Data Envelopment Analysis

A Handbook on the Modeling of Internal Structures and Networks

Editors:

ISBN: 978-1-4899-8067-0 (Print) 978-1-4899-8068-7 (Online)

Table of contents (22 chapters)

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  1. Front Matter

    Pages i-xii

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    Chapter

    Pages 1-29

    DEA for Two-Stage Networks: Efficiency Decompositions and Modeling Techniques

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    Chapter

    Pages 31-54

    Network DEA Pitfalls: Divisional Efficiency and Frontier Projection

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    Chapter

    Pages 55-77

    Efficiency Decomposition in Network Data Envelopment Analysis

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    Chapter

    Pages 79-89

    Two-Stage Network Processes: DEA Frontier Identification

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    Chapter

    Pages 91-118

    Additive Efficiency Decomposition in Network DEA

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    Chapter

    Pages 119-135

    Scale Efficiency Measurement in Two-Stage Production Systems

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    Chapter

    Pages 137-164

    Decomposing Efficiency and Returns to Scale in Two-Stage Network Systems

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    Chapter

    Pages 165-187

    Evaluating Two-Stage Network Structures: Bargaining Game Approach

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    Chapter

    Pages 189-208

    Shared Resources and Efficiency Decomposition in Two-Stage Networks

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    Chapter

    Pages 209-230

    A Network-DEA Model with Internal Dynamic Effects

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    Chapter

    Pages 231-259

    Slacks-Based Network DEA

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    Chapter

    Pages 261-284

    DEA Models for Extended Two-Stage Network Structures

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    Chapter

    Pages 285-305

    An Efficiency Measurement Framework for Multi-stage Production Systems

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    Chapter

    Pages 307-327

    Network DEA II

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    Chapter

    Pages 329-376

    Network, Shared Flow and Multi-level DEA Models: A Critical Review

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    Chapter

    Pages 377-403

    Multicomponent Efficiency Measurement in Banking

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    Chapter

    Pages 405-430

    Evaluating Power Plant Efficiency: Hierarchical Models

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    Chapter

    Pages 431-449

    Multicomponent Efficiency Measurement and Core Business Identification in Multiplant Firms

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    Chapter

    Pages 451-474

    Two-Stage Network DEA with Bad Outputs

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    Chapter

    Pages 475-535

    Performance Measurement of Major League Baseball Teams Using Network DEA

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