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What is Data Envelopment Analysis (DEA)

Chapter 11
Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis
A non-parametric analytical method for benchmarking a group of entities.
Published in Chapter:
Benchmarking Competitiveness of Top 100 U.S. Universities
Gürdal Ertek (Sabancı University, Turkey), Bengi Tokdil (Sabancı University, Turkey), İbrahim Günaydın (Sabancı University, Turkey), and Aytaç Göğüş (Sabancı University, Turkey)
Copyright: © 2014 |Pages: 19
DOI: 10.4018/978-1-4666-4474-8.ch011
Abstract
This chapter presents a comprehensive benchmarking study of the top 100 U.S. universities. The methodologies used to come up with insights into the domain are Data Envelopment Analysis (DEA) and information visualization. Various approaches to evaluating academic institutions have appeared in the literature, including a DEA literature dealing with the ranking of universities. This study contributes to this literature by the extensive incorporation of information visualization and subsequently the discovery of new insights. The main purpose of the study is to create an objective basis of assessment for the candidate students to use for university preferences. Meanwhile, the actionable insights obtained for the domain can guide university managers, as well as candidate students.
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Chapter 99
Global Optimization of Economic and Social Policy
Mathematical programming method tracing the convex hull (the envelope) of a scatter of observations, invented by Charnes, Cooper, Rhodes in 1978.
Published in Chapter: Global Optimization of Economic and Social Policy; From: Encyclopedia of Business Analytics and Optimization
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Chapter 14
Impact of Mergers and Acquisitions on Shareholder Wealth in Indian Banks: A Data Envelopment Analysis Approach
A method used to assess the efficiency and productivity of decision-making units, like banks, by comparing various input and output factors.
Published in Chapter: Impact of Mergers and Acquisitions on Shareholder Wealth in Indian Banks: A Data Envelopment Analysis Approach; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 3
Productivity Profiles of Islamic Banks Using Data Envelopment Analysis-Based Malmquist Productivity Indices (MPIs): Survey, Classification, and Critical Analysis
A nonparametric method in operations research used for efficiency measurement. It evaluates the performance of decision-making units (such as banks) by comparing their input and output data.
Published in Chapter: Productivity Profiles of Islamic Banks Using Data Envelopment Analysis-Based Malmquist Productivity Indices (MPIs): Survey, Classification, and Critical Analysis; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 204
Stochastic Frontier Analysis and Cancer Survivability
Data Envelopment Analysis is a novel decision making tool based on the principle of linear programming to compare the relative operational efficiency of a set of comparable decision making units even with multiple inputs and outputs. DEA was initially developed by Charnes, Cooper, Rhodes (1978) . The DEA provides an efficiency score with common weights of the inputs or outputs.
Published in Chapter: Stochastic Frontier Analysis and Cancer Survivability; From: Encyclopedia of Business Analytics and Optimization
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Chapter 8
Data Envelopment Analysis for Improving the Microgrid Operations
A mathematical technique for assessing the relative efficiency of multiple decision-making units (DMUs) by comparing their input and output performance. The best performing DMUs can be identified and a benchmark for inefficient units is set to improve their performance.
Published in Chapter: Data Envelopment Analysis for Improving the Microgrid Operations; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 11
Data Envelopment Analysis in Healthcare Management: Overview of the Latest Trends
A non-parametric method used to assess the relative efficiency of decision-making units (DMUs), such as hospitals or healthcare systems, by comparing the ratio of inputs to outputs.
Published in Chapter: Data Envelopment Analysis in Healthcare Management: Overview of the Latest Trends; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 138
Measuring Relative Efficiency and Effectiveness
A series of models that measure relative efficiency.
Published in Chapter: Measuring Relative Efficiency and Effectiveness; From: Encyclopedia of Business Analytics and Optimization
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Chapter 12
Analytics for Nonprofits
An OR research method that measures the cross-efficiencies of multiple units in a system.
Published in Chapter: Analytics for Nonprofits; From: Encyclopedia of Business Analytics and Optimization
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Chapter 6
Data Envelopment Analysis-Based Approach for Maximizing Energy Efficiency in Ad Hoc Networks
A performance measurement technique used to evaluate the efficiency of decision-making units (DMUs), such as nodes in a network. It involves comparing the ratios of inputs (like energy) to outputs (like data transferred).
Published in Chapter: Data Envelopment Analysis-Based Approach for Maximizing Energy Efficiency in Ad Hoc Networks; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 1
A Cognitive Analytics Management Framework (CAM-Part 1): SAMAS Components, Leadership, Frontier Performance Growth, and Sustainable Shared Value
A mathematical approach to evaluate a set of decision making units (set of strategies, options, organizations, products, people, etc) which use multiple inputs to produce multiple outputs. DEA evaluates each option in its best merit relative to others of prioritizations of units, to allocate resources, identify best practices for continuous improvement.
Published in Chapter: A Cognitive Analytics Management Framework (CAM-Part 1): SAMAS Components, Leadership, Frontier Performance Growth, and Sustainable Shared Value; From: Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis
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Chapter 79
Performance Measurement: From DEA to MOLP
DEA is a non-parametric approach to efficiency measurement.
