Measuring Scientific Research Performance of Romanian Public Research Entities

Measuring Scientific Research Performance of Romanian Public Research Entities

Silviu-Mihail Tiţă (Faculty of Business Administration, Universitatea “Alexandru Ioan Cuza,” Iaşi, Romania)
Copyright: © 2012 |Pages: 15
DOI: 10.4018/ijsem.2012100106
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Abstract

In this period, the science sector plays a strategic role to increase the economic growth of countries and for this reason the measure and evaluation of research performance of its units (public research institutes) is needed. The most model for evaluate research is based on peer review, but when this method in Romania become inefficient the alternative was quantitative model One of the quantitative model is RELEV. The author used this model to evaluate more than 100 Romanian research entities: National Research Institutes, Universities, Research institutes of the Romanian Academy, Medical Units and Companies.
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1. Introduction

The purpose of evaluating the institutions and personnel engaged in scientific research is to highlight the consequences of management policies to reach the proposed targets at the institutional level in close contact with those established by the national strategies. “Measurement is the first step that leads to control and eventually to improvement. If you can’t measure something, you can’t understand it” (Karlsson et al., 2004).

“During evaluation is assessed the global effectiveness of national programs or the relative effectiveness of one or more programs in achieving the objectives set by the national strategy” (Wholey, 1999). “Performance measurement systems should provide quality information to decision makers so that they can determine whether their efforts are on course” (Cook et al., 1995).

The research evaluation is objective, systematic and empirically examine the effects of policies and programs for reaching the proposed goals. We have “three main reasons why there is a need for improved and more open methods of evaluating research performance in basic science: the first relates to the fact that the rapid growth in the basic science budgets of industrialized countries… secondly resources have over the years become concentrated in a few central facilities...thirdly, there are reasons for believing that the traditional peer-review system is coming under increasing strain. One reason is that the previous pattern of scientific growth has led to the entrenchment of particular interests in decision-making bodies” (Irvine, 1985). In assessing research output “two approaches are mainly used: peer reviewed bibliometric methods. Each method has its assets and liabilities. Only a few studies have tried to compare the outcome of peer reviews with bibliometric results and they are inconclusive in their results” (Groot & Garcia-Valderrama, 2006).

Other author consider in “evaluation researchers increasingly use both qualitative and quantitative methods in their evaluation efforts. Among the more common qualitative methods of obtaining data are focus group techniques” (Massey, 2011). Qualitative method in this case is peer-review and quantitative methods can be bibliometrics, infometrics, etc.

The evaluation process can be directed not only to assess the results without relying on the circumstances and socio-economic conditions in which they were made. The importance of assessment is highly relevant if the research resources are limited.

The research evaluation methods have become an international independent scientific discipline. Evaluators have the option to use a variety of methods to determine the performance level of programs, projects, researchers and research institutions.

Studies related to the measurement of research activity are a constant factor in practically all knowledge fields, whether to elaborate classifications of academic journals, institutions or authors, or to employ it as an explanatory variable in various types of applied studies, such as those aimed at measuring university productive efficiency, national economic growth, technological policy, industry location, behavior of R&D-intensive industries, etc. (Gómez-Sancho & Mancebón-Torrubia, 2009).

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