Advances in the Theory and Applications of Performance Measurement and Management

Name: Advances in the Theory and Applications of Performance Measurement and Management | Proceedings of DEA45-International Conference on Data Envelopment Analysis
Brand: Springer
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Proceedings of DEA45-International Conference on Data Envelopment Analysis

Ali Emrouznejad Emmanuel Thanassoulis Mehdi Toloo(Editor)

Springer (Publisher)

1st Edition

Published on 2. September 2024

IX, 325 pages

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978-3-031-61597-9 (ISBN)

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Ali Emrouznejad is a Professor and Chair in Business Analytics at Surrey Business School, University of Surrey, UK. His research interests include performance measurement and management, efficiency, productivity analysis, data mining, and big data. He holds an MSc in applied mathematics and earned his Ph.D. in operational research and systems from Warwick Business School, Warwick University, UK. Professor Emrouznejad is actively involved with various academic journals as an editor or editorial board member. He has co-developed DEA Software, and has authored over 200 research articles, and published several books, see ww.Emrouznejad.com.

Emmanuel Thanassoulis is Professor Emeritus in Management Sciences at Aston University, Birmingham, UK and Oxera Associate, www.oxera.com. He is a world authority on the key method of Data Envelopment Analysis (DEA) and its use within the field of efficiency and productivity measurement. He has published numerous papers on DEA in top rated academic journals, has authored Introduction to the Theory and Application of Data Envelopment Analysis: A foundation text with integrated software (Springer), and co-authored ' DEA - The Mathematical Programming Approach to Efficiency Analysis ', in The Measurement of Productive Efficiency and Productivity Growth (Oxford University Press). He has served on the Editorial Boards of the European Journal of Operational Research and the Journal of Productivity Analysis, top rated journals for learned publications in the field of efficiency and productivity analysis. He has co-developed DEA Software and has offered advice on efficiency measurement to a variety of UK Government Departments and organisations including the Home Office, the Department for Education and Skills and the Audit Commission .

Mehdi Toloo is an Associate Professor in Business Analytics at Surrey Business School, UK. He also holds a Full Professor position in Systems Engineering and Informatics at the Technical University of Ostrava, Czech Republic. Dr. Toloo acts as an area editor for Computers & Industrial Engineering, and he is a member of the editorial board or associate editor to several other journals. He has contributed to numerous international conferences as a chair, keynote speaker, presenter, track/session chair, workshop organizer, and member of the scientific committee.

