Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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Investigation of Research Trends in Information Systems Domain Using Topic Modeling and Time Series Regression Analysis

토픽모델링과 시계열회귀분석을 활용한 정보시스템분야 연구동향 분석

  • Kim, Chang-Sik (Graduate School of Business IT, Kookmin University) ;
  • Choi, Su-Jung (Graduate School of Business IT, Kookmin University) ;
  • Kwahk, Kee-Young (College of Business Administration/Graduate School of Business IT, Kookmin University)
  • 김창식 (국민대학교 비즈니스IT전문대학원) ;
  • 최수정 (국민대학교 비즈니스IT전문대학원) ;
  • 곽기영 (국민대학교 경영대학/비즈니스IT전문대학원)
  • Received : 2017.09.01
  • Accepted : 2017.10.25
  • Published : 2017.10.31
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Abstract

The objective of this study is to examine the trends in information systems research. The abstracts of 1,245 articles were extracted from three leading Korean journals published between 2002 and 2016: Asia Pacific Journal of Information Systems, Information Systems Review, and The Journal of Information Systems. Time series analysis and topic modeling methods were implemented. The topic modeling results showed that the research topics were mainly "systems implementation", "communication innovation", and "customer loyalty". The time series regression results indicated that "customer satisfaction", "communication innovation", "information security", and "personal privacy" were hot topics, and on the other hand, "system implementation" and "web site" were the least popular. This study also provided suggestions for future research.

본 연구의 목적은 국내에서 2002년부터 2016년까지 출판된, 대표적인 정보시스템분야 저널의 연구동향을 조사하는 것이다. 연구의 목적을 달성하기 위해서 Asia Pacific Journal of Information Systems, Information Systems Review, The Journal of Information Systems에 출판된 논문의 초록 1,245편을 분석 하였다. 본 연구에서는 최근 중요하게 다루어지는 토픽모델링과 시계열회귀분석 기법을 활용하였다. 토픽모델링 분석결과, 20개의 토픽이 도출되었고 "시스템구축", "혁신역량", 및 "고객충성도" 등의 순으로 확인되었다. 둘째, 시계열회귀분석 결과, 상승 추세를 나타내는 토픽으로는 "고객충성도", "소통혁신", "정보보호", 및 "개인정보보호" 가 나타났고, 하락 추세를 나타나는 토픽으로는 "시스템구축" 및 "웹사이트" 가 도출되었다.

