Mapping the research trends by co-word analysis based on keywords from funded project

被引:169
作者
Chen, Xiuwen [1 ,2 ]
Chen, Jianming [1 ]
Wu, Dengsheng [1 ]
Xie, Yongjia [1 ]
Li, Jing [3 ]
机构
[1] Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100190, Peoples R China
[3] Anhui Univ, Sch Management, Hefei 230039, Peoples R China
来源
PROMOTING BUSINESS ANALYTICS AND QUANTITATIVE MANAGEMENT OF TECHNOLOGY: 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2016) | 2016年 / 91卷
关键词
word analysis; Fund project; social network analysis; Management Science and Engineering; INFORMATION-SCIENCE; CHINA;
D O I
10.1016/j.procs.2016.07.140
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, a co-word method based on keywords from funded project is proposed to map the research trends. Firstly, the keywords of funded project are used to describe the rsearch topic statistically. Then, co-word analysis, including cluster analysis, social network analysis, is adopted to study the relationship of each research topic. The projects of Management Science and Engineering in National Natural Science Foundation of China during 2011-2015 are collected as the empirical data. The data is composed of General Project, Youth Project, and Regional Project. The results show that the focus of researches are Game Theory, Supply Chain Management, Complex Network, Data Mining, Optimize, Risk Management, and Data Envelopment Analysis. Moreover, Game Theory, Supply Chain Management, and Data Mining are hot topics. The research fields in Management Science and Engineering in China are varied, and the well developed and core research fields are fewer. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:547 / 555
页数:9
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