Published in Chapter: Performance Measurement: From DEA to MOLP; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 17
Measuring Performance of Dynamic and Network Structures by SBM Model
Data envelopment analysis is a powerful instrument to measure the relative efficiency of decision making unites (DMU) which consume several inputs to produce several outputs.
Published in Chapter: Measuring Performance of Dynamic and Network Structures by SBM Model; From: Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis
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Chapter 9
Advancing Supply Chain Efficiency and Sustainability: A Comprehensive Review of Data Envelopment Analysis Applications
A non-parametric method used to evaluate the efficiency of different decision-making units, such as organizations or businesses, by comparing multiple inputs and outputs.
Published in Chapter: Advancing Supply Chain Efficiency and Sustainability: A Comprehensive Review of Data Envelopment Analysis Applications; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 177
Radial Efficiency Measures in Data Envelopment Analysis
DEA is a set of mathematical programming techniques for assessing the relative efficiency of DMUs (decision making units) that transform multiple inputs into multiple outputs.
Published in Chapter: Radial Efficiency Measures in Data Envelopment Analysis; From: Encyclopedia of Business Analytics and Optimization
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Chapter 15
The Relation between Contingency Factors and the Efficiency of NPOs
Linear programming based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparisons difficult.
Published in Chapter: The Relation between Contingency Factors and the Efficiency of NPOs; From: Handbook of Research on Managerial Solutions in Non-Profit Organizations
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Chapter 8
Efficiency Assessment of University-Industry Collaboration
An empirical tool to measure and compare efficiency of different agents using similar input and producing similar output.
Published in Chapter: Efficiency Assessment of University-Industry Collaboration; From: University-Industry Collaboration Strategies in the Digital Era
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Chapter 10
Efficiency Assessment and Optimization in Renewable Energy Systems Using Data Envelopment Analysis
DEA is a quantitative method used for evaluating the relative efficiency and performance of decision-making units, such as organizations, processes, or systems. It assesses how well these units convert multiple inputs into outputs and identifies areas for improvement by comparing them to efficient peers or benchmarks. DEA is particularly useful for optimizing resource allocation and enhancing efficiency in various sectors, including finance, healthcare, and renewable energy.
Published in Chapter: Efficiency Assessment and Optimization in Renewable Energy Systems Using Data Envelopment Analysis; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 16
A New Framework for Industrial Benchmarking
A non-parametric analytical method for benchmarking a group of entities.
Published in Chapter: A New Framework for Industrial Benchmarking; From: Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis
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Chapter 24
Behavioral Performance Evaluation
Optimization-based approach to calculate the relative efficiency of n homogeneous DMUs on the basis of m weighted inputs and s weighted outputs.
Published in Chapter: Behavioral Performance Evaluation; From: Encyclopedia of Business Analytics and Optimization
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Chapter 2
Data Envelopment Analysis Advantages and Problems Demonstrated in a University Comparison Study
A nonparametric method in operations research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision-making units (or DMUs).
Published in Chapter: Data Envelopment Analysis Advantages and Problems Demonstrated in a University Comparison Study; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 6
Relative Efficiency of Universities Using Data Envelopment Analysis: Theory and Implications for the Arab Countries
A linear programming technique that identifies the apparent best providers of services by their ability to produce the highest levels of services (outputs) with a given set of inputs, or to produce a given set of services with the least amount of inputs. This approach combines all outputs and inputs into a comprehensive measure of overall efficiency.
Published in Chapter: Relative Efficiency of Universities Using Data Envelopment Analysis: Theory and Implications for the Arab Countries; From: Global Approaches to Sustainability Through Learning and Education
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Chapter 164
Performance Evaluation of Mobile Phone Producers
A non-parametric linear programming based approach for identifying relative efficiency of decision making units that are producing multiple outputs using multiple inputs.
Published in Chapter: Performance Evaluation of Mobile Phone Producers; From: Encyclopedia of Business Analytics and Optimization
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Chapter 7
Efficiency Benchmarking Through Data Envelopment Analysis: Evaluating Disruptive Technologies in India's Key Sectors
A non-parametric method in operations research and economics for measuring the efficiency of decision-making units (DMUs) through input and output comparison.
Published in Chapter: Efficiency Benchmarking Through Data Envelopment Analysis: Evaluating Disruptive Technologies in India's Key Sectors; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
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Chapter 10
An Overview of Tourism Supply Chains Management and Optimization Models (TSCM – OM)
A model and method used to evaluate the relative efficiency or performance or an entity among a set of entities called decision making units (DMUs), which performance cannot be evaluated by a single measurement such as profit; instead of that it uses multiple inputs (resources) and multiple outputs (outcomes), by solving linear programming problems for each decision making unit (DMU) according to the observed data.
Published in Chapter: An Overview of Tourism Supply Chains Management and Optimization Models (TSCM – OM); From: Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry
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Chapter 12
Exploring Productivity by Evaluating ISP Efficiency in Nigeria's Telecommunications Sector
A performance measurement method used to evaluate the efficiency of organizations or decision-making units, such as ISPs, by comparing multiple inputs and outputs.
Published in Chapter: Exploring Productivity by Evaluating ISP Efficiency in Nigeria's Telecommunications Sector; From: Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
Full Text Chapter Download: US $37.50 Add to Cart
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