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Efficiency measurement of research groups using Data Envelopment Analysis and Bayesian networks

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dc.creatorRuiz, Cristhian Fabiánspa
dc.creatorBonilla, Ricardospa
dc.creatorChavarro, Diegospa
dc.creatorOrozco, Luis Antoniospa
dc.creatorZarama, Robertospa
dc.creatorPolanco, Xavierspa
dc.date.accessioned2020-06-11T13:20:58Z
dc.date.available2020-06-11T13:20:58Z
dc.date.created2010spa
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.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/s11192-009-0122-y
dc.identifier.issn1588-2861
dc.identifier.issn0138-9130
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24660
dc.language.isoeng
dc.publisherKluwer Academic Publishersspa
dc.relation.citationEndPage721
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage711
dc.relation.citationTitleScientometrics
dc.relation.citationVolumeVol. 83
dc.relation.ispartofScientometrics, ISSN:1588-2861, 0138-9130, Vol.83, No.3 (2010); pp. 711-721spa
dc.relation.urihttps://link.springer.com/article/10.1007%2Fs11192-009-0122-yspa
dc.rights.accesRightsinfo:eu-repo/semantics/closedAccess
dc.rights.accesoBloqueado (Texto referencial)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBayesian Networksspa
dc.subject.keywordData Envelopment Analysisspa
dc.subject.keywordEfficiency measurementspa
dc.subject.keywordResearch groupsspa
dc.subject.keywordScientific productionspa
dc.titleEfficiency measurement of research groups using Data Envelopment Analysis and Bayesian networksspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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