Internal benchmarking for efficiency evaluations using data envelopment analysis: a review of applications and directions for future research

Fabio Sartori Piran, Ana S. Camanho*, Maria Conceição Silva, Daniel Pacheco Lacerda

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Efficiency evaluations based on DEA are often associated with external benchmarking, usually requiring an expressive sample of comparable firms and access to sensitive information. However, some organizations present unique characteristics that make it challenging to find appropriate comparators. The literature often neglects the possibility of using DEA within an organization when comparable units are not available. In this context, internal benchmarking is a promising alternative that enables conducting relative efficiency assessments by introducing the time dimension in the assessment of a single firm. This chapter provides a literature review of internal longitudinal benchmarking assessments conducted with DEA. The applications in different sectors are explored, and the conditions under which the use of DEA for internal benchmarking is appropriate are analyzed. The main contributions and limitations of this approach are discussed.
Original languageEnglish
Title of host publicationAdvanced mathematical methods for economic efficiency analysis
EditorsPedro Macedo, Victor Moutinho, Mara Madaleno
PublisherSpringer Science and Business Media Deutschland GmbH
Pages143-162
Number of pages20
ISBN (Electronic)9783031295836
ISBN (Print)9783031295829
DOIs
Publication statusPublished - 2023

Publication series

NameLecture Notes in Economics and Mathematical Systems
Volume692
ISSN (Print)0075-8442
ISSN (Electronic)2196-9957

Keywords

  • Data envelopment analysis
  • Internal benchmark
  • Internal benchmarking
  • Longitudinal data
  • Time series

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