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

Autor/inn/en	Ruiz, Cristhian Fabián; Bonilla, Ricardo; Chavarro, Diego; Orozco, Luis Antonio; Zarama, Roberto; Polanco, Xavier
Titel	Efficiency measurement of research groups using Data Envelopment Analysis and Bayesian networks.
Quelle	In: Scientometrics, (2009) 3, S.711-721 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-009-0122-y
Schlagwörter	Data Envelopment Analysis; Bayesian Networks; Scientific production; Efficiency measurement; Research groups
Abstract	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.
Erfasst von	OLC
Update	2023/2/05