Business Network Simulation: Combining Research Cases and Agent-Based Models in a Robust Methodology

Frans Prenkert

Abstract


This paper describes the use of an agent-based model (ABM) with the purpose of simulating interaction processes in business networks. Such an ABM must be able to capture time and process in networks while retaining a level of comprehension and overview. The ABM rests on the assumption that business networks can be viewed as complex adaptive systems (CAS) and draws on the opportunities to build and use ABMs to simulate processes in such systems. This paper outlines the conceptual foundations and the methodological challenges and opportunities associated with such an endeavor with special reference to issues concerning the modeling of the complexities of business networks. Specifically it discusses the use of ABM and research case in combination in an effort to produce a robust methodology. It contributes with suggestions on how one concretely can handle these issues and challenges when using ABMs to model non-linear dynamic interaction processes in networks.

Full Text: PDF DOI: 10.5430/ijba.v3n6p82

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

International Journal of Business Administration
ISSN 1923-4007(Print) ISSN 1923-4015(Online)

 

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