IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v26y2017i1p34-56.html
   My bibliography  Save this article

How do different supply chain configuration settings impact on performance trade-offs?

Author

Listed:
  • Yasmine Sabri
  • Guido J.L. Micheli
  • Cali Nuur

Abstract

The notion of 'fit' in the supply chain management (SCM) literature has evolved following the adoption of the contingency approach in an endeavour to achieve greater organisational effectiveness. In this paper, we investigate the possible approaches to achieving a state of fit between supply chain configuration settings and performance indicators, while taking into account the contextual factors related to different industry sectors and geographical dispersion levels. This study addresses the pressing issue of the performance trade-offs faced by companies to achieve a higher service level and customer satisfaction (effectiveness) on the one hand, while being cost-efficient on the other hand (efficiency). The paper contributes to the SCM literature and practice through synthesising a conceptual framework that scrutinises the relationships between six individual configuration settings and nine effectiveness/efficiency indicators. The study's findings explain the motivations behind different configuration decisions, which help in obtaining the most appropriate fit between supply chain configuration and performance.

Suggested Citation

  • Yasmine Sabri & Guido J.L. Micheli & Cali Nuur, 2017. "How do different supply chain configuration settings impact on performance trade-offs?," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 26(1), pages 34-56.
    • Handle: RePEc:ids:ijlsma:v:26:y:2017:i:1:p:34-56
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=80628
    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. Asrat Mekonnen Gobachew & Hans-Dietrich Haasis, 2023. "Scenario-Based Optimization of Supply Chain Performance under Demand Uncertainty," Sustainability, MDPI, vol. 15(13), pages 1-32, July.
    2. Vitalii Naumov, 2020. "Substantiating the Logistics Chain Structure While Servicing the Flow of Requests for Road Transport Deliveries," Sustainability, MDPI, vol. 12(4), pages 1-23, February.

    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:ijlsma:v:26:y:2017:i:1:p:34-56. 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=134 .

    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.