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ICT Co-evolution and Korean ICT strategy--An analysis based on patent data

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  • Lee, Sungjoo
  • Kim, Moon-Soo
  • Park, Yongtae

Abstract

This paper investigates the interactive nature of relationships between Information and Communications Technologies (ICTs) in terms of their technological innovations and diffusion. For the purpose, the United States Patent and Trademarks Office (USPTO) database was used and Lotka-Volterra equations were applied to the patent data, resulting in a Patent Interaction Network (PIN). This matrix was employed to investigate the interaction patterns among ICT-related industries, allowing co-evolution process across ICTs to be analyzed. This paper also examined patenting activities in the Korean ICT sector, which has announced the IT839 strategy to address ICT-related services, infrastructures and growth drivers. It is judged that the evolving pattern of Koran ICT has been compatible with the PIN, facilitating the development of each other. It is also expected that promoting broadband and home-network technologies, together with technologies on digital contents and software solutions, can lead to the growth of the whole ICT industry. Such research findings will provide numerous implications for policy-making and strategic planning for ICT development.

Suggested Citation

  • Lee, Sungjoo & Kim, Moon-Soo & Park, Yongtae, 0. "ICT Co-evolution and Korean ICT strategy--An analysis based on patent data," Telecommunications Policy, Elsevier, vol. 33(5-6), pages 253-271, June.
    • Handle: RePEc:eee:telpol:v:33:y::i:5-6:p:253-271
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    Citations

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    Cited by:

    1. Cassetta, Ernesto & Marra, Alessandro & Pozzi, Cesare & Antonelli, Paola, 2017. "Emerging technological trajectories and new mobility solutions. A large-scale investigation on transport-related innovative start-ups and implications for policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 1-11.
    2. Park, Inchae & Yoon, Byungun, 2018. "Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network," Journal of Informetrics, Elsevier, vol. 12(4), pages 1199-1222.
    3. Chang, Shu-Hao, 2017. "The technology networks and development trends of university-industry collaborative patents," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 107-113.
    4. Mohd Fazli Mohd Sam & Yasuo Hoshino, 2013. "Performance of ICT Industry in Six Asian Countries," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 4(6), pages 96-119, November.
    5. Sung-Seok Ko & Namuk Ko & Doyeon Kim & Hyunseok Park & Janghyeok Yoon, 2014. "Analyzing technology impact networks for R&D planning using patents: combined application of network approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 917-936, October.
    6. Farid Shirazi & Nick Hajli, 2021. "IT-Enabled Sustainable Innovation and the Global Digital Divides," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    7. Larrucea, Xabier & Nanclares, Felix & Santamaria, Izaskun, 2016. "A method for defining a regional software ecosystem strategy: Colombia as a case study," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 247-258.
    8. Haroon Ur Rashid Khan & Khalid Zaman & Anwar Khan & Talat Islam, 2017. "Quadrilateral Relationship Between Information and Communications Technology, Patent Applications, Research and Development Expenditures, and Growth Factors: Evidence from the Group of Seven (G-7) Cou," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 1165-1191, September.
    9. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.

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