摘要
【目的】通过分析中国农产品品牌评价领域的文献题名总结该领域的研究现状。【方法】对该领域的文献题名进行K-means聚类,分析每簇研究的重点内容,分别使用因子分析、多维尺度分析和层次聚类分析进一步解析聚类得到的每簇文献的特点。【结果】文献数量总体呈现"M"型趋势,文献多采用模糊综合法,从多个评价角度集中探讨评价指标体系、评价模型、影响因素等方面。【局限】仅针对题名进行分析,未涉及关键词与摘要文本。【结论】聚类结果较好地揭示了中国该领域的研究现状,但没有反映出种类农产品、Interband品牌评估法相关内容。
[Objective] This paper analyzes titles of research evaluating brands of agriculture products in China, aiming to summarize the latest developments in this field. [Methods] First, we used the k-means to cluster the retrieved titles. Then, we employed factor analysis, multidimensional scale analysis, and hierarchical clustering analysis to examine the data. [Results] We found the total number of articles published each year, as well as research topics, brand types, evaluation methods and perspectives, and impact factors of these studies. [Limitations] We did not examine keywords and abstracts of the selected literature. [Conclusions] The results of clustering reveals the developments of related research. However, our study does not discuss types of products and methods of interband evaluations.
作者
王雪颖
张紫玄
王昊
邓三鸿
Wang Xueying Zhang Zixuan Wang Hao Deng Sanhong(School of Information Management, Nanjing University, Nanjing 210023, China Jiangsu Key Laboratory of Data Engineering and Knowledge Service （Nanjing University）, Nanjing 210023, China)
出处
《数据分析与知识发现》
CSSCI
CSCD
2017年第7期13-21,共9页
Data Analysis and Knowledge Discovery
基金
国家社会科学基金项目"以创新和质量为导向的哲学社会科学评价体系实证研究"(项目编号:12BTQ037)
国家自然科学基金青年项目"面向学术资源的TSD与TDC测度及分析研究"(项目编号:71503121)的研究成果之一
关键词
农产品品牌评价
K-MEANS聚类
层次聚类分析
因子分析
多维尺度分析
Brand Evaluation of Agricultural Products K-means Clustering Hierarchical Cluster Analysis（HCA）Factor Analysis （FA） Multidimensional Scaling
