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Effects of disruptive events within the supply chain on perceived logistics performance

Author

Listed:
  • Mohamed El Abdellaoui

    (LARNED, Hassan II University, Morocco)

  • Gilles Pache

    (CRET-LOG, Aix-Marseille University)

Abstract

This paper attempts to evaluate the possible effects of disruptive incidents on logistics performance as perceived by supply chain members. A conceptual model derived from a literature review identifies five sources of risks related to supply, demand, transportation, and infrastructures, along with socio-political and ecology risk, which engender five hypotheses. To test these hypotheses, an empirical study was conducted on 286 companies in an emerging country that is undertaking a continuous improvement process in supply chain management. The conceptual model is evaluated using structural equation modelling and partial least squares regression. The results confirm the presence of clear causality between disruptive events and logistics performance (significant negative effects of disruptive events on logistics performance), particularly regarding supply, demand, transportation and infrastructures. However, disruptive events linked to socio-political and ecological risk do not affect logistics performance, according to the decision makers interviewed.

Suggested Citation

  • Mohamed El Abdellaoui & Gilles Pache, 2019. "Effects of disruptive events within the supply chain on perceived logistics performance," Economics Bulletin, AccessEcon, vol. 39(1), pages 41-54.
    • Handle: RePEc:ebl:ecbull:eb-18-00743
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    References listed on IDEAS

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    Cited by:

    1. Ahmed Hamdi & Tarik Saikouk & Bouchaib Bahli, 2020. "Facing supply chain disruptions: enhancers of supply chain resiliency," Economics Bulletin, AccessEcon, vol. 40(4), pages 2943-2958.
    2. François Fulconis & Gilles Paché & Pierre-Michel Bousquet Bousquet, 2019. "Yellow vests dancing on traffic roundabouts: the fragility of supply chains exposed [Des gilets jaunes qui dansent sur les ronds-points : la fragilité des chaînes logistiques mise à nu]," Post-Print hal-02482617, HAL.

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    More about this item

    Keywords

    Demand risk; Flow monitoring; Infrastructure risk; Logistics performance; Partial least squares (PLS) regression; Socio-political and ecological risk; Structural equation modelling (SEM); Supply chain risk management; Supply risk; Transportation risk;
    All these keywords.

    JEL classification:

    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration

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