Introduction to the Theory and Application of Data Envelopment

In this review of Introduction to the Theory and Application of Data Envelopment Analysis the reviewer finds it a focused and practical foundation text for readers seeking a rigorous introduction to efficiency measurement. The book is best for graduate students, researchers and practitioners who need a systematic explanation of how Data Envelopment Analysis (DEA) assesses comparative efficiency among organisational units; the single biggest reason to buy is its clear linkage between theory and real applications that make DEA usable for banks, hospitals, schools and similar units. This review highlights what to expect from the text and who will get most value from it.

Key Features

• Foundational theory: Presents the development and core principles of Data Envelopment Analysis so readers understand the mathematical and conceptual basis for efficiency assessment.
• Application focus: Demonstrates how DEA applies to comparable organisational units such as bank branches, hospital departments and schools, making the method concrete for practitioners.
• Integrated software: Includes discussion of software tools that help implement DEA, which shortens the learning curve for users applying models to real data.
• Comparative efficiency emphasis: Explains how DEA reveals scope for resource conservation across units that perform the same functions, helping managers identify improvement opportunities.
• Clear examples: Uses typical use cases-staff and capital inputs producing outputs like loans or services-to show model setup and interpretation in realistic contexts.

Who It's For

This book is best suited to graduate students in economics or operations research, analysts working with organisational performance data and academic researchers needing a structured introduction to efficiency measurement. The blend of theory and practical examples makes it useful as a course text or as a reference for applied projects.

Practitioners who want a gentle hands-on tutorial with minimal mathematical detail might look elsewhere; similarly, readers seeking an encyclopedic treatment of every DEA variant may find the scope intentionally focused on foundational methods and typical applications.

Pros & Cons

Pros

• Clear exposition of DEA theory that makes model assumptions and implications accessible to non-specialists.
• Practical orientation with examples tied to real organisational settings such as banks and hospitals.
• Includes integrated software guidance that helps translate theory into applied analysis.

Cons

• Not a comprehensive reference for every advanced DEA extension; scope prioritises foundational methods.

Specifications

Our Verdict

This foundation text is a strong buy for students, analysts and researchers who need a clear, practical introduction to Data Envelopment Analysis. Its combination of theory, real-world examples and software guidance offers good value for anyone implementing DEA in businesses or public-sector organisations, though specialists seeking exhaustive advanced extensions may prefer a supplementary reference.

Frequently Asked Questions

Does the book explain how DEA is used in banks?
Yes; the text uses bank branches as a recurring example to show inputs like staff and capital and outputs such as loans and transactions.

Is software instruction included?
The book includes integrated software guidance to help readers implement DEA models on real data.

Who should avoid this book?
Readers wanting a highly advanced, exhaustive compendium of every DEA variant should consider a more specialised reference in addition to this foundation text.