摘要
[目的/意义]在科技评价中,不同评价指标的重要性和地位是不同的,采用科学合理的方法进行关键指标的测度具有重要意义。[方法/过程]用指标信息熵和离散系数表示信息量,用指标权重或模拟权重与指标信息量的几何平均值表示关键指标系数。以JCR 2015经济学期刊为例,采用TOPSIS进行评价,并计算指标的信息量、模拟权重和关键指标系数,发现特征因子、标准特征因子、总被引频次是关键指标。[结果/结论]研究表明,关键指标系数是一种有效的关键指标筛选方法;不同评价方法关键指标是不一样的;本方法同样适用于采用信息量赋权的评价方法;防止遗漏重要指标,保证评价指标的完备性是本文方法的前提条件;关键指标是双刃剑,既是科技管理工作的重要抓手,也要防止其中的不正当竞争。
[ Purpose/significance ] Different evaluating indexes have different degrees of importance and various statuses in the evaluation of science and technology; therefore, it＇ s significant to adopt a scientific and reasonable method to evaluate key indexes. [ Method/process ] This paper applied the index information entropy and discrete coefficient to express the quantity of information, and used the index weight or the geometrical mean of the simulated weight and the index information to express the key index coefficient. By characteristic factors, standard characteristic factors taking JCR2015 economic journals for instance, it could be found that and total cited frequency were the key indexes when taking TOPSIS for an example to evaluate and calculate the information quantity, simulated weight and the key index coefficient of the indexes. [ Result/conclusion ] The research shows that the key index coefficient is an effective measure to screen the key indexes. The key indexes of various evaluation methods are different. This method is applicative to the evaluation methods which apply information quantity to give the weight. The key index is a double-edged sword which is an important handle in science and technology management, but we should avoid its illicit competition.
作者
俞立平
Yu Liping(School of Management Engineering and Electronic Business, Zhejiang Gongshang University, Hangzhou 310018)
出处
《图书情报工作》
CSSCI
北大核心
2017年第18期93-97,共5页
Library and Information Service
关键词
科技评价
关键指标系数
信息量
模拟权重
evaluation of science and technology key index coefficient information quantity simulated weight
