1st Edition 2021
Hardback (17 Dec 2021)
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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.
| ISBN: | 9783030751616 |
| Publisher: | Springer International Publishing |
| Imprint: | Springer |
| Pub date: | 17 Dec 2021 |
| Edition: | 1st Edition 2021 |
| Language: | English |
| Number of pages: | 364 |
| Weight: | 703g |
| Height: | 235mm |
| Width: | 155mm |
| Spine width: | 22mm |
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