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dc.creatorRuiz, Cristhian Fabián 
dc.creatorBonilla, Ricardo 
dc.creatorChavarro, Diego 
dc.creatorOrozco, Luis Antonio 
dc.creatorZarama, Roberto 
dc.creatorPolanco, Xavier 
dc.date.accessioned2020-06-11T13:20:58Z
dc.date.available2020-06-11T13:20:58Z
dc.date.created2010
dc.identifier.issn1588-2861
dc.identifier.issn0138-9130
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24660
dc.description.abstractApplications 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.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.relation.ispartofScientometrics, ISSN:1588-2861, 0138-9130, Vol.83, No.3 (2010); pp. 711-721
dc.relation.urihttps://link.springer.com/article/10.1007%2Fs11192-009-0122-y
dc.sourceinstname:Universidad del Rosario
dc.sourcereponame:Repositorio Institucional EdocUR
dc.titleEfficiency measurement of research groups using Data Envelopment Analysis and Bayesian networks
dc.typearticle
dc.publisherKluwer Academic Publishers
dc.subject.keywordBayesian Networks
dc.subject.keywordData Envelopment Analysis
dc.subject.keywordEfficiency measurement
dc.subject.keywordResearch groups
dc.subject.keywordScientific production
dc.rights.accesRightsinfo:eu-repo/semantics/closedAccess
dc.type.spaArtículo
dc.rights.accesoBloqueado (Texto referencial)
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doihttps://doi.org/10.1007/s11192-009-0122-y
dc.relation.citationEndPage721
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage711
dc.relation.citationTitleScientometrics
dc.relation.citationVolumeVol. 83


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