IDEAS home Printed from https://ideas.repec.org/a/ids/ijenma/v13y2022i3p237-264.html
   My bibliography  Save this article

A causal model to prioritise the task of work packages in R%D projects

Author

Listed:
  • M. Ramanathan
  • M. Punniyamoorthy
  • V. Balamurugan
  • B.I. Ravi

Abstract

Evaluation of research and development (R%D) project is important for prioritising the tasks that are vital for the success of projects. In this paper, the work breakdown structure (WBS) principle has been applied to convert the R%D projects of the Defence Research and Development Organisation (DRDO) in India into a number of work packages. The DRDO projects are classified into five groups, and under each group, there are some 11 common work packages identified to complete the projects. Each work package consists of metrics and prioritising these metrics is important to concentrate on these important metrics as it is a project success criterion. A causal model has been developed in this paper for this purpose. An instrument has been developed, and the data were collected through a survey from 179 senior scientists of DRDO. Based on the results of the causal model developed, the metrics have been ranked from the work packages based on their respective complexity. The ranking of metrics in each work packages can help the project in-charge of any project in tactical and operational level activities down the line. The methodology adopted in this paper can be extended for the projects of such a similar nature.

Suggested Citation

  • M. Ramanathan & M. Punniyamoorthy & V. Balamurugan & B.I. Ravi, 2022. "A causal model to prioritise the task of work packages in R%D projects," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 13(3), pages 237-264.
  • Handle: RePEc:ids:ijenma:v:13:y:2022:i:3:p:237-264
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=125807
    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.

    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:ijenma:v:13:y:2022:i:3:p:237-264. 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=187 .

    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.