Emerging Autopoietic Communities – Scalability of Knowledge Transfer in Complex Systems
Aalto University; University of Melbourne
William P. Hall
University of Melbourne - Melbourne School of Engineering; Kororoit Institute
October 18, 2008
IFIP International Workshop on Distributed Knowledge Management, 2008
Knowledge-based communities are important but poorly understood systems for helping enterprises maintain their organizational integrity and address organizational imperatives. Based on an autopoietic theory of organization, we examine the emergence and development of knowledge-based communities at different scales up to large distributed enterprises and industry clusters. Knowledge-based communities are highly complex systems that evolve and mature through the phased emergence of new features and capabilities. Development and support of successfully sustainable communities needs to be based on a better understanding of how these features and capabilities emerge. To comprehend the impact of emergent behavior within and beyond organizational communities requires an understanding of the social or sociological aspects of a system in relation to the explicit formal/physical structures in the organization.
Number of Pages in PDF File: 8
Keywords: Organization Theory, Autopoiesis, Community of Practice, Knowledge Management, Complexity, Emergence
JEL Classification: D21, D70, D83, J24, L15, M12, M14, M54, O31, O32
Date posted: February 13, 2011 ; Last revised: December 1, 2011
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