Im Rahmen der DEA führt die Notwendigkeit zur Auswahl und Interpretation der zu be-rücksichtigenden Inputs und Outputs zu einer Reihe von Problemen, für deren Bewältigung bislang kein allgemein akzeptiertes Lösungskonzept existiert.Um ein solches Konzept abzuleiten, ist das theoretische...

In basic Data Envelopment Analysis (DEA) models, the weights of performance criteria are endogenously determined, assigning to each decision-making unit (DMU) its best possible efficiency score. This property is widely considered to be a major strength of the method, but it is also a source of...

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...

The question of modern performance evaluation has been extensively discussed in the literature, leading to a call for models including non-optimizing behaviors of decision makers and non-financial performance criteria. A promising management instrument is data envelopment analysis (DEA), which...