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. Cooper , W. W. – Seiford , L. M. – Tone , K. ( 2007 ): Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. 2nd ed. New York : Springer Science and Business Media

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use of weights in order to aggregate his final ranking has received much criticism. Burton and Phimister ( 1995 ) overcome the problem of arbitrary weights by applying data envelopment analysis (DEA) in ranking Diamond's 27 core economic journals

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Scientometrics
Authors: Cristhian Ruiz, Ricardo Bonilla, Diego Chavarro, Luis Orozco, Roberto Zarama, and Xavier Polanco

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.

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References Banker , R.D ., Charnes , A . and Cooper , W.W . ( 1984 ). Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis

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Summary  

This paper presents the results of a Data Envelopment Analysis of Operations Research/ Management Science journals on two questions: the duration of the refereeing/publication process and the relation between the length of the articles published and their impact. The second question uses data publicly available through the ISI Journal Citation Reports database and through the journals contents while for the first question data had to be gathered from the journal editors through an e-mail survey. The analysis gives cues about the amount each journal should aim to reduce their lead times, setting efficiency targets both on the average time from submission to first editorial decision and on the time from final editorial decision to publication. Similarly, for each journal, efficiency targets for the average article length are obtained. Our promoting of refereeing efficiency and paper length efficiency assumes that no loss of quality in the peer review process or in the knowledge transmission process needs to happen.

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Abstract  

It is shown that Data Envelopment Analysis (DEA) ca be used to construct relative scientific and technological indicators. The method is explained and illustrated using countries as objects of study; GDP, active population and R&D expenditure as inputs, and publications and patents as outputs. Using these parameters the efficiency of countries is assessed.

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Abstract  

This study examines the relative efficiency of the R&D process across a group of 22 developed and developing countries using Data Envelopment Analysis (DEA). The R&D technical efficiency is examined using a model with patents granted to residents as an output and gross domestic expenditure on R&D and the number of researchers as inputs. Under CRS (Constant Returns to Scale), Japan, the Republic of Korea and China are found to be efficient, whereas under the VRS (Variable Returns to Scale) framework, Japan, the Republic of Korea, China, India, Slovenia and Hungary are found to be efficient. The emergence of some of the developing nations on the efficiency frontier indicates that these nations can also serve as benchmarks for their efficient use of R&D resources. The inefficiency in the R&D resource usage highlighted by this study indicates the underlying potential that can be tapped for the development and growth of nations.

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the Czech Republic by Data Envelopment Analysis . Paper presented at the International Conference QUAERE 2013 , May 20–24, Hradec Králové, Czech Republic. Available at: <http://www.vedeckekonference.cz/library/ proceedings/quaere_2013.pdf

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Acta Oeconomica
Authors: GheorghiŢa Dincă, Marius Sorin Dincă, and Maria LetiŢia Andronic

implications on public sector's efficiency. In order to establish the degrees of efficiency and inefficiency of the national health systems we used the Data Envelopment Analysis (DEA). 1 DEA is also used to identify the countries that have the highest

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publication , No. 2, 2007, pp. 149–165. Tongzon J. Efficiency measurements of selected Australian and other international ports using data envelopment analysis, Transportation Research, Part A , No. 35, 2001, pp. 107

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