{
"item_title" : "Data-Enabled Analytics",
"item_author" : [" Joe Zhu", "Vincent Charles "],
"item_description" : "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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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783030751616
- ISBN-10: 3030751619
- Publisher: Springer
- Publish Date: December 2021
- Dimensions: 9.21 x 6.14 x 0.88 inches
- Shipping Weight: 1.55 pounds
- Page Count: 364
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