Browse > Article
http://dx.doi.org/10.15207/JKCS.2022.13.03.227

Research on Idustrial Convergence Evaluation Model Using KSIC-IPC: Focusing on the automotive sector  

Lee, Haeng Byoung (Haedam IP Group)
Han, Kyu-Bo (Graduate School of Information, Yonsei University)
Lee, Jung Hoon (Graduate School of Information, Yonsei University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.3, 2022 , pp. 227-237 More about this Journal
Abstract
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.
Keywords
Convergence; KSIC-IPC linkage table; Industry Convergence; Patent; Automotive;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 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   DOI
2 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   DOI
3 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   DOI
4 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   DOI
5 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   DOI
6 N. Rosenberg. (1963). Technological change in the machine tool industry, 1840-1910. Journal of economic history, 414-443.
7 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   DOI
8 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.
9 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.
10 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   DOI
11 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   DOI
12 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.
13 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.   DOI
14 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   DOI
15 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   DOI
16 H. J. Jung. (2019). A Study on the Effects of Convergence Patent on Management Performance and Corporate Value. Doctoral Dissertation, Hansung University, Seoul.
17 S. U. Lee. (2019), Discussion and suggestions on methodology for calculating patent statistics by industry. Seoul: KIIP.
18 B. S. Yang. (2016. May). Automotive software Tesla Motors, an innovative company. Monthly Software Oriented Society, 49-55.
19 F. Hacklin. (2007). Management of convergence in innovation: strategies and capabilities for value creation beyond blurring industry boundaries: Springer Science & Business Media.
20 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.   DOI
21 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   DOI
22 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
23 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   DOI
24 D. Choi & L. Valikangas. (2001), Patterns of Strategy Innovation, European Management Journal, 19, 424-429.   DOI
25 D. B. Yoffie. (1996). Competing in the age of digital convergence. California management review, 38(4), 31.   DOI
26 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.   DOI
27 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