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Efficiency measurement of research groups using Data Envelopment Analysis and Bayesian networks
Título de la revista
Autores
Ruiz, Cristhian Fabián
Bonilla, Ricardo
Chavarro, Diego
Orozco, Luis Antonio
Zarama, Roberto
Polanco, Xavier
Fecha
2010
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Kluwer Academic Publishers
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Abstract
Applications of non-parametric frontier production methods such as Data Envelopment Analysis (DEA) have gained popularity and recognition in scientometrics. DEA seems to be a useful method to assess the efficiency of research units in different fields and disciplines. However, DEA results give only a synthetic measurement that does not expose the multiple relationships between scientific production variables by discipline. Although some papers mention the need for studies by discipline, they do not show how to take those differences into account in the analysis. Some studies tend to homogenize the behaviour of different practice communities. In this paper we propose a framework to make inferences about DEA efficiencies, recognizing the underlying relationships between production variables and efficiency by discipline, using Bayesian Network (BN) analysis. Two different DEA extensions are applied to calculate the efficiency of research groups: one called CCRO and the other Cross Efficiency (CE). A BN model is proposed as a method to analyze the results obtained from DEA. BNs allow us to recognize peculiarities of each discipline in terms of scientific production and the efficiency frontier. Besides, BNs provide the possibility for a manager to propose what-if scenarios based on the relations found. © 2009 AkadÉmiai KiadÓ, Budapest, Hungary.
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Keywords
Bayesian Networks , Data Envelopment Analysis , Efficiency measurement , Research groups , Scientific production
