Perspectives on Team Dynamics: Meta Learning and Systems Intelligence
Research output: Contribution to journal › Article › Scientific › peer-review
Losada observed management teams develop their annual strategic plans in a lab designed for studying team behaviour. Based on these findings he developed a dynamical model of team interaction and introduced the concept of meta learning (ML) which represents the ability of a team to avoid undesirable attractors. This paper analyses the dynamic model in more detail and discusses the relationship between ML and the new concept of systems intelligence (SI) introduced by Saarinen and Hamalainen. We propose that the ML ability of a team clearly represents a systems intelligent competence. Losada's mathematical model predicts interesting dynamic phenomena in team interaction. However, our analysis shows how the model also produces strange and previously unreported behaviour under certain conditions. Thus, the predictive validity of the model also becomes problematic. It remains unclear whether the model behaviour call be said to be in satisfactory accordance with the observations of team interaction. Copyright (C) 2008 John Wiley & Sons, Ltd.
|Number of pages||11|
|Journal||Systems Research and Behavioral Science|
|Publication status||Published - 2008|
|MoE publication type||A1 Journal article-refereed|
- team interaction, meta learning, systems intelligence, chaotic dynamics, Lorenz attractor, COMPLEX DYNAMICS, METASTABLE CHAOS, PERFORMANCE, MODEL