This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment Analysis (DEA). The book has twelve practical chapters. Elementary concepts and definitions are gradually built in Chapters 1-6 based upon four examples of one...

Chapter 1. Data Envelopment Analysis and Big Data: A Systematic Literature Review with Bibliometric Analysis -- Chapter 2. Acceleration of large-scale DEA computations using random forest classification -- Chapter 3. The estimation of productive efficiency through machine learning techniques:...

Productivity assessment has received increased attention over the past several years. At the same time, the focus has moved from single-factor productivity measures, or attempts to characterize performance in terms of simple ratios, to a multi-factor construct. In this dissertation, I propose a...