This study introduces new methodological developments of Data Envelopment Analysis (DEA) that satisfy the demands of business practice and provide a multidimensional point of view on the evaluation of organizational performance. The author extends the focus of performance evaluation based on...

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...

Purpose The determination of input and output factors is a well-known source of pitfalls when applying data envelopment analysis (DEA). The purpose of this paper is to contribute to overcome the respective problems of input/output factor determination related to factor selection, dual-role...