Complex adaptive systems (CAS) have been defined as systems that involve the interactions of numerous individual agents or elements that change and learn from experience and can show emergent and adaptive properties not exhibited by the individual agents. CAS has been used to identify the evolutionary processes of anthills, bird flocking, and the economy, along with numerous other types of dynamic systems. Organizational management studies have embraced the study of CAS as a means of explaining how firms adapt, learn, and evolve (Organization Science May/June 1999; Management Science, July 2007). Although organization scientists have studied complex organizations for many years, a developing set of conceptual and computational tools makes possible new approaches to modelling nonlinear interactions within and between organizations. Network dynamics, socio-economics, agent-based computational economics, and other multi-agent modelling approaches have allowed management researchers to expand into unexplored areas in business applications.
We welcome interdisciplinary discourses that serve to enhance our understanding of the business environments, recognizing that the marketplace which organizations operate are living dynamic systems that is not always predictable. Studies using system dynamics modelling, agent-based modelling or other dynamic methodologies are encouraged. Preference will be given to high quality papers that have a firm grounding in scientific and mathematical methods, instead of primarily application-based papers. Because a substantial gap continues to exist between theory and practice, theoretical papers that also include a real-world application are very useful. Of additional interest are papers developing benchmarks and metrics that will provide guidance for future research.
We encourage submission of high-quality papers that take a systems approach to perplexing business issues. Potential topics include, but are not limited to, the following:
- Knowledge transfer and learning in the organization
- Network studies from an organizational perspective, i.e. use in technology transfer, diffusion of innovations, wom impact, etc.
- Co-opetition and other cooperation strategies
- Innovation in the dynamic organization
- Global evolution of consumer markets
- Artificial economic societies
- Supply chain dynamics
- Manufacturing for green consumerism
- Role of social networks in the organization
- Networks in the organization (e.g., board of directors, cross-functional teams, etc.)
- Co-evolution of organization systems (e.g., product, manufacturing, supply chain)
- Adoption/diffusion of innovations, particularly across organizational boundaries
- Artificial markets
- Team effectiveness
- Information management
- Interactive strategy formation
- Decision making in the organization
- System efficieincies
- Cooperation within the organization and across boundaries
- Any multi-agent business issue will be considered
Full paper deadline: 1 May, 2010
Notification of acceptance and review results : 1 September, 2010
Revised submission deadline: 1 November, 2010
Notification of acceptance: 1 December, 2010
Camera-ready version deadline: 1 January, 2011
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