Knowledge integration process in construction projects: a social network analysis approach to compare competitive and collaborative working
AbstractResearch on knowledge integration across organizational boundaries is still very limited because of the assumption that knowledge is a critical asset, which should be secured within organizational boundaries. A variety of knowledge management frameworks have presented the same common characteristics, including information sharing as the basis for knowledge management, a supportive culture, trust and proximity. Social network analysis is used to examine the knowledge integration process in collaborative and competitive working systems on four case study projects based on public sector organizations. This involved shadowing participants and conducting interviews. Participants were selected from a set of functional teams according to their role. Five participants were interviewed from each project in order to check the validity and reliability of the data. The knowledge integration patterns are presented by quantitative methods using the social network analysis approach.
Download InfoIf 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.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Construction Management and Economics.
Volume (Year): 30 (2012)
Issue (Month): 1 (December)
Contact details of provider:
Web page: http://www.tandfonline.com/RCME20
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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 references are entirely missing, you can add them using this form.