Asian Journal of Innovation and Policy

  • 제6권2호
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  • Pages.138-151
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  • 2017
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  • 2287-1608(pISSN)
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  • 2287-1616(eISSN)
아시아기술혁신학회 (Asian Society for Innovation and Policy)
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Technological Characteristics by Industry and Innovation Strategy

  • 투고 : 2017.08.01
  • 심사 : 2017.08.29
  • 발행 : 2017.08.31
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초록

This aim of the study is to show the necessity of implementing an industrial innovation strategy with consideration given to characteristics of the industrial technology. The relationship between industrial technological characteristics and innovation performance is analyzed by using an innovation survey as well as a human capital corporate panel (HCCP). The time-lag effect is also examined. Findings of the analysis show that high-tech industries have entered the post catch-up technology innovation stage in the mid-2000s, but low-tech industries still seem to stay in the catch-up stage. In terms of technology policy, the additional technology innovation support policy should focus on enhancing the innovation capability of the middle and low technology industries, since high technology industries are already developing their own innovation capability. It is necessary to strengthen capacity building through technical cooperation with technology consulting, rather than providing technical support through suppliers.

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참고문헌

  1. Sung, T.G. (2005) A comparative analysis of determinants of innovation activity in high technology and low technology industries, Journal of Industrial Economics, 18-1, 2005, 339-360.
  2. Lee, J.S., Park, J.H. and Bae, J.T. (2016) The influence of open innovation on the innovative productivity of a company: focusing on external knowledge search activities, Journal of Korean Society for Knowledge Management, 17-1, 49-72.
  3. Lee, J.H. and Park, D.J. (1997) A Study on patent prediction models using R&D inputs, Journal of Industrial Management, 20-4, 257-261.
  4. Lee, H., Baek, C.W. and Lee, J.D. (2014) Analysis of lagging effect of corporate R&D investment, Journal of Technology Innovation, 22(1).
  5. Jeon, S.Y. (2009) A Study on Technology Change, Employment and Skill in Korea: Focusing on the 1995 - 2003 Enterprise Panel Data, Ph.D. Dissertation, Korea University.
  6. Hong, S.K. and Ahn, D.H. (1991) A Study on the Inter-industry Flow of R&D Investment and the Effect of Increasing Direct and Indirect Productivity, Science and Technology Policy Institute.
  7. Hwang, G.H. (2014) Analysis of enterprise technology innovation through dual-patent application: comparison of high technology and middle technology industry, Journal of Information Technology Applications and Management, 21(4): 331-344.
  8. Hwang, H. and Jung, J.J. (2012) Theoretical orientation and task of research on post catch-up studies, Journal of Technology Innovation.
  9. Barge-Gil, A. (2010) Cooperation-based innovators and peripheral cooperators: an empirical analysis of their characteristics and behavior, Technovation, 30(3), 195-206. https://doi.org/10.1016/j.technovation.2009.11.004
  10. Branch, B. (1974) Research and development activity and profitability: a distributed lag analysis, Journal of Political Economy, 82(5), 999-1011. https://doi.org/10.1086/260252
  11. Huang, C., Arundel, A. and Hollanders, H. (2010) How Firms Innovate: R&D, Non-R&D, and Technology Adoption, UNU-Merit Working Paper, 2010-027.
  12. OECD (2002) Frascati Manual: Proposes Standard Practice for Surveys and Research, Paris: OECD Publications.
  13. OECD (2005) OSLO Manual: Guidelines for Collecting and Interpreting Innovation Data, 3rd Edition, Paris: OECD Publications.
  14. Pavitt, K., (1984) Sectoral patterns of technical change: towards a taxonomy and a theory, Research Policy, 13, 343-373. https://doi.org/10.1016/0048-7333(84)90018-0
  15. Rammer, C., Czarnitzki, D. and Spielkamp, A. (2009) Innovation success of non-R&D performers: substituting technology by management in SMEs, Small Business Economics, 33, 35-58. https://doi.org/10.1007/s11187-009-9185-7
  16. Wang, N. and Jagedoorn, J. (2014) The lag structure of the relationship between patent and internal R&D revisited, Research Policy, 43, 1275-1285 https://doi.org/10.1016/j.respol.2014.03.010