governance;
control;
complexity;
agent based modelling and simulation (ABMS);
model of sociological explanation;
RATIONALITY;
MODEL;
D O I:
10.1080/00140139.2013.877598
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
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.
机构:
Department of Sociology, Social Sciences Building, Room 333, University of Montana, Missoula, 59812-5184, MTDepartment of Sociology, Social Sciences Building, Room 333, University of Montana, Missoula, 59812-5184, MT
Kuipers K.J.
Obernesser L.
论文数: 0引用数: 0
h-index: 0
机构:
Department of Sociology, Social Sciences Building, Room 333, University of Montana, Missoula, 59812-5184, MTDepartment of Sociology, Social Sciences Building, Room 333, University of Montana, Missoula, 59812-5184, MT