The Journal of Society for e-Business Studies (한국전자거래학회지)

Society for e-Business Studies (한국전자거래학회)
권호 표지
DOI QR코드

DOI QR Code

A Study of PD System Effectiveness based on R&D Network Analysis

R&D 네트워크 분석을 통한 PD 제도 효과 연구

  • Park, Mi-Yeon (Process of technology policy cooperation, Yonsei University) ;
  • Lee, Sangheon (Department of Information and Industrial Engineering, Yonsei University) ;
  • Shen, Hongme (Department of Information and Industrial Engineering, Yonsei University) ;
  • Leem, Choon Seong (Department of Information and Industrial Engineering, Yonsei University) ;
  • Kim, Wooju (Department of Information and Industrial Engineering, Yonsei University)
  • Received : 2015.06.08
  • Accepted : 2015.08.19
  • Published : 2015.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Examined how it varied the knowledge network of the country along with R&D changes in planning policy for the research and development of government. Therefore, in this study, chronological Analysis analyzed separately the network between each entity of participate in the industry fusion source technology development business of industry trade and Energy. Planning policy of industrial fusion source technology development business, to change the starting point before and after 2012, before 2012 from selected planning issues at the center "planning committee" and in 2012 'PD' changes to a system for planning issues around. First of all, an attempt to analyze the R&D network based on the "planning committee" current situation of 2009~2011, from 2012 to analyze the variation of the R&D network with the introduction of the 'PD' system after it was analyzed by dividing the time in the current state of up to 2013. The results of the analysis, since the PD system was introduced, such as self-relationship (the form of planning user to run directly challenges the person was planning to challenge participants)is greatly improved, I was able to grasp the effect became clear. The more the self-relation, and the budding scholars considering that there is inequality of the planning, the introduction of the PD scheme, it can be seen to have resulted in a positive effect. These studies, quantitatively analyzed to improve the results to the effects associated with changes in the planning policy of the government, I think that there is a meaning in terms of presenting the future direction of R&D policy.

정부의 연구개발에 대한 기획 정책이 변화함에 따라 국가 R&D 지식 네트워크가 어떻게 변동하였는지에 대해 살펴보고자 한다. 이를 위해 본 연구는 산업통상자원부의 산업융합원천 기술개발사업에 참여하는 각 주체들 간의 네트워크를 시기별로 분석하였다. 산업융합원천기술개발사업의 기획 정책은 2012년 전후를 기점으로 바뀌게 되는데 2012년 이전에는 '기획위원' 중심으로 기획 과제를 선정하다가 2012년 이후에는 'PD' 중심으로 과제를 기획하는 시스템으로 바뀐다. 이에 따라 우선, '기획위원' 제도에 따른 R&D 네트워크를 분석하고자 2009년부터 2011년까지의 현황을 살펴보고, 이후 'PD' 제도도입에 따른 R&D 네트워크 변동을 분석하고자 2012년부터 2013년까지의 현황으로 시기를 나누어 분석하였다. 분석 결과 PD 제도 도입 이후 셀프관계(기획자가 본인이 기획한 과제를 과제 참여자로 직접 수행하는 형태)가 대폭 개선되는 등 효과가 나타났음을 파악할 수 있었다. 셀프관계가 많을수록 신진학자에게는 기획의 불평등이 존재한다는 점을 고려할 때 PD 제도의 도입은 긍정적인 효과를 가져왔다고 볼 수 있다. 이러한 연구는 정부의 기획 정책 변화에 따른 효과를 계량적으로 분석하여 성과를 제고하고 향후 R&D정책의 방향을 제시한다는 점에서 의미가 있다고 본다.

Keywords

References

  1. Ahuja, M. K., Galletta, D. F., and Carley, K. M., "Individual Centrality and Performance in Virtual R&D Groups: An Empirical Study," Management Science, Vol. 49, No. 1, pp. 21-38, 2003. https://doi.org/10.1287/mnsc.49.1.21.12756
  2. AllegroGraph, "Semantic Graph Technologies -AllegroGraph," http://franz.com/agraph/allegrograph/, accessed Nov 01, 2014.
  3. Breschi and Lissoni, "Mobility and Social Networks: Localised Knowledge Spillovers Revisited," DRUID Winter conference, 2003.
  4. Coulon, F., "The use of Social Network Analysis in Innovation Research: A Literature Review," Lund University, 2005.
  5. Gephi, "Gephi-makes graphs handy," http://gephi.github.io/, accessed Jan 01, 2015.
  6. Giulliani & Bell, "When micro shapes the meso: learning networks in a Chilean wine cluster," SPRU working paper, 2004.
  7. Kang, S. H., Lee, H. J., Leem, C. S., "Analysis of Individual Capability Factors to Improve Business Performance in the Environment of Technological Convergence," The Journal of Society for e- Business Studies, Vol. 15, No. 3, pp. 183- 193, 2010.
  8. Kim, T., "A study on the Effect of Evaluators' Network on the Efficiency of Nuclear Program in Korean R&D Program," Journal of Korea technology innovation society, Vol. 13, No. 4, 2010.
  9. Kim, Y., "Social Network Theory," Park Young Sa Publishers, 2003.
  10. Muller and Penin, "Why do firms disclose knowledge and how does it matter?," DRUID summer conference, 2004.
  11. MySQL, "The world's most popular open source database," http://www.mysql.com/, accessed Nov 01, 2014.
  12. Ouimet, M., Landry, R., and Amara, N., "Network Positions and Radical Innovation: a social network analysis of the Quebec optics and photonics cluster," DRUID Summer conference, 2004.
  13. Owen-Smith, J., Riccaboni, M., Pammolli, F., and Powell, W. W., "A comparison of U.S. and European University-Industry Relations in the Life Sciences," Management Science, 2001.
  14. Paci and Batteta, "Innovation networks and knowledge flows across the european regions," CRENS Working Paper, 2003.
  15. Shan, Walker, and Kogut, "Interfirm Cooperation and Startup Innovation in the Biotechnology Industry," Strategic Management Journal, Vol. 15, pp. 387-394, 1994. https://doi.org/10.1002/smj.4250150505
  16. Son, D., "Society Network Analysis," KyungMoon Publishers, 2002.
  17. Song, Y. U., Park, S. U., Kim, W. J., "A Study on the Validity of the Infrastructure Construction Cost for the Commercialization of Online Electric Vehicles," The Journal of Society for e-Business Studies, Vol. 18, No. 1, 2013.
  18. Song, H., Kim, W., and Lee, J., "Network Study of Korea," Seoul National University Publishing Division, 2004.
  19. SPSS, "Predictive Analytics software," http://www.spss.co.in/index.aspx, accessed Feb. 01, 2015.