DOI QR코드

DOI QR Code

The Analyses of Research Productivity and Review Efficiency for IT Related Journal

IT 분야 학술지의 연구 생산성 및 심사 효율성 분석

  • Received : 2014.07.24
  • Accepted : 2014.09.27
  • Published : 2014.12.31

Abstract

Interests on collaborative research and academic relationship among researchers have been increased. Collaborative researchers can maximize productivity, time and cost savings, and reduce the risk of research. An empirical study on the research productivity of co-authors' network and review efficiency of the reviewer network was conducted based on co-author networks and reviewer networks in Korea Society of IT Service. This study aims to find the characteristics of the co-author and reviewer networks, and to analyze research productivity and review efficiency in order to draw some implications. The meaning of interactions among professional groups was analyzed. Research productivity index was calculated using 728 authors' papers submitted to the society. In order to verify the effects of indicators of social network analysis on research productivity and review efficiency, correlation and regression analyses were used. As a result, the indicators of network centrality did not affect the review efficiency, but affect the research productivity.

Keywords

References

  1. Anderson, C., The long tail : Why the future of business is selling less of more, Hachette Digital, Inc., 2006.
  2. Bradford, S.C., "Sources of information on specific subjects", Journal of Information Science, Vol.10, No.4, 1985, 173-180. https://doi.org/10.1177/016555158501000406
  3. Dannefer, D., "Cumulative advantage/disadvantage and the life course : crossfertilizing age and social science theory", Journals of Gerontology Series B Psychological Sciences and Social Sciences, Vol.58, No.6, 2003, 327-337. https://doi.org/10.1093/geronb/58.6.S327
  4. Heo, M.H., Introduction to Social Nework Analysis using R, Free Academy, 2010.
  5. Jeon, C.Y., "Bad to Good, Good to Great", Korea Institute of Brain Science, Vol.25, 2010, 28-31.
  6. Kim, M.S., J.W. Choi, and H.J. Kim, "The Framework of Research Network and Performance Evaluation on Personal Information Security : Social Network Analysis Perspective", Journal of Intelligence and Information Systems, Vol.20, No.1, 2014a, 177-193. https://doi.org/10.13088/jiis.2014.20.1.177
  7. Kim, Y.Y., "A study on the impact of the centrality of Co-authorship network on author productivity", Busan University Graduation school, 2011, 1-95.
  8. Kim, I.J., J.W. Choi, K.H. Kim, and G.Y. Min, "Social Network Analysis of Professional Groups based on Co-author and Review Networks", Korea IT service society, Vol.13, No.1, 2014b, 181-196. https://doi.org/10.9716/KITS.2014.13.1.181
  9. Kim, W.J., K.R. Noh., J Seo, and H.J. Lee, "A Study on Evaluation of Ideces an Individual's Scientific Productivity Using Author Rank", Korea Contents Association, Vol.5, No.1, 2007, 468-472.
  10. Lee, M.H., M.R. Park., H.J. Lee, and S.H. Jin, "General Applied Statistics : Analysis of Papers in the Korean Journal of Applied Statistics by Co-Author Networks Analysis", The Korean Journal of Applied Statistics, Vol.24, No.6, 2011, 1259-1270. https://doi.org/10.5351/KJAS.2011.24.6.1259
  11. Lee, S.S., "A Preliminary Study on the Co-author Network Analysis of Korean Library and Information Science Research Community", Korean LIS Research Community, Vol.41, No.2, 2010, 297-315. https://doi.org/10.16981/kliss.41.2.201006.297
  12. Lim, B.H., "An Effect of Co-authorship Network on Research Performance : Focusing on Coauthoring of Logos Management Review", Logos Management Review, Vol.10, No.1, 2011a, 1-20.
  13. Lim, B.H., "Using Social Network Analysis to Measure Network Structure of Coauthored People in istics Logistics : Focusing on Korean Logistics Review", Korea Logitics Research Association, Vol.21, No.2, 2011b, 205-229.
  14. Lim, B.H., "Structure of Collaboration Network among Korean Scientists-'Small World' and Position Effect", Korea Journal of Society, Vol.41, No.4, 2007, 68-103.
  15. Lotka, A.J., "The frequency distribution of scientific productivity", Journal of the Washington Academy of Sciences, Vol.16, No.12, 1926, 317-324.
  16. Malin, B. and K. Carley, "A longitudinal social network analysis of the editorial boards of medical informatics and bioinformatics journals", Journal of the American Medical Informatics Association, Vol.14, No.3, 2007, 340-348. https://doi.org/10.1197/jamia.M2228
  17. Milgram, S., "The Small World Problem", Psychology Today, Vol.1, No.1, 1967, 61-67.
  18. Newman, M.E.J., "Scientific collaboration networks II. Shortest paths, weighted networks, and centrality", Physical Review E, Vol.64, No.1, 2001, 016132-1-016132-6. https://doi.org/10.1103/PhysRevE.64.016132
  19. Pareto, Vilfredo., Cours d'economie politique, Librairie Droz, 1964.
  20. Park, S.H., "The new paradigm of long tail marketing-From pareto to Logtail!, Longtail?", Korea Institute of Marketing, Vol.44, No.2, 2010, 12-15.
  21. Son, D.W., Social Nework Analysis, Kyong Moon Press, 2002.