The impact of size and specialisation on universities’ department performance: A DEA analysis applied to Austrian universities |
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Authors: | Karl-Heinz Leitner Julia Prikoszovits Michaela Schaffhauser-Linzatti Rainer Stowasser and Karin Wagner |
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Institution: | (1) Department of Technology Policy, ARC Systems Research GmbH, A-1220 Vienna, Austria;(2) Austrian Rectors’ Conference, Austria;(3) Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Austria;(4) Office Austrian Science Board, Austria;(5) Economic Analysis Division, Austrian Central Bank, Austria |
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Abstract: | This paper explores the performance efficiency of natural and technical science departments at Austrian universities using
Data Envelopment Analysis (DEA). We present DEA as an alternative tool for benchmarking and ranking the assignment of decision-making
units (organisations and organisational units). The method applies a multiple input and output variables approach, which is
a clear advantage to other approaches using simple performance ratios. To deliver reasonable results, suitable input and output
variables have been determined in a previous step using correlation analyses and OLS regression. The results validate the
methods applied, and reveal performance differences and scale effects. The use of multiple output variables enables the revealing
of detailed improvement or reduction amounts of each input and output of the evaluated units and furthermore for identifying
the specialisation of teaching, research, and industrial cooperation. We find significant evidence that the size of a department
influences its overall and specialisation performance; both small and large departments perform above average, which proves
that simple linear scale effects do not exist. |
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Keywords: | Austria benchmarking Data Envelopment Analysis efficiency evaluation scale effects specialisation patterns Austria universities |
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