Simulation and Managerial Decision Making:A Double-Loop Learning Framework
成果类型:
Article
署名作者:
Kim, Hyunjung; MacDonald, Roderick H.; Andersen, David F.
署名单位:
California State University System; California State University Chico; State University of New York (SUNY) System; University at Albany, SUNY; State University of New York (SUNY) System; University at Albany, SUNY
刊物名称:
PUBLIC ADMINISTRATION REVIEW
ISSN/ISSBN:
0033-3352
DOI:
10.1111/j.1540-6210.2012.02656.x
发表日期:
2013
页码:
291-300
关键词:
team mental model
system dynamics
integrating modes
implementation
cognition
thinking
摘要:
Systems approaches present opportunities for public managers and policy makers to view policies and programs in a broader context. This article presents a framework to explain how simulation modeling promotes double-loop learning in management teams by building and exploring collective mental models as well as by enhancing accuracy of the mental models. The authors discuss the types of problems that may benefit from simulation modeling and illustrate how double-loop learning occurs in the process of dynamic hypothesis testing. Using a case from New York State's Division of Disability Determination, the article shows how simulation modeling built confidence in a management team's decision by providing the team with tools to share and examine multiple hypotheses about a declining trend in initial disability recipients in the state between 1998 and 2004.