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산업별 전유 메커니즘에 관한 연구: 중국 기업을 중심으로

A Study on the Appropriability Mechanism by Industry: Focus on China Industry

  • Park, Eun-Mi (School of Business Administration, Kyungpook National University) ;
  • Seo, Joung-Hae (School of Business Administration, Kyungpook National University)
  • 투고 : 2020.12.24
  • 심사 : 2021.02.20
  • 발행 : 2021.02.28

초록

지식기반경제로의 이행이 가속화되기 시작하면서 기업 환경에 많은 변화가 일어나고 있다. 중국제조 2025 전략을 시작으로 중국 산업에도 변화가 일어나기 시작하였다. 제조공장으로서의 역할이 아닌, 첨단기술 기반의 산업을 선도하기 위한 노력을 경주하고 있다. 본 연구의 목적은 중국 기업의 혁신에 대한 결과물인 전유 메커니즘을 파악하는데 있다. 이를 위해 본 연구에서는 선행연구를 기반으로 델파이 조사를 통해 8개 요인을 최종적으로 도출하고, 8개 요인을 중국 기업의 실무자들을 대상으로 전유 메커니즘에 대해 설문조사를 하였다. 분석결과, 전체산업을 기준으로 전유 메커니즘의 중요성은 특허, 의장등록, 리드타임, 비밀유지, 보완적 제조, 보완적 판매 및 서비스, 디자인의 복잡성, 학습곡선 효과/규모의 경제 순으로 그 중요도가 나타났다. 본 연구의 결과는 기업의 실무자들이 자사에게 맞는 전유 메커니즘을 통해 기업의 지식재산 전략의 계획을 수립하는데 도움을 줄 수 있을 것으로 보인다.

The corporate environment is undergoing many changes as the transition to a knowledge-based economy accelerates. Many changes are taking place in China, including the strategy of Chinese manufacturer 2025. It has no role in the manufacturing plant and is striving to lead the industry based on advanced technology. Therefore, the purpose of this research is to understand one's own mechanism as a result of technological innovation of Chinese companies. Therefore, in this study, based on the previous study, in the Delphi survey, eight factors were finally derived, and the eight factors were surveyed by practitioners of Chinese companies about their own mechanism. As a result of analysis, the importance of one's mechanism based on the industry as a whole is patent, design registration, lead time, confidentiality, complementary manufacturing, complementary sales and services, design complexity, learning curve effect / economies of scale. In turn, its importance appeared. The results of this study may help corporate practitioners develop their intellectual property strategic plans through their own mechanisms that are tailored to their company.

