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 study presents an overview of data science, exploring the role of data scientists and the methods they employ to investigate analytical problems within business administration. It discusses the responsibilities of data scientists, emphasizing their multidisciplinary nature and the...