Content

Intro
Preface
Contents
Remembering Jon A. Chilingerian
1 Jon A. Chilingerian, 1951-2023
2 Other Voices
2.1 Dr. Stuart Altman, Brandeis University
2.2 Dr. Joe Zhu, Worcester Polytechnic Institute
2.3 Dr. Stephen Chick, INSEAD
2.4 Dr. Regina Herzlinger, Harvard University
2.5 Dr. H. David Sherman, Northeastern University
3 In Conclusion
References
Inference in Dynamic, Nonparametric Models of Production for General Technologies
1 Introduction
1.1 Basic Notation
2 Nonparametric Estimators
2.1 A Data Generating Process (DGP)
2.2 Popular Envelopment Estimators
2.3 Cone Spanned by upper Psi
2.4 Efficiency Estimators
2.5 Statistical Properties
3 Dynamic Settings
3.1 Malmquist Productivity Indices
3.2 Sources of Productivity Changes
3.3 Nonparametric Estimation
3.4 Inference for Geometric Means
4 Malmquist Indices in Action
References
Can Super-Efficiencies Improve Bias Correction? A Bayesian Data Envelopment Analysis Approach
1 Introduction
2 Methodology
2.1 Super-Efficiency DEA
2.2 Conventional Statistical Inference
2.3 Bayesian Statistical Inference
2.4 Bias Correction
3 Data Set and Selection of Variables
4 Empirical Results
5 Concluding Remarks and Future Research
References
Efficiency and Productivity of Italian Theatrical Firms. A Non-parametric Approach
1 Introduction
2 Background
3 Methods and Empirical Approach
3.1 FDH Versus DEA
3.2 Double-Bootstrap DEA Algorithm
3.3 Malmquist TFP Index
4 Data Set and Variables
5 Findings
5.1 TE and SE Scores
5.2 Estimates of Efficiency Determinants
5.3 Total Factor Productivity
6 Conclusions
References
DEA with Bootstrap, Weight Restrictions and Negative Outputs: Shortcomings of the Proposal for the Brazilian Distribution System Operators Regulation
1 Introduction
2 The Actual Regulatory DSO Benchmarking Proposal
2.1 Basic Setting
2.2 Definition of Weight Restrictions Using Bootstrap
2.3 Treatment of Electricity Service Quality Using Negative Outputs
2.4 Outline of the Proposed Steps for Computing the DSOs' Efficiency Scores
3 Analysis of the Regulatory DSO Benchmarking Proposal
3.1 Loss of Peer Benchmarking
3.2 Analysis of the Use and Estimation of Weight Restrictions
3.3 Regulatory Signal Using the Negative Outputs CHI and PNT
4 Conclusion
References
Empirical Estimation of the Production Frontier
1 Introduction
2 Methodology
2.1 Estimating the Frontier with Consideration for Random Inefficiencies
2.2 Estimating the Frontier with Consideration for Random Noise
3 Conclusion
References
Towards Gaining Robustness in Inverse Data Envelopment Analysis Models
1 Introduction
1.1 Deterministic IDEA Models
1.2 Imprecise DEA and IDEA Models
1.3 Research Aims and Contributions
2 Basic Models and Motivation
2.1 Basic DEA Models
2.2 Basic IDEA Models
2.3 Existing Robust DEA Models
3 Proposed Robust DEA and Robust IDEA Models
3.1 Proposed Robust IDEA
4 Conclusion
References
A Selecting Data Envelopment Analysis Approach Under an Onion Framework to Select Quality Service Criteria and Evaluate the Perception of Airport Concessionaires' Users About Brazilian Airports
1 Introduction
2 Literature Review
2.1 Selecting DEA Model
2.2 Brazilian Airports and DEA
3 Methodology and Procedures
4 Results
5 Final Remarks
References
Applying Path-Based Models to Negative Data with a Focus on Super-Efficiency
1 Introduction
2 Preliminaries
3 Super-Efficiency for the Path-Based Models
4 Analysing the Super-Efficiency for Models with Different Direction Vectors
5 Illustrative Numerical Examples
6 Conclusion
References
Fuzzy Utility Mining on DEA
1 Introduction
1.1 Importance of Study
1.2 The History of Using Fuzzy Data in DEA
2 Article Technique
3 Practical Example
4 Discussion
Bibliography
A Generalized DEA Approach to Performance Assessment: Case Study of Northern Adriatic Ports
1 Introduction
2 Literature Review
3 Research Methodology
3.1 SBM Model for Measuring Efficiencies
3.2 Generalized SBM Model with Uncertain Data
4 Empirical Study
4.1 Inputs and Outputs Selection
4.2 Efficiency Scores
5 Discussion and Conclusion
References
Development of Intuitionistic Fuzzy Revenue Efficiency Models in DEA: An Application to the Indian Public Sector Banks
1 Introduction
2 Preliminaries
3 Revenue Efficiency (RE)
4 Proposed Intuitionistic Fuzzy Revenue Efficiency Model (IFREM)
5 Methodology for Solving Proposed IFREM
5.1 Model Based on alphaa-Cut
5.2 Model Based on betaß-Cut
6 Application to the Indian Banking Sector
7 Conclusion
References
