A Study of PD System Effectiveness based on R&D Network Analysis
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.
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.
AllegroGraph, “Semantic Graph Technologies -AllegroGraph,” http://franz.com/agraph/allegrograph/, accessed Nov 01, 2014.
Breschi and Lissoni, “Mobility and Social Networks: Localised Knowledge Spillovers Revisited,” DRUID Winter conference, 2003.
Coulon, F., “The use of Social Network Analysis in Innovation Research: A Literature Review,” Lund University, 2005.
Gephi, “Gephi-makes graphs handy,” http://gephi.github.io/, accessed Jan 01, 2015.
Giulliani & Bell, “When micro shapes the meso: learning networks in a Chilean wine cluster,” SPRU working paper, 2004.
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.
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.
Kim, Y., “Social Network Theory,” Park Young Sa Publishers, 2003.
Muller and Penin, “Why do firms disclose knowledge and how does it matter?,” DRUID summer conference, 2004.
MySQL, “The world’s most popular open source database,” http://www.mysql.com/, accessed Nov 01, 2014.
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.
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.
Paci and Batteta, “Innovation networks and knowledge flows across the european regions,” CRENS Working Paper, 2003.
Shan, Walker, and Kogut, “Interfirm Cooperation and Startup Innovation in the Biotechnology Industry,” Strategic Management Journal, Vol. 15, pp. 387-394, 1994.
Son, D., “Society Network Analysis,” KyungMoon Publishers, 2002.
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.
Song, H., Kim, W., and Lee, J., “Network Study of Korea,” Seoul National University Publishing Division, 2004.
SPSS, “Predictive Analytics software,” http://www.spss.co.in/index.aspx, accessed Feb. 01, 2015.
- There are currently no refbacks.