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Knowledge patterns and sources of leadership: mapping the semiconductor miniaturization trajectory

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  • Marianna EPICOCO

Abstract

This article examines the technological capabilities that national organizations generated and accumulated along the long-term evolution of the miniaturization trajectory, the most important direction of change in the semiconductor industry. By building an original dataset of patents and using three algorithms for the analysis of citation networks, we first map the pattern of technological knowledge underlying the advancement of the miniaturization trajectory. We identify three different dimensions of the knowledge pattern and characterize them in terms of distinctive knowledge properties. Second, we analyze the geographical and organizational distribution of the knowledge pattern. The results provide evidence for significant differences in the technological capabilities of national organizations, as revealed by the magnitude and the properties of the technological knowledge that these organizations generated over time. We find, among the other things, that while US organizations remained strong over the whole time period considered, the technological capabilities of European organizations were considerably eroded in the most recent years by the emergence of SEA countries.

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  • Marianna EPICOCO, 2012. "Knowledge patterns and sources of leadership: mapping the semiconductor miniaturization trajectory," Cahiers du GREThA (2007-2019) 2012-09, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
  • Handle: RePEc:grt:wpegrt:2012-09
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    Cited by:

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    3. Huenteler, Joern & Ossenbrink, Jan & Schmidt, Tobias S. & Hoffmann, Volker H., 2016. "How a product’s design hierarchy shapes the evolution of technological knowledge—Evidence from patent-citation networks in wind power," Research Policy, Elsevier, vol. 45(6), pages 1195-1217.
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    6. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    7. Flavia Filippin, 2021. "Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6443-6477, August.
    8. Triulzi, G., 2014. "Technology life cycle and specialization patterns of latecomer countries: The case of the semiconductor industry," MERIT Working Papers 2014-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    10. Huenteler, Joern & Schmidt, Tobias S. & Ossenbrink, Jan & Hoffmann, Volker H., 2016. "Technology life-cycles in the energy sector — Technological characteristics and the role of deployment for innovation," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 102-121.
    11. Hélène Dernis & Mariagrazia Squicciarini & Roberto Pinho, 2016. "Detecting the emergence of technologies and the evolution and co-development trajectories in science (DETECTS): a ‘burst’ analysis-based approach," The Journal of Technology Transfer, Springer, vol. 41(5), pages 930-960, October.
    12. Huang, Ying & Chen, Lixin & Zhang, Lin, 2020. "Patent citation inflation: The phenomenon, its measurement, and relative indicators to temper its effects," Journal of Informetrics, Elsevier, vol. 14(2).
    13. Epicoco, Marianna & Oltra, Vanessa & Maïder Saint, Jean, 2014. "Knowledge dynamics and sources of eco-innovation: Mapping the Green Chemistry community," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 388-402.
    14. Nicolò Barbieri & Claudia Ghisetti & Marianna Gilli & Giovanni Marin & Francesco Nicolli, 2016. "A Survey Of The Literature On Environmental Innovation Based On Main Path Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 596-623, July.
    15. Jakob Hoffmann & Johannes Glückler, 2023. "Technological Cohesion and Convergence: A Main Path Analysis of the Bioeconomy, 1900–2020," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    16. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
    17. Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
    18. Marianna Epicoco, 2016. "Patterns of innovation and organizational demography in emerging sustainable fields: An analysis of the chemical sector," Post-Print hal-03381224, HAL.
    19. Blandinieres, Florence, 2019. "Anatomy of the medical innovation process: What are the consequences of replicability issues on innovation?," ZEW Discussion Papers 19-011, ZEW - Leibniz Centre for European Economic Research.
    20. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
    21. Kapoor, Rahul & McGrath, Patia J., 2014. "Unmasking the interplay between technology evolution and R&D collaboration: Evidence from the global semiconductor manufacturing industry, 1990–2010," Research Policy, Elsevier, vol. 43(3), pages 555-569.
    22. Fang Han & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2022. "Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    23. Kuan, Chung-Huei & Lin, Jia-Tian & Chen, Dar-Zen, 2021. "Characterizing Patent Assignees by Their Structural Positions Relative to a Field’s Evolutionary Trajectory," Journal of Informetrics, Elsevier, vol. 15(4).

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    More about this item

    Keywords

    Knowledge dynamics; Technological capabilities; Semiconductor miniaturization trajectory; Patent analysis; Citation network analysis.;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment

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