Research Methodology On Data Envelopment Analysis Dea

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Research Methodology on Data Envelopment Analysis (DEA)

Jibendu Kumar Mantri
Research Methodology on Data Envelopment Analysis DEA Book PDF

Author : Jibendu Kumar Mantri
Publisher : Universal-Publishers
Page : 379 pages
File Size : 55,6 Mb
Release : 2008
Category : Business & Economics
ISBN : 9781599429502

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Research Methodology on Data Envelopment Analysis (DEA) by Jibendu Kumar Mantri Pdf

Data Envelopment Analysis (DEA) represents a milestone in the progression of a continuously advancing methodology for data analysis, which finds extensive use in industry, society and even in education. This book is a handy encyclopedia for researchers, students and practitioners looking for the latest and most comprehensive references in DEA. J.K. Mantri has specifically selected 22 research papers where DEA is applied in different fields so that the techniques discussed in this book can be used for various applications. In A Bibliography of Data Envelopment Analysis (1978-2001), Gabriel Tavares states that DEA is a mathematical programme for measuring performance efficiency of organizations popularly named as decision-making units (DMU). The DMU can be of any kind such as manufacturing units, a number of schools, banks, hospitals, police stations, firms, etc. DEA measures the performance efficiency of these kinds of DMUs, which share a common characteristic: they have a non-profit organization where measurement is difficult. DEA assumes the performance of the DMU using the concepts of efficiency and productivity, which are measured as the ratio of total outputs to total inputs. The efficiencies estimated are relative to the best performing DMU, which is given a score of 100%. The performance of other DMUs varies between 0% and 100%.

Data Envelopment Analysis

Joe Zhu
Data Envelopment Analysis Book PDF

Author : Joe Zhu
Publisher : Springer
Page : 465 pages
File Size : 48,8 Mb
Release : 2015-03-18
Category : Business & Economics
ISBN : 9781489975539

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Data Envelopment Analysis by Joe Zhu Pdf

This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

Data Envelopment Analysis: Theory, Methodology, and Applications

Abraham Charnes,William W. Cooper,Arie Y. Lewin,Lawrence M. Seiford
Data Envelopment Analysis Theory Methodology and Applications Book PDF

Author : Abraham Charnes,William W. Cooper,Arie Y. Lewin,Lawrence M. Seiford
Publisher : Springer Science & Business Media
Page : 507 pages
File Size : 42,9 Mb
Release : 2013-12-01
Category : Business & Economics
ISBN : 9789401106375

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Data Envelopment Analysis: Theory, Methodology, and Applications by Abraham Charnes,William W. Cooper,Arie Y. Lewin,Lawrence M. Seiford Pdf

This book represents a milestone in the progression of Data Envelop ment Analysis (DEA). It is the first reference text which includes a comprehensive review and comparative discussion of the basic DEA models. The development is anchored in a unified mathematical and graphical treatment and includes the most important modeling ex tensions. In addition, this is the first book that addresses the actual process of conducting DEA analyses including combining DEA and 1 parametric techniques. The book has three other distinctive features. It traces the applications driven evolution and diffusion of DEA models and extensions across disciplinary boundaries. It includes a comprehensive bibliography to serve as a source of references as well as a platform for further develop ments. And, finally, the power of DEA analysis is demonstrated through fifteen novel applications which should serve as an inspiration for future applications and extensions of the methodology. The origin of this book was a Conference on New Uses of DEA in 2 Management and Public Policy which was held at the IC Institute of the University of Texas at Austin on September 27-29, 1989. The conference was made possible through NSF Grant #SES-8722504 (A. Charnes and 2 W. W. Cooper, co-PIs) and the support of the IC Institute.

