The Role of Complex Systems in Public-Private Service Networks

The complex systems field provides powerful instruments and concepts for understanding evolution and developments. Public Private Service Networks (PPSN) are increasingly advocated as beneficial for the delivery of public services. Yet how these networks evolve and adopt new policies is ill-understood. In this paper the characteristics of PPSN and Complex Adaptive Systems (CAS) are compared and it is suggested that PPSN can be viewed as a particular type of CAS. We argue that CAS research methods and tools and agent based simulation of PPSN can help to increase our understanding of the evolutionary nature of PPSN.

[1]  Keith G. Provan,et al.  Do networks really work? A framework for evaluating public-sector organizational networks , 1999 .

[2]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[3]  D. Arase Public-Private Sector Interest Coordination in Japan's ODA , 1994 .

[4]  P. Anderson More is different. , 1972, Science.

[5]  B. Klievink Unravelling Interdependence : Coordinating Public-Private Service Networks , 2011 .

[6]  Paul C. Nutt,et al.  Comparing Public and Private Sector Decision-Making Practices , 2006 .

[7]  Cosma Rohilla Shalizi,et al.  Methods and Techniques of Complex Systems Science: An Overview , 2003, nlin/0307015.

[8]  Helmut Geist,et al.  Our earth's changing land : an encyclopedia of land-use and land-cover change , 2006 .

[9]  G. Nigel Gilbert,et al.  Agent-Based Models , 2007 .

[10]  Leigh Tesfatsion,et al.  Agent-based computational economics: modeling economies as complex adaptive systems , 2003, Inf. Sci..

[11]  Marijn Janssen,et al.  A Complex Adaptive System Perspective of Enterprise Architecture in Electronic Government , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[12]  D. Murray-Rust,et al.  From actors to agents in socio-ecological systems models , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[13]  NICHOLAS R. JENNINGS,et al.  An agent-based approach for building complex software systems , 2001, CACM.

[14]  Simon A. Levin,et al.  Complex adaptive systems: Exploring the known, the unknown and the unknowable , 2002 .