Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science, 312)

Data-Enabled Analytics: DEA for Big Data (International Series in Operations Research & Management Science, 312)

Author
Joe Zhu (editor), Vincent Charles (editor)
Publisher
Springer
Language
English
Edition
1st ed. 2021
Year
2021
Page
374
ISBN
3030751619,9783030751616
File Type
pdf
File Size
7.6 MiB

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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