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Softcover - 9783030751647
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Beschreibung
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.
DEA for Big Data
DEA for Big Data
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 17. Dezember 2021 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 677 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783030751616 |
| Seiten | 364 |
Schlagwörter
Big Data, Datenbanken, Economics, IT in Business, Management: Entscheidungstheorie, Operations Research and Decision Theory, Quantitative Economics, Unternehmensanwendungen, Unternehmensforschung, Wirtschaftsmathematik und -informatik - IT-Management, Wirtschaftstheorie und -philosophie, Wirtschaftswissenschaft
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