IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Towards developing competency-based measures for project managers in mass house building projects in developing countries

  • Divine Kwaku Ahadzie
  • David Proverbs
  • Paul Olomolaiye
  • N. Ankrah
Registered author(s):

    Within the human resource management (HRM) genre, the identification and development of appropriate competency-based measures is widely seen as the only viable means for validating and engendering managerial best practices. A competency-based conceptual model is proposed towards the development of a taxonomy of project managers' (PMs') performance measures in mass house building projects (MHBPs). The model reflects elements of both performance behaviours and outcomes in predicting the performance of PMs at the construction phase of the project life cycle. Data were elicited from members of the Ghana Real Estate Developers Association (GREDA), whose speciality is the construction of residential buildings, to test the validity of this conceptual model. The findings, which confirm the validity of the model, demonstrate the suitability and potential usefulness of this model for developing a competency-based agenda towards the professional development of PMs involved in the implementation of MHBPs in developing countries, like Ghana. The model could, therefore, form the basis for curriculum development, recruitment and selection, team deployment and job matching, career development and succession planning to facilitate the achievement of managerial best practices in MHBPs.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.tandfonline.com/doi/abs/10.1080/01446190802621028
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Taylor & Francis Journals in its journal Construction Management and Economics.

    Volume (Year): 27 (2009)
    Issue (Month): 1 ()
    Pages: 89-102

    as
    in new window

    Handle: RePEc:taf:conmgt:v:27:y:2009:i:1:p:89-102
    Contact details of provider: Web page: http://www.tandfonline.com/RCME20

    Order Information: Web: http://www.tandfonline.com/pricing/journal/RCME20

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:27:y:2009:i:1:p:89-102. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.