Handbook on Data Envelopment Analysis

William W. Cooper,Lawrence M. Seiford,Joe Zhu
Handbook on Data Envelopment Analysis Book PDF

Author : William W. Cooper,Lawrence M. Seiford,Joe Zhu
Publisher : Springer Science & Business Media
Page : 498 pages
File Size : 42,5 Mb
Release : 2011-08-23
Category : Business & Economics
ISBN : 1441961518

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Handbook on Data Envelopment Analysis by William W. Cooper,Lawrence M. Seiford,Joe Zhu Pdf

This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research. It defines the state-of-the-art of DEA methodology and its uses. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are generally major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, which, in the present issue extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, engineering, health care, and services. The handbook's chapters are organized into two categories: (i) basic DEA models, concepts, and their extensions, and (ii) DEA applications. First edition contributors have returned to update their work. The second edition includes updated versions of selected first edition chapters. New chapters have been added on: different approaches with no need for a priori choices of weights (called “multipliers) that reflect meaningful trade-offs, construction of static and dynamic DEA technologies, slacks-based model and its extensions, DEA models for DMUs that have internal structures network DEA that can be used for measuring supply chain operations, Selection of DEA applications in the service sector with a focus on building a conceptual framework, research design and interpreting results.

An Introduction to Data Envelopment Analysis

R Ramanathan
An Introduction to Data Envelopment Analysis Book PDF

Author : R Ramanathan
Publisher : SAGE
Page : 208 pages
File Size : 40,7 Mb
Release : 2003-08-18
Category : Business & Economics
ISBN : 076199761X

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An Introduction to Data Envelopment Analysis by R Ramanathan Pdf

From the Foreword: 'This book is an excellent tool for practitioners who are interested in the merits and pitfalls of the technique.... (The author's) research is an example of inventiveness, diligence and accuracy' - Freerk A. Lootsma, Delft Institute of Technology Data envelopment Analysis is a Mathematical Programme for measuring performance efficiency of organizational units. The organizational units, termed as decision-making units (DMU) can be of any kind: manufacturing units, a set of schools, banks, hospitals, power plants, police stations, prisons, a set of firms etc. DEA has been unsuccessfully applied to measure the performance efficiency of these different kinds of DMUs which share a common characteristic - that they are non-profit organization where measurement of performance efficiency is difficult. DEA has been employed for assessing the relative performance of a set of firms that use a variety of identical inputs-say in the case of a school: quality of students, teachers, grants etc.,-to produce a variety of identical outputs-number of students who pass the final year, average grades obtained by the students in the final year etc. DEA assumes the performance of the DMUs by using the concepts of efficiency or productivity which is measured as the ratio of total outputs to total inputs. Also, the efficiencies estimated are relative to the best performing DMU or DMUs. The best performing DMU is given a score of 100% and the performance of other DMUs vary between 0 -100%.

Data Envelopment Analysis in the Financial Services Industry

Joseph C. Paradi,H. David Sherman,Fai Keung Tam
Data Envelopment Analysis in the Financial Services Industry Book PDF

Author : Joseph C. Paradi,H. David Sherman,Fai Keung Tam
Publisher : Springer
Page : 370 pages
File Size : 45,5 Mb
Release : 2017-11-21
Category : Business & Economics
ISBN : 9783319697253

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Data Envelopment Analysis in the Financial Services Industry by Joseph C. Paradi,H. David Sherman,Fai Keung Tam Pdf

This book presents the methodology and applications of Data Envelopment Analysis (DEA) in measuring productivity, efficiency and effectiveness in Financial Services firms such as banks, bank branches, stock markets, pension funds, mutual funds, insurance firms, credit unions, risk tolerance, and corporate failure prediction. Financial service DEA research includes banking; insurance businesses; hedge, pension and mutual funds; and credit unions. Significant business transactions among financial service organizations such as bank mergers and acquisitions and valuation of IPOs have also been the focus of DEA research. The book looks at the range of DEA uses for financial services by presenting prior studies, examining the current capabilities reflected in the most recent research, and projecting future new uses of DEA in finance related applications.

Advances in Research Methods for Information Systems Research

Kweku-Muata Osei-Bryson,Ojelanki Ngwenyama
Advances in Research Methods for Information Systems Research Book PDF

Author : Kweku-Muata Osei-Bryson,Ojelanki Ngwenyama
Publisher : Springer Science & Business Media
Page : 231 pages
File Size : 43,7 Mb
Release : 2013-11-25
Category : Business & Economics
ISBN : 9781461494638

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Advances in Research Methods for Information Systems Research by Kweku-Muata Osei-Bryson,Ojelanki Ngwenyama Pdf

Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore behavioral questions in information systems research. As adoption and use of these research methods expand, there is growing need for a resource book to assist doctoral students and advanced researchers in understanding their potential to contribute to a broad range of research problems. Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking focuses on bridging and unifying these three different methodologies in order to bring them together in a unified volume for the information systems community. This book serves as a resource that provides overviews on each method, as well as applications on how they can be employed to address IS research problems. Its goal is to help researchers in their continuous efforts to set the pace for having an appropriate interplay between behavioral research and design science.

