Abstract
This research examines results from a dual case study in defining a model for high productivity and performance of cross-functional development teams in an aerospace engineering community. More specifically it explores cohesiveness and team dynamics over an approximate 4-year period in a project team that recently designed and built a highly innovative propulsion system. The ‘successful’ team delivered this propulsion system ahead of schedule, below cost, and was considered a highly productive team within the researched Aerospace firm. Ucinet is used to map k-cores, month by month, for the entire life cycle of the project. This methodology is then compared to a ‘less successful’ team to determine those variables responsible for high productivity and overall success of a highly technical research and development team. The results encompass the critical times in networked teams that inclusion in membership of the team is most critical for success.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Barthelemy, J.-F., Waszak, M. R., Jones, K. M, Silcox, R. J., Silva, W. A and Nowaczyk, R.H.,“Charting Multidisciplinary Team External Dynamics using a Systems Thinking Approach,” AIAA Paper 98-4939, AIAA/USAF/NASA/ISSMO
Borgatti, S. & Cross, R. (2003). A Social Network View of Organizational Learning: Relational and Structural Dimensions of‘Know Who’. Management Science, 49 pp. 432–445.
Brown Seely, John and Duguid, Paul. “ Organizing Knowledge.” California Management Review 40, no. 3 (1998): 90–111.
Brown, J. S., & Duguid, P. (2000). The social life of information. Boston, MA: Harvard Business School Press.
Burt, Ronald S. “ Structural Holes Versus Network Closure As Social Capital.” Social Capital: Theory and Research (2001): 31–56.
Cross, R., Parker, A., Prusak, L. & Borgatti, S.P. “ Knowing What We Know: Supporting Knowledge Creation and Sharing in Social Networks.” Organizational Dynamics 30, no. 2 (2001): 100–20.
Dodgson, Mark. “ Learning, trust, and technological collaboration” . Human Relations, New York, Jan 1993, Volume 46, Issue 1, Page 77, 19 pages.
Hannemann, Robert A. Introduction to Social Networking Methods, 2001.
Powell, W. W., K. W. Koput, L. Smith-Doerr, and J. Owen-Smith. 1999. “ Network Position and Firm Performance.” pp. 129–59 in Research in the Sociology of Organizations, edited by S. Andrews and D. Knoke, vol. 16, JAI Press.
Rothwell, Roy. Towards the Fifth generation Innovation Process;, Science Policy Research Unit, University of Sussexm UK, International Marketing Review Vol 11m No 1, 1994 pp. 7–31 MCB University Press 0265–1335.
Wassermann, S. and Faust, K (1994). Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press.
Wellman, B. Networks in the global village: life in contemporary communities. -1999 -Boulder, Colo: Westview Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 IFIP International Federation for Information Processing
About this paper
Cite this paper
Ogilvie, K., Assimakopoulos, D. (2007). Social Network Analysis of Team Dynamics and Intra-Organizational Development in an Aerospace Firm. In: Camarinha-Matos, L.M., Afsarmanesh, H., Novais, P., Analide, C. (eds) Establishing the Foundation of Collaborative Networks. PRO-VE 2007. IFIP — The International Federation for Information Processing, vol 243. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73798-0_44
Download citation
DOI: https://doi.org/10.1007/978-0-387-73798-0_44
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-0564-5
Online ISBN: 978-0-387-73798-0
eBook Packages: Computer ScienceComputer Science (R0)