Keywords

References

  1. K. H. Lee, H. J. Jung and M. Song, "Weighted Subject - Method Network Analysis of Library and Information Science Studies," Journal of The Korean Society for Library and Information Science, Vol. 49, No. 3, pp. 457-488, 2015. https://doi.org/10.4275/KSLIS.2015.49.3.457
  2. H. J. Kim, W. I. Park and C. S. Kim, "An Analysis of Trend of MICE Study using Language Network," Journal of Tourism & leisure research, Vol. 28, No. 3, pp. 199-217, 2016.
  3. J. S. Park, C. S. Kim and K. Y. Kwahk, "Investigation of Research Trend in Hotel Domain Using Text Mining and Social Network Analysis," Journal of Tourism & leisure research, Vol. 28, No. 9, pp. 209-226, 2016.
  4. D. M. Blei, "Probabilistic topic models," Communications of the ACM, Vol. 55, No.4, pp. 77-84. 2012. https://doi.org/10.1145/2133806.2133826
  5. M. Steyvers and T. Griffiths, Probabilistic topic models, in Handbook of latent semantic analysis, Vol. 427, No.7, pp. 424-440, 2007.
  6. S. J. Yang, B. Y. Lee and H. W. Kim, "A Topic Modeling Approach to the Analysis of Happiness and Unhappiness," Knowledge Management Research, Vol.17, No.2, pp. 165-185, 2016. https://doi.org/10.15813/kmr.2016.17.2.007
  7. J. S. Kim, E. J. Kwon and T. M. Song, "a Study on Using Social Big Data for Expanding Analytical Knowledge -Domestic Big Data supply-demand expectation," Knowledge Management Research, Vol. 15, No. 3, pp. 169-188, 2014.
  8. K. R. Kim, H. J. Song and N.M. Moon, "Topic modeling for automatic classification of learner question and answer in teaching-learning support system," Journal of Digital Contents Society, Vol. 18, No. 2, pp.339-346, 2017. https://doi.org/10.9728/dcs.2017.18.2.339
  9. R. Albright, Taming Text with the SVD. SAS Institute Inc., North Carolina: NC, Cary, 2004.
  10. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, "Indexing by latent semantic analysis," Journal of the American society for information science, Vol. 41, No. 6, pp. 391. 1990. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
  11. S. T. Dumais, G. W. Furnas, T. K. Landauer, S. Deerwester and R. Harshman, "Using latent semantic analysis to improve access to textual information," In Proceedings of the SIGCHI conference on Human factors in computing systems, ACM. pp. 281-285, May, 1988.
  12. H. Y. Kwon, J. E. Kim and Y. T. Park, "Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology," Technovation, 2017.
  13. G. E. Forsythe, C. B. Moler, and M. A. Malcolm, Computer methods for mathematical computations, Englewood Cliffs, NJ: Prentice-Hall, 1977.
  14. N. Evangelopoulos, X. Zhang, and V. R. Prybutok, "Latent semantic analysis: five methodological recommendations," European Journal of Information Systems, Vol. 21, No.1, pp.70-86. 2012. https://doi.org/10.1057/ejis.2010.61
  15. D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," Journal of machine Learning research, ch. 3, pp. 993-1022, January 2003.
  16. J. S. Hyun, C. Y. Ko and K. E. Lee, "The Retrospect and Prospect on Korean Business Administration Literatures : Focused on KBR," Korea Business Review, Vol. 20, No.3, pp. 131-153, 2016. https://doi.org/10.17287/kbr.2016.20.3.131
  17. I. S. Son and J. S. Kim, "Analysis of Trends in Research to Korean Strategic Alliance : Focused on the Korean and International Major Journals," The Journal of Internet Electronic Commerce Resarch, Vol. 15, No. 3, pp. 85-109, 2015.
  18. W. G. Shim, "A Study on the Domestic Research Trend of Educational Service Quality," Korean Review of Corporation Management, Vol. 6, No. 1, pp. 55-76, 2015.
  19. D. J. Kang and K. N. Lee, "A Study on Co-authorship Networks in Journal of Korea Trade Research Association using Social Network Analysis," Korea trade review, Vol. 40, No. 5, pp. 1-23, November 2015.
  20. S. K. Hong, "Bibliometric Analysis on Research Trends of Service Management," Journal of Korea Service Management Society, Vol.17, No. 3, pp. 133-149, 2016. https://doi.org/10.15706/jksms.2016.17.3.007
  21. S. J. Lee, "Research Trends of Korean Journalism and Communication Studies Using a Semantic Network Analysis," Journal of the Korea Contents Association, Vol.16, No.7, pp. 179-189, 2016. https://doi.org/10.5392/JKCA.2016.16.07.179
  22. S. D. Yang, "Semantic Network Analysis of Research Trend Related to Private Security," Journal of the Korea Contents Association, Vol.13, No. 11, pp. 894-901, 2013. https://doi.org/10.5392/JKCA.2013.13.11.894
  23. Y. B. Jung and E. S. Park, "Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining," Tunnel & Underground Space, Vol. 25, No. 4, pp. 303-319, 2015. https://doi.org/10.7474/TUS.2015.25.4.303
  24. J. Y. Lee, J. Y. Moon and H. J. Kim, "Examining the Intellectual Structure of Records Management & Archival Science in Korea with Text Mining," Journal of The Korean Society for Library and Information Science, Vol. 41, No. 1, pp. 345-372, 2007. https://doi.org/10.4275/KSLIS.2007.41.1.345
  25. S. H. Seo and H. Y. Lee, "Fintech trend analysis using topic modeling of BM patents," The Korean Institute of Industrial Engineers, Seoul, pp. 471-480, 2015.
  26. H. C. Kang, Data mining methodology for big data analysis, Free academy, 2014.
  27. K. H. Lee and K. Y. Kwahk, "Effects of Word-of-Mouth and Assurance on Trust in the Internet Shopping Mall Environments: The Moderation Effect of Ease of Product Evaluation," Knowledge Management Research, Vol. 15, No. 3, pp. 141-168, 2014.
  28. S. H. Jeon and K. Y. Kwahk, "Effects of Justice and Authenticity on Recovery Satisfaction in the Electronic Commerce Environments: The Moderation Effects of Involvement," Knowledge Management Research, Vol. 16, No. 1, pp.71-93, 2015. https://doi.org/10.15813/kmr.2015.16.1.004
  29. T. L. Griffiths and M. Steyvers, "Finding scientific topics," in Proceedings of the National academy of Sciences, Vol. 101, No. 2, pp. 5228-5235, April 2004. https://doi.org/10.1073/pnas.0307752101

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