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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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Scientometrics
Authors:
Victor Bucheli
,
Adriana Díaz
,
Juan Pablo Calderón
,
Pablo Lemoine
,
Juan Alejandro Valdivia
,
José Luis Villaveces
, and
Roberto Zarama

Abstract

The aim of this paper is to study the knowledge production of Colombian universities in terms of their accumulation of intellectual capital (IC). We observe Colombian universities’ publications between 1958 and 2008, categorizing each university according to growth trends in its scientific publications: early exponential growth, late exponential growth, and linear and irregular growth. This work describes the relationships between these growth trends and IC accumulation. It presents an historical description of some institutional changes in Colombian universities that improved the research activity. In addition, we present an empirical study of IC accumulation in universities from the three growth trend categories between 2003 and 2009. We suggest that the adapting capacity, the accumulation time, and the strategies of IC accumulation related to feedback structures are key factors in explaining the differences in knowledge production between growth categories of Colombian universities. The results show critical differences—on orders of magnitude—in IC accumulation across the three categories. Therefore, it would be possible to define a roadmap to improve the knowledge production in Colombian universities.

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