Data-Enabled Analytics

Joe Zhu,Vincent Charles
Data Enabled Analytics Book PDF

Author : Joe Zhu,Vincent Charles
Publisher : Springer Nature
Page : 370 pages
File Size : 45,9 Mb
Release : 2021-12-16
Category : Business & Economics
ISBN : 9783030751623

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Data-Enabled Analytics by Joe Zhu,Vincent Charles Pdf

This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.

Data Envelopment Analysis

William W. Cooper,Lawrence M. Seiford,Kaoru Tone
Data Envelopment Analysis Book PDF

Author : William W. Cooper,Lawrence M. Seiford,Kaoru Tone
Publisher : Springer Science & Business Media
Page : 492 pages
File Size : 49,8 Mb
Release : 2007-01-10
Category : Business & Economics
ISBN : 9780387452838

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Data Envelopment Analysis by William W. Cooper,Lawrence M. Seiford,Kaoru Tone Pdf

This volume systematically details both the basic principles and new developments in Data Envelopment Analysis (DEA), offering a solid understanding of the methodology, its uses, and its potential. New material in this edition includes coverage of recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment.

Introduction to the Theory and Application of Data Envelopment Analysis

Emmanuel Thanassoulis
Introduction to the Theory and Application of Data Envelopment Analysis Book PDF

Author : Emmanuel Thanassoulis
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 41,5 Mb
Release : 2013-06-29
Category : Business & Economics
ISBN : 9781461514077

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Introduction to the Theory and Application of Data Envelopment Analysis by Emmanuel Thanassoulis Pdf

1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and capital assets to effect income generating activities such as advancing loans, selling financial products and carrying out banking transactions on behalf of their clients. The efficiencies assessed in this context by DEA are intended to reflect the scope for resource conservation at the unit being assessed without detriment to its outputs, or alternatively, the scope for output augmentation without additional resources. The efficiencies assessed are comparative or relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. We resort to relative rather than absolute efficiencies because in most practical contexts we lack sufficient information to derive the superior measures of absolute efficiency. DEA was initiated by Charnes Cooper and Rhodes in 1978 in their seminal paper Chames et al. (1978). The paper operationalised and extended by means of linear programming production economics concepts of empirical efficiency put forth some twenty years earlier by Farrell (1957).

Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency

Ajibesin, Adeyemi Abel,Vajjhala, Narasimha Rao
Data Envelopment Analysis DEA Methods for Maximizing Efficiency Book PDF

Author : Ajibesin, Adeyemi Abel,Vajjhala, Narasimha Rao
Publisher : IGI Global
Page : 413 pages
File Size : 53,5 Mb
Release : 2024-01-16
Category : Computers
ISBN : 9798369302576

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Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency by Ajibesin, Adeyemi Abel,Vajjhala, Narasimha Rao Pdf

In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.

Data Envelopment Analysis: Balanced Benchmarking

Wade D. Cook,Joe Zhu
Data Envelopment Analysis Balanced Benchmarking Book PDF

Author : Wade D. Cook,Joe Zhu
Publisher : Unknown
Page : 308 pages
File Size : 49,6 Mb
Release : 2013-10-20
Category : Data envelopment analysis
ISBN : 149297479X

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Data Envelopment Analysis: Balanced Benchmarking by Wade D. Cook,Joe Zhu Pdf

