Methodology of Dea-Based Performance Analysis: Foundations and the Example of Research Performance
Technical University of Braunschweig (TU Branschweig) - Institute for Economics and Business Administration
Chair of Business Theory; RWTH Aachen University
August 24, 2011
A series of well-known problems of data envelopment analysis (DEA) result from the circumstance that inputs and outputs are used as performance factors. Especially, it is still unclear how to handle undesirable input and output factors as well as dual-role factors. As will be shown, such problems can be systematically solved by a generalized DEA (GDEA) approach. This approach distinguishes between inputs and outputs on the one hand and their impact on the relevant objectives on the other. As efforts to be minimized or as benefits to be maximized, these objectives provide the framework for deriving GDEA models. This paper describes the approach and illustrates its potential to improve DEA-based performance measurement by discussing the example of research efficiency. The need for broader methodical support becomes apparent in order to enhance the use of (G)DEA in practice.
Number of Pages in PDF File: 21
Keywords: data envelopment analysis, generalized DEA (GDEA), performance analysis, input and out-put determination, efforts and benefits, research performance
JEL Classification: C81working papers series
Date posted: January 26, 2012
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