Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Detecting Research Trends in Korean Information Science Research, 2000-2011

국내 정보학분야 연구동향 분석, 2000-2011

  • Seo, Eun-Gyoung (Division of Knowledge & Information at Hansung University) ;
  • Yu, So-Young (Dept. of Library & Information Science at Hannam University)
  • Received : 2013.11.27
  • Accepted : 2013.12.13
  • Published : 2013.12.30
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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 $21^{st}$ century.

21세기에 들어서서 디지털 정보환경이 발빠르게 변화함에 따라 국내 정보학 연구 역시 많은 발전과 변화를 겪고 있는 것을 산학계 모두 인지하고 있지만 실제 2000년부터 현재까지 어느 정도로 변화되었는지를 분석한 논문은 많지 않다. 이에 따라 본 연구는 2000년에서부터 2011기간동안 연구재단에 등재된 문헌정보학 관련 학회지에 수록된 정보학분야 논문 1,007편의 논문을 대상으로 정보학분야의 연구동향을 분석하였다. 먼저 시간에 따른 연구주제의 변화를 살펴보기 위하여 논문 데이터를 주제 범주화 한 후, 각 주제 범주 내에서의 논문 및 주요 키워드의 성장률을 시계열적으로 분석하였다. 그리고 단어 동시출현 네트워크를 2000-2011년뿐 아니라 2000-2005년과 2006-2011년의 두 시기로 나누어 시각화하고 분석함으로써, 한국의 정보학 분야의 연구경향의 변화를 살펴보았다. 분석 결과, 지난 12년간의 한국의 정보학 연구는 정보시스템중심적 연구에서 이를 도서관에 적용하는 도서관응용적 연구로 나아가고 있는 것을 확인하였다. 특히 지식관리, 웹기반 시스템 평가, 정보검색 분야에서 두드러지게 변화가 나타났다. 다른 연구의 결과와 비교해 볼 때, 이 연구는 정보학 연구분야의 한국 로컬화의 변화를 찾아냈다는 점에서 의의가 있다고 할 수 있다.

Keywords

Acknowledgement

Supported by : Hansung University

References

  1. Chu, C., & Wolfram, D. (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., & Yang, C. C. (2008). The shift towards multi-disciplinarity in information science. Journal of the American Society for Information Science and Technology, 59(13), 2156-2170. http://dx.doi.org/10.1002/asi.20929
  3. Cho, J. (2011). A study for research area of library and information science by network text analysis. Journal of the Korean Society for Information Management, 28(4), 65-83. http://dx.doi.org/10.3743/KOSIM.2011.28.4.065
  4. Hansen, D., Shneiderman, B., & Smith, M. A. (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. https://doi.org/10.1002/1532-2890(2000)52:1<44::AID-ASI1057>3.0.CO;2-6
  6. Huang, M.-H., & Chang, Y.-W. (2011). A study of interdisciplinarity in information science: Using direct citation and co-authorship analysis. Journal of Information Science, 37(4), 369-378. http://dx.doi.org/10.1177/0165551511407141
  7. Kang, S.-S. (2002). Korean morphemes analysis and information retrieval. Seoul: Hong-Rung Scientific Pub.
  8. Kim, P. J., & Lee, J. Y. (2007). Descriptor profiling for research domain analysis. Journal of the Korean Society for Information Management, 24(4), 285-303. http://dx.doi.org/10.3743/KOSIM.2007.24.4.285
  9. Lee, J. Y., & Choi, S. (2011). Intellectual structure and infrastructure of informetrics: Domain analysis from 2001 to 2010. Journal of the Korean Society for information Management, 28(2), 11-36. http://dx.doi.org/10.3743/KOSIM.2011.28.2.011
  10. Lee, J. Y., Kim, P. J., Kang, D. S., Kim, H. J., Yu, S. Y., & Lee, W. H. (2011). A bibliometric analysis on LED research. Journal of Information Management, 42(3), 1-26. http://dx.doi.org/10.1633/JIM.2011.42.3.001
  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. http://dx.doi.org/10.1016/j.acalib.2009.12.003
  12. NWB Team (2006). Network Workbench Tool. Indiana University, Northeastern University, and University of Michigan. Retrieved from http://nwb.slis.indiana.edu
  13. Oh, S.-H., & Lee, D.-Y. (2005). Research trends of information science in Korea. Journal of Korean Society of Information Management, 22(1), 167-189. http://dx.doi.org/10.3743/KOSIM.2005.22.1.167
  14. Park, J.-H., & Song, M. (2013). A study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for Information Management, 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. http://dx.doi.org/10.1108/00220410910970267
  16. Rorissa, A., & Yuan, X. (2012). Visualizing and mapping the intellectual structure of information retrieval. Information Processing and Management, 48(1), 120-135. http://dx.doi.org/10.1016/j.ipm.2011.03.004
  17. Schvaneveldt, R. W. (Ed.) (1990). Pathfinder associative networks: Studies in knowledge organization. Norwood, NJ: Ablex.
  18. Seadle, M. (2012). Library Hi Tech and information science. Library Hi Tech, 30(2), 205-209. http://dx.doi.org/10.1108/07378831211239915
  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. Seo, E.-G. (2010a). Longitudinal analysis of information science research in JASIST 1985-2009. Journal of Korean Society of Information Management, 27(2), 129-155. http://dx.doi.org/10.3743/KOSIM.2010.27.2.129
  21. Seo, E.-G. (2010b). Trends analysis on research articles in the Journal of Korean Society for Information Management. Journal of Korean Society of Information Management, 27(4), 7-32. http://dx.doi.org/10.3743/KOSIM.27.4.007
  22. Sohn, J.-P. (2003). An analytical study on research trends of library and information science in Korea: 1957-2002. Journal of Korean Library and Information Science Society, 34(3), 9-32.
  23. Tsay, M.-y., & Shu, Z.-y. (2010). Journal of bibliometric analysis: The case study on the Journal of Documentation. Journal of Documentation, 67(5), 806-822. http://dx.doi.org/10.1108/00220411111164682
  24. White, H. D., & McCain, K. W. (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(1-2), 52-66. http://dx.doi.org/10.1353/ils.2012.0005
  26. Zhao, D., & Stromann, A. (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. http://dx.doi.org/10.1002/asi.v59:6
  27. Zins, C. (2007). Knowledge map of information science. Journal of the American Society for Information Science and Technology, 58(4), 524-535. http://dx.doi.org/10.1002/asi.20505

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