바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Detecting Research Trends in Korean Information Science Research, 2000-2011

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2013, v.30 no.4, pp.215-239
https://doi.org/10.3743/KOSIM.2013.30.4.215


  • Downloaded
  • Viewed

Abstract

Even though the overall scholarly community has recognized a dramatic growth and changes in the Information Science research in Korea over the last few decades, there are still only few studies that have identified the changes in terms of long-term and dynamic point of view. We have analyzed 1,007 IS-research articles from leading Korean journals in KCI (Korea Citation Index), published between 2000 and 2011. To discern the trendline of changes in research interests over time, we conducted a time-series analysis by developing grounded subject scheme from the article set and checking the growth rate of the number of published articles and title keywords. A comparative analysis was also conducted by constructing and comparing co-word maps over time to discover visible changes in research topics over this 12-year period of the IS-research in Korea. As a result, we identified some developments and transformations in major subject areas and knowledge structure of the IS-research in Korea over time. The major trend we discovered is that IS-studies over the 12-year period evolved from system-oriented research to library-application research. The changes are especially observed in knowledge management, Web-based system evaluation, and information retrieval areas. When compared to the results of other studies, the result of our study may serve as an evidence of the localization of Korean IS-studies in the first decade of the 21st century.

keywords
research trends analysis, co-word analysis, information science, time-series analysis, Korea, 연구동향분석, 단어 동시출현 분석, 정보학, 한국, 시계열분석

Reference

1.

Chu, C.. (1991). A survey of the growth of Canadian research in information science. Canadian Journal of Information Science, 16(1), 12-28.

2.

Chua, A. Y. K.. (2008). The shift towards multi-disciplinarity in information science. Journal of the American Society for Information Science and Technology, 59(13), 2156-2170.

3.

조재인. (2011). 네트워크 텍스트 분석을 통한 문헌정보학 최근 연구 경향 분석. 정보관리학회지, 28(4), 65-83.

4.

Hansen, D.. (2010). Analyzing social media networks with NodeXL: Insights from a connected world:Morgan Kaufmann.

5.

Hawkins, D. T.. (2001). Information Science Abstracts : Tracking the literature of information science. Part 1 : Definition and map. Journal of the American Society for Information Science, 52(1), 44-53.

6.

Huang, M. -H.. (2011). A study of interdisciplinarity in information science : Using direct citation and co-authorship analysis. Journal of Information Science, 37(4), 369-378.

7.

Kang, S. -S.. (2002). Korean morphemes analysis and information retrieval:Hong-Rung Scientific Pub.

8.

김판준. (2007). 연구 영역 분석을 위한 디스크립터 프로파일링에 관한 연구. 정보관리학회지, 24(4), 285-303.

9.

이재윤. (2011). Intellectual Structure and Infrastructure of Informetrics: Domain Analysis from 2001 to 2010. 정보관리학회지, 28(2), 11-36.

10.

이재윤. (2011). 계량서지적 기법을 활용한 LED 핵심 주제영역의 연구 동향 분석. Journal of Information Science Theory and Practice, 42(3), 1-26.

11.

Mukherjee, B.. (2010). Assessing Asian scholarly research in library and information science : A quantitative view as reflected in Web of Knowledge. Journal of Academic Librarianship, 36(1), 90-101.

12.

NWB Team. (2006). Network Workbench Tool. Indiana University, Northeastern University, and University of Michigan. http://nwb.slis.indiana.edu.

13.

오세훈. (2005). 우리나라의 정보학 연구 동향에 관한 연구. 정보관리학회지, 22(1), 167-189.

14.

박자현. (2013). 토픽모델링을 활용한 국내 문헌정보학 연구동향 분석. 정보관리학회지, 30(1), 7-32. http://dx.doi.org/10.3743/KOSIM.2013.30.1.007.

15.

Robinson, L.. (2009). Information science : Communication chain and domain analysis. Journal of Documentation, 65(4), 578-591.

16.

Rorissa, A.. (2012). Visualizing and mapping the intellectual structure of information retrieval. Information Processing and Management, 48(1), 120-135.

17.

Schvaneveldt, R. W.. (1990). Pathfinder associative networks: Studies in knowledge organization:Ablex.

18.

Seadle, M.. (2012). Library Hi Tech and information science. Library Hi Tech, 30(2), 205-209.

19.

Seo, E. -G.. (1997). An analytical study on research patterns in information science. Journal of Korean Society of Information Management, 14(1), 269-291.

20.

서은경. (2010). Longitudinal Analysis of Information Science Research in JASIST 1985-2009*. 정보관리학회지, 27(2), 129-155.

21.

서은경. (2010). 『정보관리학회지』 연구의 동향분석. 정보관리학회지, 27(4), 7-32.

22.

손정표. (2003). 한국의 문헌정보학분야 연구동향 분석 : 1957~2002. 한국도서관·정보학회지, 34(3), 9-32.

23.

Tsay, M. -y.. (2010). Journal of bibliometric analysis : The case study on the Journal of Documentation. Journal of Documentation, 67(5), 806-822.

24.

White, H. D.. (1998). Visualizing a discipline : An author co-citation analysis of information science, 1972-1995. Journal of the American Society for Information Science, 49(4), 327-355.

25.

Wolfram, D.. (2012). An analysis of Canadian contributions to the information science research literature : 1989-2008. Canadian Journal of Information and Library Science, 36(1), 52-66.

26.

Zhao, D.. (2008). Information science during the first decade of the web: An enriched author co-citation analysis. Journal of the American Society for Information Science and Technology, 59(6), 916-937.

27.

Zins, C.. (2007). Knowledge map of information science. Journal of the American Society for Information Science and Technology, 58(4), 524-535.

Journal of the Korean Society for Information Management