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Simulation and Managerial Decision Making

A Double‐Loop Learning Framework

Dados Bibliográficos

ID10397281
AutoresHyunjung Kim (0000-0002-2518-8519, California State University, Chico), Hyun-Jung Kim (0000-0002-5247-1395, California State University, Chico), Roderick Macdonald (0000-0002-0276-6558, University at Albany, State University of New York), Roderick H MacDonald (University at Albany, State University of New York), David F Andersen (University at Albany, State University of New York)
Ano2013
Volume73
Fascículo2
Páginas291-300
Data de publicação2013-02-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoPublic Administration Review (JOURNAL)
Identificadores do periódicoISSN: 0033-3352 • E-ISSN: 1540-6210
EditoraWiley (PUBLISHER • GB)
DOI10.1111/j.1540-6210.2012.02656.x
OpenAlexW1994177499
IdiomaEN
Citações recebidas10
Referências citadas52

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

Business · Context (archaeology · Double loop · Knowledge management · Management science · Process (computing · Process management · System dynamics · Artificial Intelligence · Complex Systems and Decision Making · Computer Science · Construction Project Management and Performance · Engineering · Evaluation and Performance Assessment

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Obras citantes distintas10
Citações por ano0,83
Intervalo de citações2014 - 2026 (13)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 10
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