Environmental Performance of Coal-Based Thermal Generation Plants: A Two-Stage DEA Model with Undesirable Outputs
1 Introduction
2 Performance Analysis of Thermal Power Plants: A Literature Review
3 Methodology and Model Description
4 Selection of Output and Input Indicators for Thermal Power Plants
5 Factors Affecting Thermal Efficiency: Results and Discussions
6 Conclusions and Scope for Further Research
References
Does Income Diversification Affect Bank Efficiency, Effectiveness and Performance? Evidence from Indian Banking Industry
1 Introduction
2 Literature Review
2.1 Bank Performance and Diversification
2.2 Bank Efficiency and Diversification
3 Data and Methodology
3.1 Data
3.2 Methodology for Computing Bank Performance, Efficiency, and Effectiveness Score
3.3 Results and Inferences
4 Conclusion and Limitations
References
Health Efficiency Measurement of Turkish Provinces Using DEA, TOPSIS and EDAS Methods
1 Introduction
2 Methodology
2.1 Data Envelopment Analysis
3 Models and Data
3.1 Models
3.2 Data and Correlation
4 Results
4.1 Results of DEA
4.2 Results of TOPSIS
4.3 Results of EDAS
4.4 Results of Tobit Analysis
4.5 Discussion
5 Conclusion
References
Performance Evaluation of University Faculty Members Using DEA Models with Categorical Variables
1 Introduction
2 Data Collection
3 DEA Models Applied for PA
4 Analysis of the Results
4.1 Categorical Problem
4.2 Effect of Weight Restrictions
5 Conclusions
References
Regional Surgical Systems Response to COVID-19 Pandemic-Preliminary Insights Through Longitudinal DEA
1 Introduction
2 Data and Methodology
2.1 Study Design
2.2 Data Sources
2.3 Model and Formulation
3 Results and Discussion
4 Conclusion
References
An Analysis of the Malmquist-DEA Productivity Index Applied to the Segment of Electric Power Transmission in Brazil
1 Introduction
2 Materials and Methods
2.1 Regulatory Operating Costs and Malmquist Index
2.2 Data Base and Scenarios
3 Results and Discussion
4 Conclusions
References
Primary Healthcare Efficiency Assessment Using Panel Data
1 Introduction
2 Materials and Methods
2.1 Data and Variables
2.2 Methodology
3 Results
4 Discussion
5 Conclusions
References
Maximizing Efficiency and Mobility in Education Funding: A Three-Stage Centralized Data Envelopment Analysis Model
1 Introduction
2 A Short Literature on the Centralized DEA Model
3 Centralized DEA Framework
4 Results and Discussion
4.1 Descriptive Statistics
4.2 Results of the Centralized DEA Model
5 Conclusions
Appendix
References
Impact of China's Agricultural Water Policy Reforms on Water Usage Efficiency and Total Factor Productivity Change
1 Introduction
2 Methodology
2.1 DEA-SBM Model
2.2 DEA-Meta Frontier Model
2.3 DEA-Malmquist Productivity Index
2.4 Mann Whitney U and Kruskal-Wallis Tests
3 Inputs-Outputs Selection and Data Sources
4 Results and Discussion
4.1 Agricultural Water Usage Efficiency in China (2000-2020)
4.2 Production Technology Heterogeneity
4.3 Total Factor Productivity Change
4.4 Statistically Significant Differences Among Different Periods and Regions
5 Conclusion and Policy Implications
References
Using DEA to Identify Hispanic Serving Institutions for Best Practices in Increasing STEM Degrees Awarded to Hispanics
1 Introduction
1.1 Statement of the Problem
1.2 Background and Significance
2 Research Plan
2.1 Data Source: IPEDS
2.2 Conduct IPEDS Quality Data Audit
3 Results
3.1 Selected IPEDS Data
4 Future Research
4.1 Selection of Inputs and Outputs and Number of HSIs
4.2 Validation of Most Highly Effective STEM Best Practices
5 Broader Impact and Intellectual Merit
References
DEA as a Tool for Policy Formulation in the Public Basic Education: An Application in Brazilian Schools
1 Introduction
2 Education in Brazil
3 Public Policy Theory
4 Public Policies in Education
5 Data Envelopment Analysis in Policy Cycle
6 Conclusions
References
DEA-Viz: A Software for Visualization of Data Envelopment Analysis Problems
1 Introduction
2 Visualization of DEA Problems
3 DEA-Viz
3.1 Exploration of a Real Dataset
3.2 Data Importation
3.3 Distributions
3.4 Correlations
3.5 Cross-Efficiency Unfolding
3.6 Porembski Graph
3.7 PCA-Biplot
3.8 Color-Coded Multidimensional Scaling
3.9 Self-Organizing Map
4 Conclusion
References

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Advances in the Theory and Applications of Performance Measurement and Management

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