IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v8y2015i3p344-364.html
   My bibliography  Save this article

Resource dependency and collaboration in construction supply chain: literature review and development of a conceptual framework

Author

Listed:
  • Matteo Donato
  • Kamrul Ahsan
  • Himanshu Shee

Abstract

The construction industry supply chain is seen as a highly volatile and inefficient mechanism that falls well short of expectations due to its project focus rather than its supply chain management prowess. Relationships are short term and project-based so the development of enduring relationships become difficult. The purpose of this study is to present a conceptual model that looks at how construction supply chain actors develop relationships from partner selection through to project completion. The conceptual model, suggests that the relationship is dynamic and changes through the life cycle of a project and is linked to future working relationships. Proposing that dependency and collaboration, trust and price and mediated and non-mediated power become interrelated rather than individual constructs that act independently on the relationship. The relationships proposed will provide an avenue to further extend the literature on supply chain relationships, not only in the construction industry but possibly in other industries that rely heavily on third party suppliers.

Suggested Citation

  • Matteo Donato & Kamrul Ahsan & Himanshu Shee, 2015. "Resource dependency and collaboration in construction supply chain: literature review and development of a conceptual framework," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 8(3), pages 344-364.
  • Handle: RePEc:ids:ijpman:v:8:y:2015:i:3:p:344-364
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=69157
    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. Deep Shumank & Asim Mohd & Kesarwani Neeti & Kandpal Shweta, 2018. "Identification of Delay Causing Actor in the Indian Real Estate Project: an AHP-Based Approach," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 6(1), pages 116-130, September.
    2. Qiang Du & Jiajie Zhou, 2022. "Evolution of Low Carbon Supply Chain Research: A Systematic Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-20, November.

    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:ijpman:v:8:y:2015:i:3:p:344-364. 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=255 .

    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.