Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions
No WP072019, CEPA Working Papers Series from University of Queensland, School of Economics
The goal of this article is three-fold. The first goal is to present a concise review of Data Envelopment Analysis (DEA) for the more general Business Analytics (BA) community. The second goal of this paper is to discuss the key aspect (and thus the key challenge) of BAâ€”the â€˜big dataâ€™â€”to the DEA community, which besides a few exceptions, appears to have been largely circumventing this area, despite it gaining more and more attention in other areas of research and practice. The third, and most important, goal of this paper is to discuss possible solutions to the â€˜big dataâ€™ problem related to the large dimensions in the context of DEA. To achieve the latter goal, we presented some theoretical grounds and performed a new simulation study to explore the price-based aggregation as a solution to address one of the key challenges of the â€˜big dataâ€™ problems for DEAâ€”the immense dimensionality problem.
Keywords: Data Envelopment Analysis; Productivity; Efficiency; Business Analytics; Big Data (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:qld:uqcepa:137
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