Data envelopment analysis (DEA), a non-parametric technique, has emerged as a popular management tool for measuring the performance of a set of entities, known as decision making units. This book, Data Envelopment Analysis and Its Applications to Management, is a collection of contributions from DEA experts from various countries. It covers a wide range of research papers from the theoretical development of DEA to its applications in various sectors such as economy, banking, education, revenue management, sports, branch networks, cities, and live stock production systems. The book is useful...

Dans une premiA]re partie bibliographique, l'auteur prA(c)sente une synthA]se des connaissances actuelles sur la communication interatriale (CIA) chez les carnivores domestiques. Par la suite, ces donnA(c)es sont confrontA(c)es aux rA(c)sultats d'une A(c)tude rA(c)trospective de 156 cas de CIA diagnostiquA(c)s chez le chien et le chat A l'Ecole Nationale VA(c)tA(c)rinaire d'Alfort (ENVA) entre 2001 et 2005. L'A(c)tude apporte en particuliers des A(c)lA(c)ments sur la frA(c)quence, la prA(c)disposition raciale, et les rA(c)percussions cliniques et A(c)chographiques de cette cardiopathie chez...

Measuring and managing the performance of a business is one of the main requirements of the management of any organization. This book introduces new contexts and themes of application and presents emerging research areas related to business performance measurement and management. It draws authors from all around the globe from a variety of functional disciplines, all of whom are working in the field of business performance measurement and management, thus resulting in a variety of perspectives on performance measurement from various functional areas - accounting, finance, economics,...

Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.