Building Capacity For Innovation Through R&D Consortia in Health Projects: From Network Interaction to Systemic Transformation

Ria Hardiyati, Trina Fizzanty, Erman Aminullah

Abstract


This paper attempt to elucidate the postulation that there is a continuous trajectory from the network interaction in scientific research towards the systemic transformation in innovation capacity building. This study will expose that the availability of research capacity in certain areas can be developed into innovation capacity through R&D consortia, where building research capacity is a long term process of scientific accumulation. This study utilizes two techniques scientometrics and case study in stem cell and vaccine research in understanding innovation capacity.

The research capacity in the area of vaccines has been long started from individual research conducted by researcher. It has been continued into organization research, and then developed into building innovation capacity through R&D consortia. However, in areas of stem cell there is still lack of evidence but it directly leaps to build innovation capacity through R&D consortia. Therefore further empirical evidence is needed to support the continuous trajectory.

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References


Akil, H. A., Hidayat, D., Simamora, N. G., Putera, P. B., Wijayanti, R., & Kusnandar. (2012). Study on the status of science and technology development in Indonesia. Jakarta: Pappiptek-LIPI.

Aminullah, E. & Fizzanty, T. (2016). Enhancing STI capacity: Intensifying R&D for sustainable growth in Indonesia. Transnational lecture series on the internationalization of science, Technology and Innovation. Vienna: Austrian Institute for International Affairs (AIIA). Vienna, 25/04/2016. Retrieved from: http://www.oiip.ac.at/fileadmin/Unterlagen/Dateien/Summaries/Summary_Indonesia.pdf.

Barabasi, A .L. (2002). Linked-the new science of networks. Cambridge, MA: Perseus Publishing.

Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1, 215–239.

Intarakumnerd, P. & Goto, A. (2016). Role of public research institute in national innovation system in industrialized countries: The cases of Fraunhover, NIST, CSIRO, AIST, and ITRI. Tokyo: RIETI, Discussion paper series 16-E-005.

Kim, Ji-hyun, Bae, S. J. & Yang, J. S. (2014). Government roles in evaluation and arrangement of R&D consortia. Technological Forecasting & Social Change, 88, 202– 215.

Lin, J. L., Fang, S. C., Fang, S. R., & Tsai, F. S. (2009). Network embeddedness and technology transfer performance in R&D consortia in Taiwan. Technovation, 29, 763–774.

Liu, X., Bollen, J., Nelson, M. L., Van de Sompel, H. (2005). Co-Authorship networks in digital library research community. Information Processing and Management, 41, 1462–1480.

Mathews, J. A. (2002). The origins and dynamics of Taiwan’s R&D consortia. Research Policy, 31, 633–651.

Nascimento, M. A., Sander, J., & Pound, J. (2003). Analysis of SIGMOD’s co-authorship graph. SIGMOD Record, 32(3), 8–10.

Otte, E., & Rousseau, R. (2002). Social network analysis: A powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441–453.

Sakakibara, M. (2001). Cooperative research and development: Who participates and in which industries do projects take place?. Research Policy, 30, 993–1018.

Sakakibara, M. & Cho, D. S. (2002). Cooperative R&D in Japan and Korea: A comparison of industrial policy. Research Policy, 31, 673–692.

Scott, J. (2000). Social network analysis: A handbook. London: Sage Publications.

Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship. Journal of the American Society for Information Science, 24(4), 265–269. http://doi.org/10.1002/asi.4630240406

Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press.

Watanabe, C,. Kishioka, M. & Nagamatsu, A. (2004). Effect and limit of the government role in spurring technology spillover: A case of R&D consortia by the Japanese government. Technovation, 24, 403–420.

Watts, D. (2001). Small worlds: The dynamics of networks between order and randomness. New Jersey: Princeton University Press




DOI: http://dx.doi.org/10.14203/STIPM.2017.121

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