The current book introduces the methodology of data envelopment analysis (DEA). DEA uses mathematical programming techniques and models to evaluate the performance of peer units (e.g., bank branches, hospitals and schools) in terms of multiple performance measures or metrics. These multiple performance measures are classified or coined as DEA inputs and DEA outputs. Although DEA has a strong link to production theory in economics, the tool is also used for benchmarking in operations management, where a set of measures is selected to benchmark the performance of manufacturing and service operations. In the circumstance of benchmarking, the efficient DMUs, as defined by DEA, may not necessarily form a "production frontier", but rather lead to a "best-practice frontier". DEA's empirical orientation and absence of a priori assumptions have resulted in its use in a number of studies involving efficient or best-practice frontier estimation in the nonprofit, regulated, and private sectors. DEA applications involve a wide range of contexts, such as education, health care, banking, armed forces, auditing, market research, retail outlets, organization effectiveness, transportation, public housing, and manufacturing. DEA is a balanced benchmarking tool that will help organizations to examine their assumptions about their productivity and performance. The book provides students, researchers, and practitioners with a solid understanding of the methodology, its uses and potentials in business analytics.

Data Envelopment Analysis

Joe Zhu
Data Envelopment Analysis Book PDF

Author : Joe Zhu
Publisher : Springer
Page : 587 pages
File Size : 41,6 Mb
Release : 2016-03-22
Category : Business & Economics
ISBN : 9781489976840

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Data Envelopment Analysis by Joe Zhu Pdf

This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational structure of transportation organizations and the relative network data envelopment analysis model. Chapter 3 demonstrates how to use different types of DEA models to compute total-factor energy efficiency scores with an application to energy efficiency. In chapter 4, the authors explore the impact of incorporating customers' willingness to pay for service quality in benchmarking models on cost efficiency of distribution networks, and chapter 5 provides a brief review of previous applications of DEA to the professional baseball industry, followed by two detailed applications to Major League Baseball. Chapter 6 examines efficiency and productivity of U.S. property-liability (P-L) insurers using DEA, while chapter 7 presents a two-stage network DEA model that decomposes the overall efficiency of a decision-making unit into two components. Chapter 8 presents a review of the literature of DEA models for the perfoemance assessment of mutual funds, and chapter 9 discusses the management strategies formulation of the international tourist hotel industry in Taiwan. Chapter 10 presents a novel use of the two-stage network DEA to evaluate sustainable product design performances. In chapter 11 authors highlight limitations of some DEA environmental efficiency models, and chapter 12 reviews applications of DEA in secondary and tertiary education. Chapter 13 measures the relative performance of New York State school districts in the 2011-2012 academic year. Chapter 14 provides an introductory prelude to chapters 15 and 16, which both provide detailed applications of DEA in marketing. Chapter 17 then shows how to decompose a new total factor productivity index that satisfies all economically-relevant axioms from index theory with an application to U.S. agriculture. Finally, chapter 18 presents a unique study that conducts a DEA research front analysis, applying a network clustering method to group the DEA literature over the period 2000 to 2014.

Data Envelopment Analysis and Effective Performance Assessment

Lotfi, Farhad Hossein Zadeh,Najafi, Seyed Esmaeil,Nozari, Hamed
Data Envelopment Analysis and Effective Performance Assessment Book PDF

Author : Lotfi, Farhad Hossein Zadeh,Najafi, Seyed Esmaeil,Nozari, Hamed
Publisher : IGI Global
Page : 365 pages
File Size : 52,8 Mb
Release : 2016-09-01
Category : Computers
ISBN : 9781522505976

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Data Envelopment Analysis and Effective Performance Assessment by Lotfi, Farhad Hossein Zadeh,Najafi, Seyed Esmaeil,Nozari, Hamed Pdf

For any organization, analysis of performance and effectiveness through available data allows for informed decision making. Data envelopment analysis, or DEA, is a popular, effective method that can be used to measure productive efficiency in operations management assessment. Data Envelopment Analysis and Effective Performance Assessment addresses the myriad of practical uses and innovative developments of DEA. Emphasizing the importance of analyzing productivity by measuring inputs, goals, economic growth, and performance, this book covers a wide breadth of innovative knowledge. This book is essential reading for managers, business professionals, students of business and ICT, and computer engineers.

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

Joe Zhu,Wade D. Cook
Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis Book PDF

Author : Joe Zhu,Wade D. Cook
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 51,7 Mb
Release : 2007-06-08
Category : Business & Economics
ISBN : 9780387716077

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Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis by Joe Zhu,Wade D. Cook Pdf

In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.