[논문]KSIC-IPC를 이용한 산업융합 평가모형 연구: 자동차 분야를 중심으로

이행병; 한규보; 이정훈

doi:10.15207/jkcs.2022.13.03.227

KSIC-IPC를 이용한 산업융합 평가모형 연구: 자동차 분야를 중심으로
Research on Idustrial Convergence Evaluation Model Using KSIC-IPC: Focusing on the automotive sector 원문보기

한국융합학회논문지 = Journal of the Korea Convergence Society, v.13 no.3, 2022년, pp.227 - 237

이행병 (특허법인 해담) , 한규보 (연세대학교 정보대학원 IoT 서비스융합) , 이정훈 (연세대학교 정보대학원)

초록
AI-Helper

융합에 관한 관심이 고조되면서 융합을 측정하고자 하는 다양한 시도들이 이루어지고 있으나, 융합의 정의가 모호하고, 측정 지표에 대한 컨센선스가 이루어지지 않아 융합의 측정에 대해서는 더욱 많은 연구가 필요한 상황이다. 본 연구에서는 한국특허청에서 특허와 경제, 산업, 인구 등과의 영향도 및 상관관계를 분석할 수 있도록 개발한 산업(KSIC)-특허(IPC) 연계표를 이용하여 특허 데이터로부터 산업융합을 평가할 수 있는 신규 평가 모형을 제안하고, 이로부터 도출된 산업융합이 기업의 융합특성을 제대로 반영하는지를 여부를 실증하였다. 글로벌 주요 자동차 기업들이 보유한 39,740건 특허의 융합여부를 각각 분류하고, 각 기업의 융합도를 평가한 결과, KSIC-IPC 연계표를 이용하여 도출된 산업융합은 동시분류분석으로 분류된 기술융합보다 기업의 융합특성을 보다 잘 반영한다는 것을 확인할 수 있었다. 따라서 KSIC-IPC 연계표를 이용한 신규 산업융합 평가모델로부터 도출된 자동차 분야 산업융합 자료는 향후 융합연구에 널리 활용될 수 있을 것으로 기대된다.

Abstract ▼ AI-Helper

With the growing interest in convergence, there have been various attempts to measure convergence, but the definition of convergence is ambiguous and consensus on appropriate indicators has not been reached, so measurement of convergence is still at a rudimentary stage. In this study, using the KSIC-IPC linkage table developed by the Korean Intellectual Property Office to analyze the correlation and impact of patents, industry, economy, and population, we propose a new evaluation model that can evaluate industry convergence from patent data. In addition, it was verified whether the industry convergence derived from this properly reflects the corporate convergence characteristics. As a result of classifying the convergence of 39,740 patents owned by global major automobile companies, and evaluating the degree of convergence of each company, it was confirmed that the industry convergence derived using the KSIC-IPC linkage table better reflects the corporate convergence characteristics than the technology convergence classified by IPC co-classification. Therefore, the industry convergence data of automotive sector derived from the new industry convergence evaluation model using the KSIC-IPC linkage table is expected to be widely used for future convergence research.

주제어

표/그림 (14)

그림 Fig. 1. Sequential process of industry convergence [4]
표 Table 1. 4 stages of convergence
그림 Fig. 2. IPC hierarchy
표 Table 2. Empirical research related to convergence by stage (Reorganized by Jae Young Choi et al., 2013)
표 Table 3. IPC code classification
표 Table 4. MERIT concordance table: IPC-ISC example
표 Table 5. Patent data
표 Table 6. Examples of technology convergence classification of Tesla patents
표 Table 7. KSIC classification table
표 Table 8. Example of KSIC-IPC linkage table
그림 Fig. 3. Example of industry convergence classification using KSIC-IPC
표 Table 9. Example of industry convergence classification of tesla patents
표 Table 10. Technology convergence of major automobile companies
표 Table 11. Industry convergence of major automobile companies

참고문헌 (27)

D. J. Teece. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic management journal, 28(13), 1319-1350. DOI : 10.12811/JKCS.201.11.2.129

상세보기
D. B. Yoffie. (1996). Competing in the age of digital convergence. California management review, 38(4), 31.

상세보기
G. Wolbring. (2008). Why NBIC? Why human performance enhancement? Innovation: The European journal of social science research, 21(1), 25-40. DOI : 10.1080/13511610802002189

상세보기
C.-S. Curran. & J. Leker. (2011), Patent indicators for monitoring convergence - examples from NFF and ICT, Technological Forecasting and Social Change, 78(2), 256-273. DOI : 10.1016/j.techfore.2010.06.021

상세보기
Y. Geum, C. Kim, S. Lee & M. S. Kim. (2012). Technological convergence of IT and BT: evidence from patent analysis. Etri Journal, 34(3), 439-449.

