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A System Dynamics Approach to the Study of Group Cognitive Processes Involved in Self-Organizing Teams

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.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0618101-154356
Date18 June 2001
CreatorsWang, Wei-yang
ContributorsHung-ji Chen, Shin-huei Lin, Ray Tsai, Showing Young, Yi-ming Tu, Feng-yang Kuo
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618101-154356
Rightsunrestricted, Copyright information available at source archive

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