12593nam 22007695 450 991088608250332120250807153037.03-031-61597-210.1007/978-3-031-61597-9(MiAaPQ)EBC31641919(Au-PeEL)EBL31641919(CKB)34774639600041(DE-He213)978-3-031-61597-9(OCoLC)1455135470(EXLCZ)993477463960004120240902d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in the Theory and Applications of Performance Measurement and Management Proceedings of DEA45—International Conference on Data Envelopment Analysis /edited by Ali Emrouznejad, Emmanuel Thanassoulis, Mehdi Toloo1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (322 pages)Lecture Notes in Operations Research,2731-04183-031-61596-4 Includes bibliographical references.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 alphaα-Cut -- 5.2 Model Based on betaβ-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.This book presents selected proceedings of DEA45: International Conference on Data Envelopment Analysis, which was held September 4-6, 2023, at Surrey Business School, University of Surrey, Guildford, UK. It contains theoretical and empirical papers on Data Envelopment Analysis (DEA) and related fields with a focus on performance measurement and management. It discusses the latest research and developments and their application in various areas such as regulation, agriculture, education, financial and health services. The book is of interest to both researchers and practitioners working on or utilizing the DEA method for examining efficiencies across various organizations. .Lecture Notes in Operations Research,2731-0418Operations researchBusinessData processingProduction managementBusiness information servicesBig dataOperations Research and Decision TheoryBusiness AnalyticsOperations ManagementIT in BusinessBig DataOperations research.BusinessData processing.Production management.Business information services.Big data.Operations Research and Decision Theory.Business Analytics.Operations Management.IT in Business.Big Data.658.4034Emrouznejad AliThanassoulis EmmanuelToloo MehdiMiAaPQMiAaPQMiAaPQBOOK9910886082503321Advances in the Theory and Applications of Performance Measurement and Management4430824UNINA