Data-Enabled Analytics: DEA for Big Data - Couverture rigide

Livre 308 sur 323: International Series in Operations Research & Management Science
 
9783030751616: Data-Enabled Analytics: DEA for Big Data
Couverture rigide
ISBN 10 : 3030751619 ISBN 13 : 9783030751616
Editeur : Springer Nature Switzerland AG, 2021

Synopsis

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.

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À propos de l?auteur

Joe Zhu is a Professor of Operations Analytics in the Foisie Business School, Worcester Polytechnic Institute. He is an internationally recognized expert in methods of performance evaluation and benchmarking using Data Envelopment Analysis (DEA), and his research interests are in the areas of operations and business analytics, productivity modeling, and performance evaluation and benchmarking. He has published and co-edited several books focusing on performance evaluation and benchmarking using DEA and developed the DEAFrontier software. With more than 130 journal articles, books, and textbooks along with over 20,000 Google Scholar citations, he is recognized as one of the top authors in DEA with respect to research productivity, h-index, and g-index.

Vincent Charles is a Professor of Management Science and the Director of Research at Buckingham Business School, University of Buckingham, UK. He has published over 110 research works with Pearson Education, Cambridge ScholarsPublishing, UK and other publishers. His area of research includes productivity, quality, efficiency, effectiveness, competitiveness, innovation, and design thinking. He has the following industry exposure for research and consultancy purposes: advertising, agriculture & agribusiness, transportation, consumer products, banking, education, electronics, and manufacturing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2021
Langue
anglais
ISBN 10 
3030751619
ISBN 13 
9783030751616
Reliure
Relié
Nombre de pages
374
Éditeur
Zhu Joe, Charles Vincent
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
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Heidelberg
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Allemagne

Autres éditions populaires du même titre

9783030751647: Data-Enabled Analytics: DEA for Big Data

Edition présentée

ISBN 10 :  3030751643 ISBN 13 :  9783030751647
Editeur : Springer, 2022
Couverture souple