The measurement of universities' efficiency is gaining importance due to the increasing competitive pressure. As the results of such a measurement depend especially on the included input and output factors, it is essential to select them carefully to generate valid results. Against this...

The family of optimization models of Data Envelopment Analysis (DEA) has been shown to be very useful performance analytics tools that support benchmarking systems in measuring, comparing, and enhancing various notations of efficiency. It has also been extensively used as an advanced analytical...

Benchmarking, in many cases by means of Data Envelopment Analysis, is one of the main strategies of regulatory agencies to control the costs of monopolistic companies. In such cases, the determination of inputs and outputs as performance criteria is often an issue. Against this background, we...

This paper investigates the potential expansion of an indicator set for research performance evaluation to include citations for the mapping of research impact. To this end, we use research performance data of German business schools and consider the linear correlations and the rank correlations...

After 40 years of research with thousands of application-oriented scientific papers, empirical evidence that data envelopment analysis (DEA) has really improved the practice of performance measurement and benchmarking in real-life non-production contexts is rare. The main reason for this deficit...

This paper investigates the potential expansion of an indicator set for research performance evaluation to include citations for the mapping of research impact. To this end, we use research performance data of German business schools and consider the linear correlations and the rank correlations...

After 40 years of research with thousands of application-oriented scientific papers, empirical evidence that data envelopment analysis (DEA) has really improved the practice of performance measurement and benchmarking in real-life non-production contexts is rare. The main reason for this deficit...