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http://dx.doi.org/10.22156/CS4SMB.2020.10.07.122

Bibliometric Analysis on the Research Trends in Journal of Convergence for Information Technology  

Kim, Shin-Hee (Dept. of LINC+Project Department, KonKuk University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.7, 2020 , pp. 122-130 More about this Journal
Abstract
The purpose of this study is to identify current states and trends of convergence researches by conducting a bibliometric analysis of the papers in the Convergence Society for SMB. After 792 papers from 2012 to 2019 were collected, we analyzed network analysis by using centrality through extracting of nouns and compound nouns with text mining and 3 times of pre-processing and purification processing. According to the results, first, quantitative and qualitative aspects of the researches since 2016 improved, studies focused on words such as influence, convergence, mediating effect, satisfaction, and effect. Second, in the first half (2012-2015), engineering and technical studies were intensively conducted based on topics such as information, system, and security. Third, in the period of the second half (2016-2019), the research scope was expanded to college students, parents, teenagers under the topics of job, self-efficacy, education, satisfaction, depression, and stress. The results of this study are meaningful in identifying existing research trends and in providing information which requires the expansion of new research areas.
Keywords
Bibliometric analysis; Journal of Convergence for Information Technology; Research trend; Network analysis; Centrality;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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