DOI QR코드

DOI QR Code

IT 기업의 전유 메커니즘 효과성에 관한 연구

A Study on the Effectiveness of the Appropriability Mechanism of IT Companies

  • 박은미 (한국소프트웨어기술인협회)
  • Eun-Mi Park (Business Management Strategy Headquarters, KASOM)
  • 투고 : 2022.12.29
  • 심사 : 2023.03.20
  • 발행 : 2023.03.28

초록

기술의 발전과 융복합화가 진행되면서 전유 메커니즘에 대한 기업들의 관심이 나날이 증가를 하고 있다. 이에 본 연구에서는 국내 IT기업의 전유 메커니즘 효과성에 대해 파악을 하고자 하였다. 이를 위해 선행연구 검토와 전문가를 통해 최종적으로 7개의 전유 메커니즘을 도출하고 이를 실증분석하였다. 분석결과, SW기업에서는 리드타임, 특허, 영업비밀, 보완적 판매 및 서비스, 디자인 등록, 보완적 제조, 학습곡선효과 순으로 그 중요도가 나타났다. HW 기업에서는 특허, 영업비밀, 리드타임, 디자인 등록, 보완적 판매 및 서비스, 학습곡선효과, 보완적 제조 순으로 그 중요도가 나타났다. 또한 공통적으로 특허, 영업비밀, 리드타임이 중요한 요인으로 선정이 되었다. 본 연구의 결과는 기업에서 전유 메커니즘 전략을 수립하는데 있어 유용한 가이드라인으로 활용이 가능할 것으로 보인다.

As the technology advances and convergence progresses, companies are increasingly interested in the appropriability mechanism. Therefore in this study tried to understand the effectiveness of the appropriability mechanism of domestic IT companies. To this end, 7 appropriability mechanisms were finally derived and empirically analyzed from a review of previous studies and experts. As a result of the analysis, the importance of lead time advantage, patent, secrecy, complementary sales and service, design registered, complementary manufacturing, and learning curve effect was shown in the order of SW companies. HW companies, the importance of patent, secrecy, lead time advantage, design registered, complementary sales and service, learning curve effect, and complementary manufacturing were shown in the order of importance. Also patent, secrecy, and lead time advantage was selected as important factors. The results of in this study are expected to be used as useful guidelines on establishing an appropriability mechanism strategy in companies.

키워드

참고문헌

  1. Kim, Y. K., & Park, S. T. (2018). Effects of Absorptive Capacity on Technology Innovation and Commercialization Capacities and Management Performance. Journal of the Korea Convergence Society, 9(12), 217-225.
  2. 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.
  3. Li, G., Park, E. M., & Jin, S. J. (2022). The impacts of personal traits on knowledge discovery behaviors via mobile SNS. Personal and Ubiquitous Computing, 26(2), 395-406. https://doi.org/10.1007/s00779-019-01240-1
  4. Park, S. T., & Kim, Y. K. (2016). A study on appropriability strategy for domestic ICT companies. Indian J Sci Technol, 9(41), 1-6.
  5. 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
  6. 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
  7. Cohen, W. M., Nelson, R., & Walsh, J. P. (2000). Protecting their intellectual assets: Appropriability conditions and why US manufacturing firms patent (or not). Working Paper, No. 7552, National Bureau of Economic Research.
  8. 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
  9. 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.
  10. Park, E. M., & Seo, J. H. (2021). A Study on the Appropriability Mechanism by Industry: Focus on China Industry. Journal of Digital Convergence, 19(2), 161-168. https://doi.org/10.14400/JDC.2021.19.2.161
  11. Park, E. M., & Seo, J. H. (2021). A Study on Appropriability Mechanism of Korean ICT Industry. Turkish Online Journal of Qualitative Inquiry, 12(3).
  12. 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
  13. Konig, H., & Licht, G. (1995). Patents, R&D and innovation: Evidence from the Mannheim innovation panel. Ifo-Studien, 41, 521545.
  14. 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
  15. 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
  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. 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).
  18. 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
  19. 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
  20. 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.
  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 Journal of Information Technology, 10(1), 115-27.
  22. 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.