IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v4y2008i5p604-617.html
   My bibliography  Save this article

Identifying and evaluating unexpected events as sources of supply chain risk

Author

Listed:
  • S. Pavlou
  • V. Manthou

Abstract

To address risk during Supply Chain (SC) operations, it is required to identify and address risk origins. To overcome the rigidity of probabilistic and reaction based mechanisms, focus needs to be driven within an operational field that spans outside the borders of the traditional SC. Exploring the dynamics outside the SC operational environment and identifying interconnections between unexpected events, is a step in creating a risk strategy. This paper approaches risk by considering detrimental events as risk sources, hence identifying and classifying these events is the first step to develop an information systems risk strategy. An in-depth survey was carried out in order to establish the grounds for developing a methodology to define and identify detrimental events. The survey involved both existing literature and SC practitioners, in order to expand on operational expertise. Detrimental events were classified according to their types and were mapped against the SCOR model, which incorporates international and cross organisational SC operational knowledge.

Suggested Citation

  • S. Pavlou & V. Manthou, 2008. "Identifying and evaluating unexpected events as sources of supply chain risk," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 4(5), pages 604-617.
  • Handle: RePEc:ids:ijsoma:v:4:y:2008:i:5:p:604-617
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=18004
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Aqlan, Faisal & Lam, Sarah S., 2015. "A fuzzy-based integrated framework for supply chain risk assessment," International Journal of Production Economics, Elsevier, vol. 161(C), pages 54-63.
    2. Jacek Ryczyński & Agnieszka A. Tubis, 2021. "Tactical Risk Assessment Method for Resilient Fuel Supply Chains for a Military Peacekeeping Operation," Energies, MDPI, vol. 14(15), pages 1-24, August.
    3. João M. Lopes & Sofia Gomes & Lassana Mané, 2022. "Developing Knowledge of Supply Chain Resilience in Less-Developed Countries in the Pandemic Age," Logistics, MDPI, vol. 6(1), pages 1-19, January.
    4. Muhammad Junaid & Ye Xue & Muzzammil Wasim Syed & Ji Zu Li & Muhammad Ziaullah, 2019. "A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan," Sustainability, MDPI, vol. 12(1), pages 1-26, December.

    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:ids:ijsoma:v:4:y:2008:i:5:p:604-617. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=150 .

    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.