Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions

Valentin Zelenyuk

No WP072019, CEPA Working Papers Series from University of Queensland, School of Economics

Abstract: 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 BA—the ‘big data’—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 ‘big data’ 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 ‘big data’ problems for DEA—the immense dimensionality problem.

Keywords: Data Envelopment Analysis; Productivity; Efficiency; Business Analytics; Big Data (search for similar items in EconPapers)
Date: 2019-05
New Economics Papers: this item is included in nep-big
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Persistent link: https://EconPapers.repec.org/RePEc:qld:uqcepa:137

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