EVOLUTION OF DATA ENVELOPMENT ANALYIS: LITERATURE REVIEW

Abstract

Data Envelopment Analysis (DEA) in the last few decades was one of the fastest growing approaches to solving management problems for multi-criteria evaluation of the effectiveness of homogeneous economic agents. In the last year alone, more than 1,800 new papers have been published in this field, in which hybrid, multi-stage, and network models of DEA are increasingly being developed. Therefore, the purpose of this review study is to analyze, systematize and identify general trends in the development of DEA models over the past 5 years (2017–2020), their practical applications, as well as the most vital problems in the development of the methodology.