Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science)

ISBN 10: 3030751643 ISBN 13: 9783030751647

Verlag: Springer, 2022

Neu Softcover

Verk�ufer Ria Christie Collections, Uxbridge, Vereinigtes K�nigreich Verk�uferbewertung 5 von 5 Sternen

AbeBooks-Verk�ufer seit 25. M�rz 2015

Dieser Artikel ist nicht mehr verf�gbar.

Alle Artikel dieses Verk�ufers anzeigen Ein Kaufgesuch f�r �hnliche Artikel erstellen

Alle Exemplare dieses Buches anzeigen

Beschreibung

In. Bestandsnummer des Verk�ufers ria9783030751647_new

Diesen Artikel melden

Inhaltsangabe:

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.

�ber die Autorin bzw. den Autor: 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.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Bibliografische Details

Titel: Data-Enabled Analytics: DEA for Big Data (...
Verlag: Springer
Erscheinungsdatum: 2022
Einband: Softcover
Zustand: New

Beste Suchergebnisse beim ZVAB

Beispielbild f�r diese ISBN

Data-Enabled Analytics : DEA for Big Data

Unbekannt

Verlag: Springer Nature Switzerland, 2022

ISBN 10: 3030751643 ISBN 13: 9783030751647

Gebraucht Softcover

Anbieter: Buchpark, Trebbin, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 376 | Sprache: Englisch | Produktart: B�cher | 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. Artikel-Nr. 41184756/1

Verk�ufer kontaktieren

Gebraucht kaufen

EUR 104,00

EUR 105,00 Versand
Versand von Deutschland nach USA

Anzahl: 4 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Data-Enabled Analytics : DEA for Big Data

Unbekannt

Verlag: Springer Nature Switzerland, 2022

ISBN 10: 3030751643 ISBN 13: 9783030751647

Gebraucht Softcover

Anbieter: Buchpark, Trebbin, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: B�cher | 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. Artikel-Nr. 41184756/2

Verk�ufer kontaktieren

Gebraucht kaufen

EUR 104,00

EUR 105,00 Versand
Versand von Deutschland nach USA

Anzahl: 3 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Data-Enabled Analytics : DEA for Big Data

Vincent Charles

Verlag: Springer International Publishing, 2022

ISBN 10: 3030751643 ISBN 13: 9783030751647

Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783030751647

Verk�ufer kontaktieren