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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