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Data envelopment analysis: History, Products, Art & Measurement

Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications Additionally, DEA has been used to assess the…

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Data envelopment analysis topic overview

The analysis highlights History, Products, Art and Measurement as prominent areas in the source structure around Data envelopment analysis.

Related topics
26
Source areas
5
Connected nodes
31
Extracted relationships
104
Concept neighborhoods
17
Bridge connections
31

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Description · 9 topics
History · 9 topics
Overview · 5 topics
Techniques · 2 topics
Extensions · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Description

History

Techniques

Extensions

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Data envelopment analysis connects Entity context

The extracted context around Data envelopment analysis shows recurring relationship patterns in the source. For example, Data envelopment analysis → Abbasi, Abraham, Amin, An Application, Applications, April, Arie, Bank Branches, Banker, Brockhoff, Business Media, Charnes, Cook, Cooper, Data, Decision Making Units, Deng, Efficiency, Estimating, Estimating Technical Another extracted example is Data envelopment analysis → Chris, Combining, January, Journal, Measuring, Operational Research Society, Retrieved, S2CID, Shinn, Socio-Economic Planning Sciences, SSRN, Sun, Tofallis. Use these groups to spot repeated connection types before inspecting the individual relationships.

Data envelopment analysis

Top relations

related to References · 82
Data envelopment analysis → Abbasi, Abraham, Amin, An Application, Applications, April, Arie, Bank Branches, Banker, Brockhoff, Business Media, Charnes, Cook, Cooper, Data, Decision Making Units, Deng, Efficiency, Estimating, Estimating Technical
related to Further reading · 13
Data envelopment analysis → Chris, Combining, January, Journal, Measuring, Operational Research Society, Retrieved, S2CID, Shinn, Socio-Economic Planning Sciences, SSRN, Sun, Tofallis
related to External links · 1
Data envelopment analysis → Productivity Analysis
see also · 1
Data envelopment analysis → Network Data Envelopment Analysis

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data efficiency analysis doi envelopment 10 dea cooper inputs journal displaystyle research production charnes outputs 2022 dmus used s2cid productivity

Data envelopment analysis relationships Subject–Predicate–Object triples

TTTA extracted 104 structured relationships around Data envelopment analysis. Examples in this analysis include input → instance of → They range from adapting implicit model assumptions and Data envelopment analysis → related to External links → Productivity Analysis. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
inputinstance ofThey range from adapting implicit model assumptions0.80text
output orientationinstance ofThey range from adapting implicit model assumptions0.80text
distinguishing technicalinstance ofThey range from adapting implicit model assumptions0.80text
allocative efficiencyinstance ofThey range from adapting implicit model assumptions0.80text
adding limited disposability of inputs/outputs or varying returns-to-scale to techniques that utilize DEA resultsinstance ofThey range from adapting implicit model assumptions0.80text
extend them for more sophisticated analysesinstance ofThey range from adapting implicit model assumptions0.80text
such as stochastic DEA or cross-efficiency analysisinstance ofThey range from adapting implicit model assumptions0.80text
Data envelopment analysisrelated to External linksProductivity Analysis0.60section
Data envelopment analysisrelated to Further readingSun0.60section
Data envelopment analysisrelated to Further readingShinn0.60section
Data envelopment analysisrelated to Further readingMeasuring0.60section
Data envelopment analysisrelated to Further readingSocio-Economic Planning Sciences0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Data envelopment analysis bring nearby vocabulary together. In this analysis, examples include Envelopment, Analysis and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Data envelopment analysis
    • Envelopment
    • Analysis
    • Data
    • Models
    • Using
    • Applications
    • Wager
    • Charnes
    • Measurement
    • William
    • Production
    • Cooper
  • data envelopment analysis
    • Envelopment
    • Analysis
    • Data
    • Models
    • Using
    • Applications
    • Wager
    • Charnes
    • William
    • Measurement
    • Cooper
    • Production
  • data
    • Envelopment
    • Analysis
    • Models
    • Using
    • Applications
    • Wager
    • Charnes
    • Measurement
    • William
    • Production
    • Cooper
    • Efficiency
  • stochastic frontier analysis
    • Envelopment
    • Data
    • Production
    • Number
    • Used
    • Models
    • Applications
    • Rhodes
    • Wager
    • Charnes
    • Using
    • William
  • productive efficiency
    • Inputs
    • Measurement
    • Outputs
    • Displaystyle
    • Rhodes
    • Cross-efficiency
    • Weights
    • Charnes
    • Productivity
    • Using
    • Dmus
    • Cooper
  • efficiency ratios
    • Inputs
    • Measurement
    • Outputs
    • Displaystyle
    • Rhodes
    • Cross-efficiency
    • Weights
    • Charnes
    • Productivity
    • Using
    • Dmus
    • Cooper
  • allocative efficiency
    • Inputs
    • Measurement
    • Outputs
    • Displaystyle
    • Rhodes
    • Cross-efficiency
    • Weights
    • Charnes
    • Productivity
    • Using
    • Dmus
    • Cooper
  • efficiency
    • Inputs
    • Measurement
    • Outputs
    • Displaystyle
    • Rhodes
    • Cross-efficiency
    • Weights
    • Charnes
    • Productivity
    • Using
    • Dmus
    • Cooper

Connections between topic areas Semantic bridges

For Data envelopment analysis, one of the stronger structural bridges in this analysis connects Data envelopment analysis with Description. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Data envelopment analysis — Description · splits 22 ⟂ 10
Data envelopment analysis — History · splits 22 ⟂ 10
Data envelopment analysis — Overview · splits 26 ⟂ 6
Data envelopment analysis — Techniques · splits 29 ⟂ 3

Map overview Semantic statistics

Data envelopment analysis

Nodes32
Edges31
Triples104
Avg. degree1.94
Density0.0625
Components1

Source & methodology

TTTA analyzes the structure around Data envelopment analysis to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Data envelopment analysis · EN edition · Analysis: TopicsToTalkAbout

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