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DEA for Two-State Networks: Efficiency Decompositions and Modeling Techniques -- Network DEA Pitfalls: Divisional Efficiency and Frontier Projection -- Efficiency Decomposition in Network Data Envelopment Analysis -- Two-Stage Network Processes: DEA Frontier Identification -- Additive Efficiency...
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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...
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This book is intended to present the milestones in the progression of uncertain Data envelopment analysis (DEA). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty theory and chance theory. Chapter 2 presents a...
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Managerial ability plays a vital role in the performance of business enterprises; however, such efforts are not directly observable. This study estimates managerial ability within the insurance sector of the economy based on two data sets from two different Asian countries. We estimate...
Persistent link: https://www.econbiz.de/10013448764
The family of optimization models of Data Envelopment Analysis (DEA) has been shown to be very useful performance analytics tools that support benchmarking systems in measuring, comparing, and enhancing various notations of efficiency. It has also been extensively used as an advanced analytical...
Persistent link: https://www.econbiz.de/10013453594
In the wake of widespread privatisations of publicly owned utilities such as water, gas, electricity and telecommunications providers, regulatory systems have evolved to protect consumers from the often local monopoly or oligopoly power such organisations enjoy. Economic regulators impose inter...
Persistent link: https://www.econbiz.de/10013453607
Researchers and practitioners who use Data Envelopment Analysis often want to incorporate several inputs and outputs in their model to consider as much relevant information as possible. However, too many inputs and outputs can result in the well-known dimensionality problem referred to as the...
Persistent link: https://www.econbiz.de/10013453626