Evaluation of the quality and quantity of research results in higher education
Evaluation of the quality and quantity of research results in higher education
复制标题
DOI：
10.1007/s11135-016-0452-9
复制
发表时间：
2016-11
影响因子：
--
通讯作者：
A. Bucur;C. Kifor;S. Mărginean
中科院分区：
文献类型：
--
作者：
A. Bucur;C. Kifor;S. Mărginean
在当今的竞争环境中，对高等教育研究成果的质量和数量进行评估，无论是在机构层面还是个人层面，都已成为必须。大学使用在国家或国际层面验证的成套指标来衡量研究成果并设定目标，但有时它们需要更合适的特定系统来实现其战略目标。基于罗马尼亚一所中型大学使用的评估系统，在本文案例研究的第一部分中，从数学上证明，由于学术人员行为的变化，测量本身对研究成果的动态性产生了很大的影响。该模型可以应用于不同大学使用的任何指标集并进行定制，我们的结果证明，一套好的指标可以成为提高大学研究绩效并实现特定目标和战略目标的有用工具。在案例研究的第二部分，我们试图回答以下问题：在一组用于量化高等教育研究活动的指标中，哪些是关键指标？为了找到这个问题的答案，我们将高等教育研究指标的层次化这一话题作为一个多标准决策问题。案例研究中使用的标准是来自国家预算和其他来源的资金，以及研究结果在国家和国际上的知名度。
The evaluation of the quality and quantity of research results in higher education, both at an institutional and an individual level, has become a must in today’s competitive environment. Universities use sets of indicators validated at national or international level, in order to measure research results and to set goals, but sometimes they need specific systems that are more appropriate in order to reach their strategic objectives. Based on the system of evaluation used by a Romanian medium-sized university, in the first part of the case study from this article, it is mathematically proven that the measurement itself has a great impact on the research results’ dynamics because of the changing behaviour of the academic staff. The model could be applied and customized to any set of indicators used by different universities, and our results prove that a good set of indicators could be a useful tool to increase research performance and to achieve specific goals and strategic objectives in universities. In the second part of the case study, we tried to answer the following question: From a set of indicators used to quantify research activity in higher education, which ones are critical indicators? In order to find an answer to this question, we used the topic of hierarchization of the research indicators in higher-education as a multiple-criteria decision-making problem. The criteria used in the case study are funding from the state budget and from other sources, and national and international visibility of the research results.