Emerging Autopoietic Communities - Scalability of Knowledge Transfer in Complex Systems

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.

[1]  William P. Hall,et al.  Facilitating emergence of an ICT industry cluster , 2007, 2007 IEEE International Technology Management Conference (ICE).

[2]  B. McKelvey.  Perspective—Quasi-Natural Organization Science , 1997 .

[3]  W. Hall.  Biological Nature of Knowledge in the Learning Organization , 2005 .

[4]  S. N. SALTHE.  A Classification of Closure Concepts , 2000, Annals of the New York Academy of Sciences.

[5]  Bill Kilpatrick,et al.  Building Knowledge Sharing Communities Using Team Expertise Access Maps , 2005 .

[6]  Joseph M. Firestone,et al.  Key Issues in the New Knowledge Management , 2003 .

[7]  HERBERT A. SIMON,et al.  The Architecture of Complexity , 1991 .

[8]  K. Popper.  Objective Knowledge: An Evolutionary Approach , 1972 .

[9]  Eric Tsui,et al.  A framework for the improvement of knowledge-intensive business processes , 2007, Bus. Process. Manag. J..

[10]  Peter A. Corning,et al.  “Control information”: The missing element in Norbert Wiener’s cybernetic paradigm? , 2001 .

[11]  Deborah Blackman,et al.  Does Double Loop Learning Create Reliable Knowledge? , 2004 .

[12]  Susu Nousala,et al.  Tacit knowledge strategies and implementation in complex organisations: A Thai engineering company case study , 2006 .

[13]  Mile Terziovski,et al.  Building innovation capability in organizations: an international cross-case perspective , 2007 .

[14]  H. Maturana,et al.  Autopoiesis and Cognition : The Realization of the Living (Boston Studies in the Philosophy of Scie , 1980 .

[15]  G. Krogh,et al.  Knowing in Firms: Understanding, Managing, and Measuring Knowledge , 1999 .

[16]  George S. Day,et al.  Driving Through the Fog: Managing at the Edge , 2004 .

[17]  B. McKelvey.  From Fields to Science: Can Organization Studies make the Transition? , 2002 .

[18]  W. Hall.  Organizational Autopoiesis and Knowledge Management , 2003 .

[19]  Stanley N. Salthe,et al.  The Spontaneous Origin of New Levels in a Scalar Hierarchy , 2004, Entropy.

[20]  William P. Hall,et al.  Emergence and Growth of Knowledge and Diversity in Hierarchically Complex Living Systems , 2006 .

[21]  Howard Hunt Pattee,et al.  Hierarchy Theory: The Challenge of Complex Systems , 1973 .

[22]  Tim Grant,et al.  Comparing OODA and Other Models as Operational View C2 Architecture , 2005 .

[23]  H. Maturana,et al.  Autopoiesis and Cognition , 1980 .

[24]  J. Collier,et al.  Autonomy and Process Closure as the Basis for Functionality , 2000, Annals of the New York Academy of Sciences.

[25]  William P. Hall,et al.  Managing Maintenance Knowledge in the Context of Large Engineering Projects: Theory and Case Study , 2003, J. Inf. Knowl. Manag..

[26]  Bill Kilpatrick,et al.  Organisational management of project and technical knowledge over fleet lifecycles , 2008, WCE 2008.

[27]  Mile Terziovski,et al.  Development and exploitation of innovation capability at a defence project engineering company (DPEC) , 2007 .

[28]  A Koestler,et al.  Ghost in the Machine , 1970 .

[29]  M. Kendall,et al.  The Logic of Scientific Discovery. , 1959 .

[30]  Rodrigo Magalhaes.  Organizational Knowledge and Learning , 1998 .

[31]  H. Simon,et al.  The Organization of Complex Systems , 1977 .

[32]  William P. Hall,et al.  Exploring the Foundations of Organisational Knowledge: An Emergent Synthesis Grounded in Thinking Related to Evolutionary Biology , 2011 .

[33]  Tim Grant,et al.  Unifying planning and control using an OODA-based architecture , 2005 .

[34]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[35]  J. Boyd,et al.  A Discourse on Winning and Losing , 1987 .

[36]  S. Salthe.  Evolving Hierarchical Systems: Their Structure and Representation , 1985 .

[37]  Christian Ø. R. Pedersen.  The Development Perspectives for the ICT Sector in North Jutland , 2005 .

[38]  S. Winter,et al.  An evolutionary theory of economic change , 1983 .

[39]  K. Popper,et al.  Conjectures and refutations;: The growth of scientific knowledge , 1972 .

[40]  Franz von Kutschera,et al.  Causation , 1993, J. Philos. Log..

[41]  Sabu John,et al.  Transferring Tacit Knowledge in Extended Enterprises , 2007, IKE.

[42]  William P. Hall,et al.  Generating Fleet Support Knowledge from Data and Information , 2003 .

[43]  H. Maturana,et al.  Autopoiesis: the organization of living systems, its characterization and a model. , 1974, Currents in modern biology.

[44]  CLIFF JOSLYN,et al.  Levels of Control and Closure in Complex Semiotic Systems , 2000, Annals of the New York Academy of Sciences.

[45]  J. Mingers,et al.  Self-Producing Systems: Implications and Applications of Autopoiesis , 1996 .

[46]  Susu Nousala,et al.  Tacit Knowledge Networks: And their implementation in complex organizations , 2009 .

[47]  W. Hall,et al.  A Biological Theory of Knowledge and Applications to Real World Organizations , 2005 .

[48]  I. Nonaka,et al.  The Knowledge Creating Company , 2008 .

[49]  William P. Hall.  Forming New ICT Industry Clusters in Victoria , 2006 .

[50]  Milan Zeleny,et al.  SELF-ORGANIZATION OF LIVING SYSTEMS: A FORMAL MODEL OF AUTOPOIESIS , 1977 .

[51]  Arthur Koestler,et al.  Janus: A Summing Up , 1978 .

[52]  Araújo,et al.  An Evolutionary theory of economic change , 1983 .

[53]  Gary James Jason,et al.  The Logic of Scientific Discovery , 1988 .

[54]  F. Geyer,et al.  Sociocybernetic paradoxes : observation, control and evolution of self-steering systems , 1988 .

[55]  Stanley N. Salthe,et al.  Development and Evolution: Complexity and Change in Biology , 1993 .