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Knowledge Management Research & Practice

, Volume 10, Issue 2, pp 118–127 | Cite as

Research teams as complex systems: implications for knowledge management

  • Eleftheria VasileiadouEmail author
Article

Abstract

The recent increase in research collaboration creates the need to better understand the interaction between individual researchers and the collaborative team. The paper elaborates the conceptualisation of research teams as complex systems which emerge out of the local interactions of individual members operating in their local research groups, and which exhibit different dynamics: the local, the global dynamics, and the contextual dynamics. A model of research teams as complex systems is also introduced. This conceptualisation provides unique insights on management of distributed research teams: (a) the internal operations of some teams are more sensitive to external events than others; (b) conflicts emerge as a mismatch of management structures at the different levels in which a team operates; and (c) teams of high complexity have additional coordination needs, which can be fulfilled by the use of information and communication technologies. Recommendations are drawn for the use of a complex adaptive systems model in the field of knowledge management.

Keywords

systems thinking small teams knowledge teams complex systems 

Notes

Acknowledgements

The paper has greatly benefitted from comments by Rafael Gonzalez, Gaston Heimeriks, Diana Lucio-Arias, Karolina Safarzyńska (in alphabetic order), and two anonymous referees.

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Copyright information

© Operational Research Society 2012

Authors and Affiliations

  1. 1.VU University AmsterdamThe Netherlands

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