IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-18-00743.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2019/Volume39/EB-19-V39-I1-P6.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bueno-Solano, Alfredo & Cedillo-Campos, Miguel Gastón, 2014. "Dynamic impact on global supply chains performance of disruptions propagation produced by terrorist acts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 1-12.
    2. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    3. Eugene Levner & Alexander Ptuskin, 2018. "Entropy-based model for the ripple effect: managing environmental risks in supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 56(7), pages 2539-2551, April.
    4. Wagner, Stephan M. & Neshat, Nikrouz, 2010. "Assessing the vulnerability of supply chains using graph theory," International Journal of Production Economics, Elsevier, vol. 126(1), pages 121-129, July.
    5. Sophie Nivoix & Serge Rey & Jacques Jaussaud, 2015. "The Great East Japan Earthquake and stock price," Post-Print hal-01253236, HAL.
    6. Jacques Jaussaud & Sophie Nivoix & Serge Rey, 2015. "The Great East Japan Earthquake and Stock Prices," Economics Bulletin, AccessEcon, vol. 35(2), pages 1237-1261.
    7. Marko Sarstedt & Christian Ringle, 2010. "Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1299-1318.
    8. Kevin P. Scheibe & Jennifer Blackhurst, 2018. "Supply chain disruption propagation: a systemic risk and normal accident theory perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 43-59, January.
    9. Hasan Faruq & Michael Webb & David T Yi, 2016. "Institutions and Local Supplier Quality," Economics Bulletin, AccessEcon, vol. 36(4), pages 2291-2297.
    10. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    11. Jacques Jaussaud & Sophie Nivoix & Serge Rey, 2015. "The Great East Japan Earthquake and stock price," Post-Print hal-01560896, HAL.
    12. Wilson, Martha C., 2007. "The impact of transportation disruptions on supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 295-320, July.
    13. Panayides, Photis M. & Venus Lun, Y.H., 2009. "The impact of trust on innovativeness and supply chain performance," International Journal of Production Economics, Elsevier, vol. 122(1), pages 35-46, November.
    14. Maurício Fontoura Blos & Robson Marinho da Silva & Hui-Ming Wee, 2018. "A framework for designing supply chain disruptions management considering productive systems and carrier viewpoints," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5045-5061, August.
    15. Chengpeng Wan & Zaili Yang & Di Zhang & Xinping Yan & Shiqi Fan, 2018. "Resilience in transportation systems: a systematic review and future directions," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 479-498, July.
    16. Chowdhury, Md Maruf H. & Quaddus, Mohammed, 2017. "Supply chain resilience: Conceptualization and scale development using dynamic capability theory," International Journal of Production Economics, Elsevier, vol. 188(C), pages 185-204.
    17. Hanjoon M. Jung & Abid A Burki & Mushtaq A Khan, 2012. "Supply of Dairy Products in Developing Countries," Economics Bulletin, AccessEcon, vol. 32(4), pages 3213-3223.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    2. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.
    3. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    4. Seyedmohsen Hosseini & Dmitry Ivanov, 2022. "A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach," Annals of Operations Research, Springer, vol. 319(1), pages 581-607, December.
    5. A. V. Thomas & Biswajit Mahanty, 2021. "Dynamic assessment of control system designs of information shared supply chain network experiencing supplier disruption," Operational Research, Springer, vol. 21(1), pages 425-451, March.
    6. Alexander Pavlov & Dmitry Ivanov & Frank Werner & Alexandre Dolgui & Boris Sokolov, 2022. "Integrated detection of disruption scenarios, the ripple effect dispersal and recovery paths in supply chains," Annals of Operations Research, Springer, vol. 319(1), pages 609-631, December.
    7. Benjamin Korder & Julien Maheut & Matthias Konle, 2024. "Simulation Methods and Digital Strategies for Supply Chains Facing Disruptions: Insights from a Systematic Literature Review," Sustainability, MDPI, vol. 16(14), pages 1-31, July.
    8. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    9. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    10. Harada, Kimie & Okimoto, Tatsuyoshi, 2021. "The BOJ's ETF purchases and its effects on Nikkei 225 stocks," International Review of Financial Analysis, Elsevier, vol. 77(C).
    11. Kanokporn Kungwalsong & Abraham Mendoza & Vasanth Kamath & Subramanian Pazhani & Jose Antonio Marmolejo-Saucedo, 2022. "An application of interactive fuzzy optimization model for redesigning supply chain for resilience," Annals of Operations Research, Springer, vol. 315(2), pages 1803-1839, August.
    12. Nocera, Fabrizio & Contento, Alessandro & Gardoni, Paolo, 2024. "Risk analysis of supply chains: The role of supporting structures and infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    13. Christian F. Durach & Tomas Repasky & Frank Wiengarten, 2023. "Patterns in firms’ inventories and flexibility levels after a low‐probability, high‐impact disruption event: Empirical evidence from the Great East Japan Earthquake," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1705-1723, June.
    14. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    15. Dixit, Vijaya & Verma, Priyanka & Tiwari, Manoj Kumar, 2020. "Assessment of pre and post-disaster supply chain resilience based on network structural parameters with CVaR as a risk measure," International Journal of Production Economics, Elsevier, vol. 227(C).
    16. R. Rajesh, 2022. "A novel advanced grey incidence analysis for investigating the level of resilience in supply chains," Annals of Operations Research, Springer, vol. 308(1), pages 441-490, January.
    17. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    18. Rana Azghandi & Jacqueline Griffin & Mohammad S. Jalali, 2018. "Minimization of Drug Shortages in Pharmaceutical Supply Chains: A Simulation-Based Analysis of Drug Recall Patterns and Inventory Policies," Complexity, Hindawi, vol. 2018, pages 1-14, December.
    19. Wei Xu & Dong-Ping Song, 2022. "Integrated optimisation for production capacity, raw material ordering and production planning under time and quantity uncertainties based on two case studies," Operational Research, Springer, vol. 22(3), pages 2343-2371, July.
    20. Iftikhar, Anas & Purvis, Laura & Giannoccaro, Ilaria, 2021. "A meta-analytical review of antecedents and outcomes of firm resilience," Journal of Business Research, Elsevier, vol. 135(C), pages 408-425.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-18-00743. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.