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A review of Dynamic Data Envelopment Analysis: state of the art and applications
Author(s) -
Mariz Fernanda B.A.R.,
Almeida Mariana R.,
Aloise Daniel
Publication year - 2018
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/itor.12468
Subject(s) - scopus , categorization , scope (computer science) , structuring , data science , computer science , identification (biology) , data envelopment analysis , state of art , state (computer science) , operations research , business , artificial intelligence , political science , engineering , mathematics , statistics , algorithm , botany , medline , finance , law , biology , programming language
This article reports the evolution of the literature on Dynamic Data Envelopment Analysis (DDEA) models from 1996 to 2016. Systematic searches in the databases Scopus and Web of Science were performed to outline the state of the art. The results enabled the establishment of DDEA studies as the scope of this article, analyzing the transition elements to represent temporal interdependence. The categorization of these studies enabled the mapping of the evolution of the DDEA literature and identification of the relationships between models. The three most widely adopted studies to conduct DDEA research were classified as structuring models. Mapping elucidated the literature behavior through three phases and showed an increase in publications with applications in recent years. The analysis of applications indicated that most studies address evaluations in the agriculture and farming, banking and energy sectors and consider the facilities as transition elements between analysis periods.