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Understanding the supply chain resilience: a Dynamic Capabilities approach

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  • Yao, Yuan
  • Meurier, Beatrice

Abstract

This paper proposes to view the resilience of supply chains in a dynamic capabilities perspective. Both concepts are defined and their characteristics are analyzed in order to better understand their significations and to establish a link between them. We define supply resilience as the ability to bounce back from disruptions and to permanently deal with and respond to the changing environment. The link between the two literature reviews is made by adopting a process view of both concepts, namely the process of adaptation, absorption and innovation to create and sustain competitive advantage. We then build two propositions that will be used for future empirical testing.

Suggested Citation

  • Yao, Yuan & Meurier, Beatrice, 2012. "Understanding the supply chain resilience: a Dynamic Capabilities approach," MPRA Paper 58124, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58124
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    File URL: https://mpra.ub.uni-muenchen.de/58124/1/MPRA_paper_58124.pdf
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    References listed on IDEAS

    as
    1. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
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    3. Kathleen M. Eisenhardt & Jeffrey A. Martin, 2000. "Dynamic capabilities: what are they?," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1105-1121, October.
    4. Cynthia A. Lengnick-Hall & Tammy E. Beck, 2009. "Resilience Capacity and Strategic Agility: Prerequisites for Thriving in a Dynamic Environment," Working Papers 0059, College of Business, University of Texas at San Antonio.
    5. Jamal Shamsie & Xavier Martin & Danny Miller, 2009. "In with the old, in with the new: capabilities, strategies, and performance among the Hollywood studios," Strategic Management Journal, Wiley Blackwell, vol. 30(13), pages 1440-1452, December.
    6. A. Georges L. Romme & Maurizio Zollo & Peter Berends, 2010. "Dynamic capabilities, deliberate learning and environmental dynamism: a simulation model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1271-1299, August.
    7. Lino Briguglio & Gordon Cordina & Nadia Farrugia & Stephanie Vella, 2009. "Economic Vulnerability and Resilience: Concepts and Measurements," Oxford Development Studies, Taylor & Francis Journals, vol. 37(3), pages 229-247.
    8. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    9. Georg Schreyögg & Martina Kliesch‐Eberl, 2007. "How dynamic can organizational capabilities be? Towards a dual‐process model of capability dynamization," Strategic Management Journal, Wiley Blackwell, vol. 28(9), pages 913-933, September.
    10. Riccardo Leoncini & Sandro Montresor & Giovanna Vertova, 2006. "Dynamic Capabilities between Firm Organization and Local Development: A Critical Survey," Economia politica, Società editrice il Mulino, issue 3, pages 475-502.
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    Cited by:

    1. Ahmed Mohammed & Morteza Yazdani & Amar Oukil & Ernesto D. R. Santibanez Gonzalez, 2021. "A Hybrid MCDM Approach towards Resilient Sourcing," Sustainability, MDPI, vol. 13(5), pages 1-30, March.

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    More about this item

    Keywords

    Supply Chain Risk Management; Supply Chain Resilience; Resource-Based View (RBV); Dynamic Capabilities (DC);
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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