Data Envelopment Analysis: A Handbook of Modeling Internal Structure and Network

This book meticulously uncovers the intricacies of DEA, focusing on the internal mechanisms and network structures that define and influence decision-making processes. Over the years, DEA has evolved from a simple efficiency measurement tool to a comprehensive analytical framework. This evolution is artfully encapsulated in this handbook, illustrated through models that depict the internal structures of organizations and their intricate networks.

The editors bring together a diverse range of perspectives from leading experts in the field, offering a rich tapestry of theoretical insights and practical applications. The book is structured to provide readers with a foundational understanding of DEA and progressively introduce more complex models that capture interconnections and evaluate performance metrics beyond traditional boundaries. From the examination of basic internal structures to the application of network DEA models, the book covers a wide array of topics crucial for advanced analysis.

• Understanding the evolution of DEA from basic efficiency measurement to complex network analyses and internal structural modeling.

• Gaining insights into the methodologies used to construct DEA models that capture an organization's internal and network structures.

• Learning from case studies and applications illustrating the real-world utility of DEA in various sectors, including finance, healthcare, and manufacturing.

• Exploring advanced DEA models, such as network DEA, which accounts for interconnections and interdependencies within networks.

"Understanding the structures that govern decision-making processes within organizations is key to unlocking new levels of efficiency and productivity."

"To analyze is to deconstruct and comprehend the unseen networks that pulsate beneath the surface of organizational operations."

"Data Envelopment Analysis: A Handbook of Modeling Internal Structure and Network" represents a significant contribution to the field of operations research and efficiency analysis. It addresses the increasing complexity of organizational environments and the need for sophisticated analytical tools that go beyond surface-level assessments. As the global economy pivots towards more interconnected and network-based operations, the ability to accurately model and evaluate these systems is becoming imperative.

For practitioners, this book provides practical approaches and examples of DEA applications across various industries, demonstrating its versatility and power. For researchers, it opens new avenues for exploration and development in fields like network optimization and internal process evaluations. The insights and methodologies presented in this book are vital for anyone committed to improving organizational performance through data-driven decisions.