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Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)

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  • Harald Dyckhoff

    (RWTH Aachen)

  • Katrin Allen

    (RWTH Aachen)

Abstract

Summary Data Envelopment Analysis (DEA) is a collection of models measuring the relative efficiency of Decision Making Units with linear programming techniques. This paper examines the foundations of DEA in the theory of production and in Multiple Criteria Decision Making to point out its possibilities and limitations. Activity analysis is chosen as the theoretical frame to describe the problem and to derive a basic DEA model. The systematic approach and the consideration of MCDMknowledge lead to a sharper identification of the general DEA-axioms and the characteristics of basic DEA models. Finally, a constructive criticism provides useful hints for extensions and generalizations of DEA.

Suggested Citation

  • Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    • Handle: RePEc:spr:sjobre:v:51:y:1999:i:5:d:10.1007_bf03371573
    DOI: 10.1007/BF03371573
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    References listed on IDEAS

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    Cited by:

    1. Harald Dyckhoff & Sylvia Rassenhövel & Kirsten Sandfort, 2009. "Empirische Produktionsfunktion betriebswirtschaftlicher Forschung: Eine Analyse der Daten des Centrums für Hochschulentwicklung," Schmalenbach Journal of Business Research, Springer, vol. 61(1), pages 22-56, February.
    2. Thomas Ehrmann & Julian Dormann, 2008. "Inter-Organisationale Ausgestaltung der Entscheidungszentralisierung und produktive Effizienz: Eine empirische Analyse am Beispiel des Franchising," Schmalenbach Journal of Business Research, Springer, vol. 60(4), pages 326-354, June.

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