Governance of complex systems: results of a sociological simulation experiment

Authored by Fabian Adelt, Johannes Weyer, Robin D. Fink

Date Published: 2014-03-04

DOI: 10.1080/00140139.2013.877598

Sponsors: No sponsors listed

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Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

Social sciences have discussed the governance of complex systems for a long time. The following paper tackles the issue by means of experimental sociology, in order to investigate the performance of different modes of governance empirically. The simulation framework developed is based on Esser's model of sociological explanation as well as on Kroneberg's model of frame selection. The performance of governance has been measured by means of three macro and two micro indicators. Surprisingly, central control mostly performs better than decentralised coordination. However, results not only depend on the mode of governance, but there is also a relation between performance and the composition of actor populations, which has yet not been investigated sufficiently.Practitioner Summary: Practitioners can gain insights into the functioning of complex systems and learn how to better manage them. Additionally, they are provided with indicators to measure the performance of complex systems.

Tags

Complexity Control agent based modelling and simulation (ABMS) governance model of sociological explanation