||Nowadays, volatile and complex environment
has forced most organizations to operate in team-based ways to increase
their flexibility and adaptability. For teams to adapt, local innovation
and change, that is, self-organization, is the most critical process.
However, the self-organizing process is poorly understood both in
academic and practice. To deep our understanding of self-organizing
teams, this research attempts to explore the self-organizing mechanism
in group cognitive system perspective. One System Dynamics model is
built to represent important self-organization processes. And the
classical self-organizing theory-Dissipative Structure Theory is applied
to guide important simulations to acquire knowledge of dynamic interactions
among those processes. Several positive loops are found to be quite
essential in structuring and de-structuring team’s operation structure.
With the knowledge of evolutionary feedback acquired, impact of critical
environmental factors, such as knowledge redundancy, communication
quality, and open interactions, are further investigated and experimented.