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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.
Notes
1. Our hypotheses are developed at the end of Section 3.1.
2. The model of Stanton, Walker, and Sorensen (Citation2012) might be helpful in further improving and refining this typology.
3. The birth name of Fabian Adelt is Lücke.
4. Since Mix0 is a rather hypothetical scenario, it will only serve as a reference, which will not be commented in detail.
5. This points to issues of training and ‘educating’ drivers, which cannot be discussed here in detail (cf. Stanton et al. Citation2007).
6. The variable ‘mixture of drivers’ is not suited for correlation analysis because it is not an ordinal variable. As can be seen in Figure , there are also correlations between dependent variables, which cannot be discussed here in detail. In order not to confuse the figure, we confined the presentation to the four macro indicators and omitted values below 0.500.