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Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents

Author

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  • Lee, Won Sang
  • Han, Eun Jin
  • Sohn, So Young

Abstract

Understanding technology convergence became crucial for pursuing innovation and economic growth. This paper attempts to predict the pattern of technology convergence by jointly applying the Association Rule and Link Prediction to entire IPCs related to triadic patents filed during the period from 1955 to 2011. We further use a topic model to discover emerging areas of the predicted technology convergence. The results show that the medical area is in the center of convergence, and we predict that technologies for treating respiratory system/blood/sense disorders are associated with the technologies of genetic engineering/peptide/heterocyclic compounds. After eliminating the majority of convergence, we found the convergence pattern among activating catalysts, printing, advanced networking, controlling devices, secured communication with in-memory system, television system with pattern recognition, and image processing and analyzing technologies. The results of our study are expected to contribute to firms that seek new innovative technological domain.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:tefoso:v:100:y:2015:i:c:p:317-329
    DOI: 10.1016/j.techfore.2015.07.022
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    as
    1. Christopher Lipinski & Andrew Hopkins, 2004. "Navigating chemical space for biology and medicine," Nature, Nature, vol. 432(7019), pages 855-861, December.
    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. Martin, Ben R. & Nightingale, Paul & Yegros-Yegros, Alfredo, 2012. "Science and technology studies: Exploring the knowledge base," Research Policy, Elsevier, vol. 41(7), pages 1182-1204.
    4. repec:bla:jindec:v:46:y:1998:i:2:p:125-56 is not listed on IDEAS
    5. Murray, Fiona, 2002. "Innovation as co-evolution of scientific and technological networks: exploring tissue engineering," Research Policy, Elsevier, vol. 31(8-9), pages 1389-1403, December.
    6. Naoki Shibata & Yuya Kajikawa & Ichiro Sakata, 2012. "Link prediction in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 78-85, January.
    7. Josh Lerner & Robert P. Merges, 1998. "The Control of Technology Alliances: An Empirical Analysis of the Biotechnology Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 125-156, June.
    8. Blind, Knut & Gauch, Stephan, 2008. "Trends in ICT standards: The relationship between European standardisation bodies and standards consortia," Telecommunications Policy, Elsevier, vol. 32(7), pages 503-513, August.
    9. Rui Li & Tamy Chambers & Ying Ding & Guo Zhang & Liansheng Meng, 2014. "Patent citation analysis: Calculating science linkage based on citing motivation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 1007-1017, May.
    10. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    11. repec:bla:jamist:v:63:y:2012:i:1:p:78-85 is not listed on IDEAS
    12. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    13. Constant, Edward II, 2002. "Why evolution is a theory about stability: constraint, causation, and ecology in technological change," Research Policy, Elsevier, vol. 31(8-9), pages 1241-1256, December.
    14. Yan, Erjia & Ding, Ying & Milojević, Staša & Sugimoto, Cassidy R., 2012. "Topics in dynamic research communities: An exploratory study for the field of information retrieval," Journal of Informetrics, Elsevier, vol. 6(1), pages 140-153.
    15. Xiaojun Hu & Ronald Rousseau & Jin Chen, 2012. "Structural indicators in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 451-460, May.
    16. Baudry, Marc & Dumont, Beatrice, 2006. "Comparing firms' triadic patent applications across countries: Is there a gap in terms of R&D effort or a gap in terms of performances?," Research Policy, Elsevier, vol. 35(2), pages 324-342, March.
    17. Meyer-Krahmer, Frieder & Schmoch, Ulrich, 1998. "Science-based technologies: university-industry interactions in four fields," Research Policy, Elsevier, vol. 27(8), pages 835-851, December.
    18. Phene, Anupama & Almeida, Paul, 2003. "How do firms evolve? The patterns of technological evolution of semiconductor subsidiaries," International Business Review, Elsevier, vol. 12(3), pages 349-367, June.
    19. Bernard, Andrew B & Jones, Charles I, 1996. "Technology and Convergence," Economic Journal, Royal Economic Society, vol. 106(437), pages 1037-1044, July.
    20. repec:bla:jamist:v:63:y:2012:i:9:p:1834-1842 is not listed on IDEAS
    21. Roijakkers, Nadine & Hagedoorn, John, 2006. "Inter-firm R&D partnering in pharmaceutical biotechnology since 1975: Trends, patterns, and networks," Research Policy, Elsevier, vol. 35(3), pages 431-446, April.
    22. Safarzynska, Karolina & van den Bergh, Jeroen C.J.M., 2011. "Beyond replicator dynamics: Innovation-selection dynamics and optimal diversity," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 229-245, May.
    23. Geels, Frank W., 2002. "Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study," Research Policy, Elsevier, vol. 31(8-9), pages 1257-1274, December.
    24. 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.
    25. Han, Yoo-Jin & Park, Yongtae, 2006. "Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries," World Patent Information, Elsevier, vol. 28(3), pages 235-247, September.
    26. Euiseok Kim & Yongrae Cho & Wonjoon Kim, 2014. "Dynamic patterns of technological convergence in printed electronics technologies: patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 975-998, February.
    27. Safarzyńska, Karolina & Frenken, Koen & van den Bergh, Jeroen C.J.M., 2012. "Evolutionary theorizing and modeling of sustainability transitions," Research Policy, Elsevier, vol. 41(6), pages 1011-1024.
    28. Gress, Bernard, 2010. "Properties of the USPTO patent citation network: 1963-2002," World Patent Information, Elsevier, vol. 32(1), pages 3-21, March.
    29. Iwai, Katsuhito, 2000. "A contribution to the evolutionary theory of innovation, imitation and growth," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 167-198, October.
    30. Xiaojun Hu & Ronald Rousseau & Jin Chen, 2012. "A new approach for measuring the value of patents based on structural indicators for ego patent citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(9), pages 1834-1842, September.
    31. Hélène Dernis & Mosahid Khan, 2004. "Triadic Patent Families Methodology," OECD Science, Technology and Industry Working Papers 2004/2, OECD Publishing.
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