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Modeling Operational Decision Making in Public Organizations: An Integration of Two Institutional Theories

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dc.contributor.author Heikkila, Tanya en_US
dc.contributor.author Isset, Kimberley R. en_US
dc.date.accessioned 2009-07-31T14:58:47Z
dc.date.available 2009-07-31T14:58:47Z
dc.date.issued 2004 en_US
dc.date.submitted 2009-02-23 en_US
dc.date.submitted 2009-02-23 en_US
dc.identifier.uri https://hdl.handle.net/10535/3235
dc.description.abstract "Institutional theories, which explain how rules, norms, and shared strategies shape human behavior, have been used to examine why public and private organizations look different structurally, why actors decide to coordinate the provision of goods and services, or how characteristics of a political system shape public management strategies. Many institutional scholars have recognized the importance of developing accurate institutional theories and models to explain policy and management decision making, yet the authors find that few scholars have attempted to bridge institutional theories coming from the political science and organization theory disciplines. In this article, they present a model of operational decision making in public organizations that integrates concepts from these two institutional schools of thought. The authors then apply this model to two distinct cases--one in the field of water resource management and the other in the field of mental health provision--to demonstrate the usefulness of this integrated approach to institutional analysis." en_US
dc.subject institutional analysis--IAD framework en_US
dc.subject rules en_US
dc.subject norms en_US
dc.subject decision making--theory en_US
dc.subject Workshop en_US
dc.title Modeling Operational Decision Making in Public Organizations: An Integration of Two Institutional Theories en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.subject.sector Theory en_US
dc.subject.sector Water Resource & Irrigation en_US
dc.identifier.citationjournal American Review of Public Administration en_US
dc.identifier.citationvolume 34 en_US
dc.identifier.citationnumber 1 en_US
dc.identifier.citationmonth March en_US


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