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A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea

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  • Jae Young Choi

    (Graduate School of Technology & Innovation Management, Hanyang University, 222 Wangsimni-ro, Seongdong-go, Seoul 133-791, Korea)

  • Seongkyoon Jeong

    (Scheller College of Business, Georgia Institute of Technology, 800 West Peachtree Street, Atlanta, GA 30308, USA)

  • Kyunam Kim

    (Korea Information Society Development Institute, 18Jeongtong-ro, Deoksan-myeon, Jincheon-gun, Cungcheongbuk-do 365-841, Korea)

Abstract

Technology convergence indicates that technologies of different application areas are converted into a new and common unity of technology. Its range spans from inter-field, whereby technologies are converged between heterogeneous fields in homogeneous sector, to a wider inter-sector, whereby technologies belong to heterogeneous technology sector are converged. This paper determined the definition of technology convergence from previous literature and classified patents into technology category depending on patent information. Furthermore, we empirically measure technology convergence degree based on co-classification analysis and estimate its diffusion trend at the entire technology domain level by using overall 1,476,967 of patents filed to the KIPO (Korean Intellectual Property Office) from 1998 to 2010. As a result, potential size and growth rate of technology convergence are varied by both technology and type of technology convergence, i.e. , inter-field and inter-sector technology convergence. Diffusion pattern of inter-sector technology convergence appears as the more various form than that of inter-field technology convergence. In a relationship between potential size and growth rate of technology convergence, growth rate of technology convergence is in inverse proportion to potential size of technology convergence in general. That is, the faster the growth rate of technology convergence, the smaller the potential size of technology convergence. In addition, this paper found that technology convergence of the instrument and chemistry sector is actively progressing in both inter-field and inter-sector convergence, while the technologies related to Information and Communication Technology (ICT) in electrical engineering sector have relatively mature progress of technology convergence, especially in inter-sector technology convergence.

Suggested Citation

  • Jae Young Choi & Seongkyoon Jeong & Kyunam Kim, 2015. "A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:11546-11569:d:54714
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    1. Fernanda Morillo & María Bordons & Isabel Gómez, 2003. "Interdisciplinarity in science: A tentative typology of disciplines and research areas," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(13), pages 1237-1249, November.
    2. Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
    3. E. C. M. Noyons & A. F. J. van Raan, 1998. "Monitoring scientific developments from a dynamic perspective: Self‐organized structuring to map neural network research," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 68-81.
    4. Xing, Wan & Ye, Xuan & Kui, Lv, 2011. "Measuring convergence of China's ICT industry: An input-output analysis," Telecommunications Policy, Elsevier, vol. 35(4), pages 301-313, May.
    5. Tijssen, Robert J. W., 1992. "A quantitative assessment of interdisciplinary structures in science and technology: Co-classification analysis of energy research," Research Policy, Elsevier, vol. 21(1), pages 27-44, February.
    6. Gambardella, Alfonso & Giuri, Paola & Luzzi, Alessandra, 2007. "The market for patents in Europe," Research Policy, Elsevier, vol. 36(8), pages 1163-1183, October.
    7. Fai, Felicia & von Tunzelmann, Nicholas, 2001. "Industry-specific competencies and converging technological systems: evidence from patents," Structural Change and Economic Dynamics, Elsevier, vol. 12(2), pages 141-170, July.
    8. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    9. Fredrik Hacklin & Martin W. Wallin, 2013. "Convergence and interdisciplinarity in innovation management: a review, critique, and future directions," The Service Industries Journal, Taylor & Francis Journals, vol. 33(7-8), pages 774-788, May.
    10. Loet Leydesdorff, 2007. "Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 391-405, June.
    11. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    12. Gambardella, Alfonso & Torrisi, Salvatore, 1998. "Does technological convergence imply convergence in markets? Evidence from the electronics industry," Research Policy, Elsevier, vol. 27(5), pages 445-463, September.
    13. Jeong, Seongkyoon, 2014. "Strategic collaboration of R&D entities for technology convergence: Exploring organizational differences within the triple helix," Journal of Management & Organization, Cambridge University Press, vol. 20(2), pages 227-249, March.
    14. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
    15. Martin Meyer, 2000. "What is Special about Patent Citations? Differences between Scientific and Patent Citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 93-123, August.
    16. Michel Zitt & Suzy Ramanana-Rahary & Elise Bassecoulard, 2005. "Relativity of citation performance and excellence measures: From cross-field to cross-scale effects of field-normalisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(2), pages 373-401, April.
    17. Carole L. Palmer, 1999. "Structures and strategies of interdisciplinary science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(3), pages 242-253.
    18. Joachim Schummer, 2004. "Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 425-465, March.
    19. Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
    20. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    21. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    22. Alan L Porter & David J Roessner & Anne E Heberger, 2008. "How interdisciplinary is a given body of research?," Research Evaluation, Oxford University Press, vol. 17(4), pages 273-282, December.
    23. Katz, Michael L, 1996. "Remarks on the Economic Implications of Convergence," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 5(4), pages 1079-1095.
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