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Springer Effizienzmaße der Data Envelopment Analysis

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Description

Holger Scheel entwickelt eine allgemeine Vorgehensweise zur Vorbereitung von DEA-Effizienzmessungen und analysiert, an welchen Stellen subjektive Entscheidungen getroffen werden müssen, welche Auswirkungen diese haben und welche formalen Eigenschaften die einzelnen Effizienzmaße aufweisen. From the Back Cover Data Envelopment Analysis (DEA) ist eine Methode zur Effizienzmessung, mit der verschiedene Einheiten (z.B. Filialen einer Bank) anhand mehrerer monetärer und nichtmonetärer Kennzahlen beurteilt werden können. DEA liefert für jede einzelne Einheit eine aggregierte Spitzenkennzahl, den sogenannten Effizienzwert. Holger Scheel untersucht und vergleicht die verschiedenen Möglichkeiten, zu solchen Effizienzwerten zu kommen. Er entwickelt eine allgemeine Vorgehensweise zur Vorbereitung von DEA-Effizienzmessungen und analysiert, an welchen Stellen subjektive Entscheidungen getroffen werden müssen, welche Auswirkungen diese haben und welche formalen Eigenschaften die einzelnen Effizienzmaße aufweisen. Mögliche Auswertungen der DEA-Ergebnisse werden anhand eines konkreten Praxisfalls illustriert. About the Author Dr. Holger Scheel promovierte bei Prof. Dr. Peter Recht am Fachgebiet Operations Research und Wirtschaftsinformatik der Universität Dortmund. Heute ist er als Unternehmensberater tätig.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
30 August 2000
Listed Since
26 December 2012

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