, Nicolás & Triana-Sanchez, Laura & Escobar, John Willmer, 2023. "A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

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