원문보기 상세보기
J. M. Pennings & P. Puranam. (2001). Market convergence & firm strategy: New directions for theory and research. Paper presented at the ECIS Conference, The Future of Innovation Studies, Eindhoven, Netherlands.
F. Fai. & N. Von Tunzelmann. (2001). Industry-specific competencies and converging technological systems: evidence from patents. Structural change and economic dynamics, 12(2), 141-170.

상세보기
N. Rosenberg. (1963). Technological change in the machine tool industry, 1840-1910. Journal of economic history, 414-443.
G. Duysters & J. Hagedoorn. (1998). Technological convergence in the IT industry: the role of strategic technology alliances and technological competencies. International journal of the economics of business, 5(3), 355-368. DOI : 10.1080/13571519884431

상세보기
D. Choi & L. Valikangas. (2001), Patterns of Strategy Innovation, European Management Journal, 19, 424-429.

상세보기
F. Hacklin. (2007). Management of convergence in innovation: strategies and capabilities for value creation beyond blurring industry boundaries: Springer Science & Business Media.
C. S. Curran, S. Broring & J. Leker. (2010). Anticipating converging industries using publicly available data. Technological Forecasting and Social Change, 77(3), 385-395. DOI : 10.1016/j.techfore.2009.10.002

상세보기
M. Karvonen & T. Kassi. (2013). Patent citations as a tool for analysing the early stages of convergence. Technological Forecasting and Social Change, 80(6), 1094-1107. DOI : 10.1016/j.techfore.2012.05.006

상세보기
J. E. Kim & S. J. Lee. (2013). A Methodology to Evaluate Industry Convergence Using the Patent Information - Technology Relationship analysis. Journal of the Korean Institute of Industrial Engineers, 39(3), 212-221. DOI : 10.7232/JKIIE.2013.39.3.212

원문보기 상세보기
F. Hacklin & M. W. Wallin. (2013). Convergence and interdisciplinarity in innovation management: a review, critique, and future directions. the service industries journal, 33(7-8), 774-788. DOI : 10.1080/02642069.2013.740471

상세보기
J. Y. Choi, Y. A. Cho & S. G. Jung. (2013). Technology convergence measurement and diffusion trend analysis using patent data. KIET issue paper 2013-316.
J. S. Jo. (2012). The Convergency Analysis of International Patent Classifications(IPC) and Research for Utilization of an examination and a trial. Journal of Industrial Property, 38, 91-130. UCI : G704-000648.2012..38.004
N. L. Choi, B. H. Hyun, & P. R. Kim. (2012). An Empirical Study on the Characteristics of BT-based Converging Technology Market in Korea. Journal of Korea Technology Innovation Society, 15(2), 299-322. UCI : G704-001043.2012.15.2.007
Y. S. Kum. (2015). An Analysis of Patterns and Trends of the Convergence with Patent Data generated by the National R&D Projects. Doctoral Dissertation. Korea University, Seoul.
S. Son & N. W. Cho. (2020). Technology Fusion Characteristics in the Solar Photovoltaic Industry of South Korea: A Patent Network Analysis Using IPC Co-Occurrence. Sustainability, 12(21), 9084.

상세보기
H. B. Lee & D. W. Yang. (2020). Analysis on the Patent Portfolio for Hidden Champion Companies: Focusing on the "Hidden Champion" companies introduced in Herman Simon's book. Journal of the Korea Convergence Society. 11(7), 259-272. DOI : 10.15207/JKCS.2020.11.7.259

원문보기 상세보기
S. Athreye & D. Keeble. (2000). Technological convergence, globalisation and ownership in the UK computer industry. Technovation, 20(5), 227-245. DOI : 10.1016/S0166-4972(99)00135-2

상세보기
H. J. Jung. (2019). A Study on the Effects of Convergence Patent on Management Performance and Corporate Value. Doctoral Dissertation, Hansung University, Seoul.
S. U. Lee. (2019), Discussion and suggestions on methodology for calculating patent statistics by industry. Seoul: KIIP.
B. S. Yang. (2016. May). Automotive software Tesla Motors, an innovative company. Monthly Software Oriented Society, 49-55.
J. H. Moon, Y. J. Kwon & Y. J. Geum (2017). Analyzing Technological Convergence for IoT Business Using Patent Co-classification Analysis and Text-mining. Journal of Technology Innovation, 25(3), 1-24. DOI : 10.14383/SIME.2017.25.3.1

원문보기 상세보기
M. J. Lee & J. S. Jung. (2016). Innovative Firms, Paradox Management of Tesla Motors. Korean Strategic Management Society, 19(1), 1-24. DOI : 10.17786/jsm.2016.19.1.001

상세보기

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