IDEAS home Printed from https://ideas.repec.org/a/ids/ijpdev/v20y2015i4p286-303.html
   My bibliography  Save this article

Context management in collaborative decision making in complex design projects

Author

Listed:
  • Marija Jankovic
  • Julie Stal-Le Cardinal
  • Jean-Claude Bocquet

Abstract

The notion of context seems to be a growing subject in the engineering sciences. Several studies have pointed out the necessity to address the contextual limitations in collaborative design projects. It has been identified as one of the major factors that contribute to inadequate knowledge reuse in design projects. Nevertheless, the definition of the context depends on the subject and the field of application. In this paper, we point out different definitions of the context in artificial intelligence, engineering and cognitive sciences. In this research study we present a proposition for context modelling representing only one part of collaborative decision-making support. The research study presented in this paper is a result of collaboration with one of the French car manufacturers. Within the conceptual model of collaborative decision-making, we propose to integrate the information concerning three different contexts: decision, project and enterprise context. The aim of this model is to help and support the project team in project management.

Suggested Citation

  • Marija Jankovic & Julie Stal-Le Cardinal & Jean-Claude Bocquet, 2015. "Context management in collaborative decision making in complex design projects," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 20(4), pages 286-303.
  • Handle: RePEc:ids:ijpdev:v:20:y:2015:i:4:p:286-303
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=71397
    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. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.

    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:ijpdev:v:20:y:2015:i:4:p:286-303. 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=36 .

    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.