Simulation and Managerial Decision Making:A Double-Loop Learning Framework.
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...
| Published in: | Public Administration Review Vol. 73; no. 2; pp. 291 - 292 |
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| Main Authors: | , , |
| Format: | Article |
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Wiley-Blackwell
Mar/Apr2013
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=85631089&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 85631089 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00333352 PBA jtl: Public Administration Review issn: 00333352 maglogo: Y pubinfo: dt: Mar/Apr2013 vid: 73 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 85631089 10.1111/j.1540-6210.2012.02656.x ppf: 291 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P size: 689KB tig: atl: Simulation and Managerial Decision Making:A Double-Loop Learning Framework. aug: au: Kim, Hyunjung MacDonald, Roderick H. Andersen, David F. affil: California State University, Chico University at Albany su: Organizational learning Public administration research Training of civil service System analysis Simulation methods & models Reflective learning sug: subj: Organizational learning Other General Government Support Public administration research Training of civil service System analysis Simulation methods & models Reflective learning ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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