Data-enabled analytics: dea for big data
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030751647
Date de publication :
18 déc. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. 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.