Bibliometric Analysis Of China’s E-government Research

The China’s academia has experienced30years of theoretical exploration sinceinformation and communication technology was used in the government aimed toimprove government management from1993. The China’s academia has accumulateda wealth of research results. The documents on summary of the e-governmentresearch searched from CNKI suggest that there are significant regional differenceson research methods. Some academic use co-word analysis and keyword statistics onthe research of e-government. Foreign e-government research has features thatresearch methods diversification, research topics centralization and research highassociation. Domestic academic summed up the e-government research based onkeyword analysis.Summary of the previous e-government documents emphasized different anglesand contents, and most of the documents concluded from empirical data using similarexperience research. Judging from the existing documents on summary ofe-government, academia payed littile attention on correlations between the documents.From the correlation between the documents, we can find the knowledge distributionand internal structure on the e-government research, which can be found that theconcerns and concentrations of different fields and the correlation between theresearch of the different fields, and summarize the status and trends of the academicstudy of e-government more comprehensively.Document co-citation analysis method can show the intuitive structure of a fieldof research drawing with the statistical analysis tools. Comparing with the traditionalresearch methods such as academic subjective induction and interviews induction,document co-citation analysis is more objective. Document co-citation analysis hasbeen widely applied to different areas of research, and the ways of documentsselection and texts analysis are roughly same. This graduation thesis has madeimprovements on the existing document co-citation analysis method, and the new method maximize the value of the China’s e-government research. One of the bestmethod is the document co-citation analysis.This thesis used customized rules to classify documents based on the existingsocial network analysis results. The correctness of the classification was verified bytext analysis, and the availability of document co-citation analysis method in thee-government research was preliminarily verified. By analyzing the document issuedon CSSCI magazines from1998to2010, It was found that E-government research ofChina’s academia is focused on seven areas:(1) E-government and governmentreinvention;(2) E-government performance evaluation;(3) government websitesconstruction and their evaluation;(4) digital City;(5) the digital divide;(6)exploration of information resources;(7) the sharing of information resources. Threeof the seven research areas, e-government and government reinvention, governmentwebsites construction and their evaluation, the digital divide are mainly focused bythe document used for co-citation analysis. The three research areas were accountedfor41.4%,14.6%and18%of total co-citation document, respectively. The studyalso found that in nearly30years of research on e-government, some relatively stableresearch teams have been formed. It indicates that China’s e-government research hasformed a trend of teams’ study.