키워드

참고문헌

  1. Kim, Y. K., Kim, T. U., Park, S. T., & Jung, J. R. (2016). Establishing the importance weight of appropriability mechanism by using AHP: the case of the China's electronic industry. Cluster Computing, 19(3), 1635-1646. https://doi.org/10.1007/s10586-016-0608-3
  2. Park, S. T., & Kim, Y. K. (2014). Difference across indutries of innovation appropriability mechanism's effectiveness and classification. Journal of Digital Convergence, 12(6), 135-144. https://doi.org/10.14400/JDC.2014.12.6.135
  3. Park, S. T., & Liu, C. (2020). A study on topic models using LDA and Word2Vec in travel route recommendation: focus on convergence travel and tours reviews. Personal and Ubiquitous Computing, 1-17.
  4. Park, S. T., Lee, S. J., & Kim, Y. K. (2015). Appropriability of innovation results: case of the Korean industry. Indian J. Sci. Technol, 8(21), 1-9.
  5. Park, S. T., Park, E. M., & Kim, Y. K. (2014). Does the Company Size Affect the Purpose of Patent Application?: Case of the Korean Electronics Industry. International Journal of Applied Engineering Research, 9(21), 8955-8966.
  6. Lee, S. J., Park, S. T., & Kim, Y. K. (2013). Appropriability mechanism strategy for domestic IT manufacturing companies. Journal of Digital Convergence, 11(11), 233-242. https://doi.org/10.14400/JDPM.2013.11.11.233
  7. Cheon, K. W., Kim, Y. K., Choi, S. M., & Park, S. T. (2016). A Study of Companies' Strategy for Securing Appropriability: Focused on South Korean Electronic Component Manufacturing. Indian Journal of Science and Technology, 9, 46.
  8. Wyatt, S., Bertin, G., & Pavitt, K. (1985). Patents and multinational corporations: results from questionnaires. World Patent Information, 7(3), 196-212. https://doi.org/10.1016/0172-2190(85)90145-0
  9. Levin, R. C., Klevorick, A. K., Nelson, R. R., Winter, S. G., Gilbert, R., & Griliches, Z. (1987). Appropriating the returns from industrial research and development. Brookings papers on economic activity, 1987(3), 783-831. https://doi.org/10.2307/2534454
  10. Harabi, N. (1995). Sources of technical progress: Empirical evidence from Swiss industry. Economics of Innovation and New Technology, 4(1), 67-76. https://doi.org/10.1080/10438599500000015
  11. Konig, H., & Licht, G. (1995). Patents, R&D and innovation: Evidence from the Mannheim innovation panel. Ifo-Studien, 41, 521545.
  12. Arundel, A. (2001). The relative effectiveness of patents and secrecy for appropriation. Research policy, 30(4), 611-624. https://doi.org/10.1016/S0048-7333(00)00100-1
  13. Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2000). Protecting their intellectual assets: Appropriability conditions and why US manufacturing firms patent (or not) (No. w7552). National Bureau of Economic Research.
  14. Hussinger, K. (2006). Is silence golden? Patents versus secrecy at the firm level. Economics of Innovation and New Technology, 15(8), 735-752. https://doi.org/10.1080/10438590500510467
  15. Gupta, V. (2004). Determinants of Incidence and Modes of Alliance: A Study of the Indian Information Technology Industry (Doctoral dissertation, PhD dissertation, Indian Institute of Management, India).
  16. Sattler, H. (2003). Appropriability of product innovations: An empirical analysis for Germany. International Journal of Technology Management, 26(5-6), 502-516. https://doi.org/10.1504/IJTM.2003.003420
  17. Brouwer, E., & Kleinknecht, A. (1999). Innovative output, and a firm's propensity to patent.: An exploration of CIS micro data. Research policy, 28(6), 615-624. https://doi.org/10.1016/S0048-7333(99)00003-7
  18. Gonzalez-Alvarez, N., & Nieto-Antolin, M. (2007). Appropriability of innovation results: An empirical study in Spanish manufacturing firms. Technovation, 27(5), 280-295. https://doi.org/10.1016/j.technovation.2006.12.004
  19. Park, S. T., Jung, J. R., & Liu, C. (2020). A study on policy measure for knowledge-based management in ICT companies: focused on appropriability mechanisms. Information Technology and Management, 21(1), 1-13. https://doi.org/10.1007/s10799-019-00298-w
  20. Park, S. T., Leet, S. J., & Kim, Y. K. (2011). Weight Differences of Patent Valuation Factors by Industries. Journal of Digital Convergence, 9(3), 105-116. https://doi.org/10.14400/JDPM.2011.9.3.105
  21. Park, S. T., Lee, S. J., & Kim, Y. K. (2011). Establishing the importance weight of patent valuation criteria for product categories through AHP analysis. Entrue J. Inf. Technol, 10(1), 115-127.
  22. Rowe, G., & Wright, G. (1999). The Delphi technique as a forecasting tool: issues and analysis. International journal of forecasting, 15(4), 353-375. https://doi.org/10.1016/S0169-2070(99)00018-7
  23. Kim, Y. K., Park, S. T., & Lee, S. J. (2010). Selection of important factors for Patent Valuation using Delphi Method. Entrue Journal of Information Technology, 9(1), 7-17.
  24. Kim, Y. K., Park, S. T., & Lee, S. J. (2010). Patent Valuation for Fair Royalty Distribution in Patent Pool. Journal of Digital Convergence, 8(1), 41-53.