DOI QR코드

DOI QR Code

Analyzing the Influence Factors on Efficiency in Open R&D by Tobit Model

Tobit 모형을 활용한 개방형 R&D 효율성 영향요인 분석

  • Min, Hyun-Ku (School of Business and Economics, Hanyang University ERICA)
  • 민현구 (한양대학교 경상대학 경영학부)
  • Received : 2020.08.24
  • Accepted : 2020.09.02
  • Published : 2020.09.30

Abstract

In this study, the factors affecting the efficiency of 48 projects of private R&D institutes were analyzed using the Tobit model. Influencing factors were selected as open R&D network size, IT industry, interaction between R&D network size and IT industry, and type of R&D network cooperation. As a result of Tobit analysis, the R&D network size, the IT industry, and the type of R&D network cooperation were found to be significant. The larger the open R&D network size, the lower the efficiency, and the IT industry showed lower R&D efficiency than other industries. In addition, cooperation with universities and research institutes showed lower R&D efficiency than cooperation with companies. As a result of these studies, companies will be able to select and focus on cooperation with the outside in relations and investment allocation.

Keywords

References

  1. Bae, J.H., Jun, K.Y., and Park, S.M., Analyzing influence factors on R&D performance by logistic regression, Korean Management Consulting Review, 2015, Vol. 15, No. 2, pp. 9-21.
  2. Baek, C.W., Kwon, M.H., and Yoo, S.H., The impact of asian innovation environment on R&D efficiency, The Journal of Philippine and Southeast Asian Studies, 2009, Vol. 12, No. 2, pp. 113-139.
  3. Becker, R. and Dietz, J., R&D cooperation and innovation activities of firms-evidence for the German manufacturing industry, Research Policy, 2004, Vol. 33, No. 2, pp. 209-223. https://doi.org/10.1016/j.respol.2003.07.003
  4. Berchicci, L., Towards an open R&D system : internal R&D investment, external knowledge acquisition and innovative performance, Research Policy, 2012, Vol. 42, No. 1, pp. 117-127. https://doi.org/10.1016/j.respol.2012.04.017
  5. Bercovitz, J.E.L. and Feldman, M.P., Fishing upstream : Firm innovation strategy and university research alliances, Research Policy, 2007, Vol. 36, No. 7, pp. 930-948. https://doi.org/10.1016/j.respol.2007.03.002
  6. Chang, K.Y., R&D investment and project performance : research on industrial R&D programs of government, Journal of Technology Innovation, 2010, Vol. 18, No. 1, pp. 75-98.
  7. Chesbrough, H.W., Open innovation : the new imperative for creating & profiting from technology, Boston, Massachusetts, USA : Harvard Business School Press, 2003.
  8. Chung, D.B., Kim, K.N., and Ko, Y.M., An analysis of industry-university-institute R&D collaboration and firm performance on SMEs, Journal of Technology Innovation, 2012, Vol. 20, No. 1, pp. 115-140.
  9. Gassmann, O., Enkel, E., and Chesbrough, H., Special issue : the future of open innovation, R&D Management, 2010, Vol. 40, No. 3, pp. 213-221. https://doi.org/10.1111/j.1467-9310.2010.00605.x
  10. Heo, J.Y., Kwak, S.J., and Yoo, S.H., The role of the IT industry in the korean national economy : an inputoutput analysis, Korea Industrial Economics Association, 2008, Vol. 21, No. 2, pp. 483-500.
  11. Hsu, P.M. and Hsueh, C.C., Measuring realtive efficiency of government-sponsored R&D projects : A threestage approach, Evaluation & Program Planning, 2009, Vol. 32, No. 2, pp. 178-186. https://doi.org/10.1016/j.evalprogplan.2008.10.005
  12. Hwang, J.T., Han, J.H., and Kang, H.J., The impact of innovative collaboration on the performance of small and medium enterprises, Journal of Technology Innovation Society, 2010, Vol. 13, No. 2, pp. 332-364.
  13. Hwang, S,W., Son, S.H., and Jang, J.K., A study on analyzing performance in parts and materials industry competitiveness improvement business, Journal of Korea Technology Innovation Society, 2009, pp. 399-415.
  14. Jang, J.K., Various methods to analyse the productivity of the public R&D investment, Science and Technology Policy Institute, 2003, pp. 1-138.
  15. Kim, H.N., IT R&D strategy for smart korea, The Journal of Korean Institute of Communications and Information Sciences, 2011, Vol. 29, No. 1, pp. 30-37.
  16. Kim, J.H., Performance improvement of government R&D investments through creating open innovation conditions, The Journal of Digital Policy and Management, 2010, Vol. 8, No. 2, pp. 29-42.
  17. Kim, T.Y., Min, H.K., and Hwang, S.J., Open Innovation R&D efficiency evaluation by integrated AHPDEA, Journal of Society of Korea Industrial and Systems Engineering, 2012, Vol. 35, No. 4, pp. 149-161. https://doi.org/10.11627/jkise.2012.35.4.149
  18. Kim, Y.J., Oh, Y.J., Lee, S.N., Kim, S.Y., and Lee, J.J., Research performances of government R&D programs in korea 2010, Korea Institute of Science and Technology Evaluation and Planning, 2011.
  19. Lee, S.H. and Bozeman, B., The Impact of research collaboration on scientific productivity, Social of Science, 2005, Vol. 35, No. 5, pp. 673-702.
  20. Mo, S.W. and Kim, C.B., Structural analysis of IT and non-IT industries-IC equipments and passenger cars-, Korea Trade Review, 2003, Vol. 28, No. 1, pp. 5-22.
  21. Nakata, A. and Shinozaki, K., Determinant factors of innovation in japan's chemical industry : analysis of its technological opportunities, PICMET Proceedings, 2007.
  22. Park, S.J., Kim, K.H., and Jeong, S.K., The study on the analysis of efficiency of governmental R&D programs regarding to the S&T outcomes, Journal of Technology Innovation, 2011, Vol. 14, No. 2, pp. 205-222.
  23. Park, S.M., Internal R&D and external knowledge search : technology strategy, capability, and R&D center, Korean Journal of Business Administration, 2018, Vol. 31, No. 3, pp 647-665.
  24. Seo, W.J. and Hong, P.K., Analysis of government R&D contribution to the IT industry, Informatization Policy, 2010, Vol. 17, No. 1, pp. 63-77.
  25. Song, W.J., Sectoral patterns of technological innovation, Science and Technology Policy, 2000, Vol. 10, No. 3, pp. 152-165.
  26. Wang, E.C. and Huang, W., Relative efficiency of R&D activities : A cross-country study accounting for environmental factors in the DEA approach, Research Policy, 2007, Vol. 36, No. 2, pp. 260-273. https://doi.org/10.1016/j.respol.2006.11.004
  27. Yoon, J.H., Kwon, O.J., Park, J.S., and Jung, U.S., A study on the development and adaption of open innovation analysis model, Journal of Korea Technology Innovation Society, 2010, Vol. 13, No. 1, pp. 99-123.