Formal Methods in Policy Formulation: The Application of Bayesian Decision Analysis to the Screening, Structuring, Optimisation and Implementation of Policies within Complex Organisations
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Bibliographische Detailangaben
Weitere Verfasser: Bunn, Derek W. (HerausgeberIn), Thomas, Howard (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:German
Veröffentlicht: Basel Birkhäuser Basel 1978
Schriftenreihe:Interdisciplinary Systems Research / Interdisziplinäre Systemforschung
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Beschreibung:This collection of papers owes its origin to a recent conference on the topic of decision analysis organised by the Royal Economlc Society, during the period when one of us {H.T.} served as Programme Secretary for the Society. The papers included here were selected especially for the contribution they made to the implementation of decision analytic methods in the field of policy formulation. These selected conference papers have furthermore been supplemented by several invited contributions in order to provide a more complete exposition of the overall theme. Thus, the volume now contais a set of original papers which we believe contribute significantly to the most important aspects of this topic. The work is grouped into two parts. Part I contains a critique of analytical methods in policy formulation and defines the essential characteristics of the policy process. Although we advocate the decision analysis approach insofar as it provides what we consfder to be the most acceptable paradigm for rational action, we do so only on the balance of its merits, based upon our personal experience of consulting work in the Decision Analysis Unit at the London Business School. The papers included in this first part represent, therefore, a dispassionate evaluation of the place of analytical methods in the effective formulation of policy. Part 2 looks at some of the more important aspects in the implementation of the decision analysis approach
Beschreibung:1 Online-Ressource (XI, 241 S.)
ISBN:9783034852883
9783764309718
DOI:10.1007/978-3-0348-5288-3

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