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.
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