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The effect of collaborative innovation on ICT-based technological convergence: A patent-based analysis

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  • Inyoung Hwang

Abstract

Collaborative innovation is widely recognized as an instrument to promote technological convergence. However, its effects on technological convergence remain debatable. Using firm-level panel data of patenting in the Korean ICT industry from 1980 to 2015, I examine the effects of four collaborative innovation types (i.e., Inter-firm, Inter-ICT firm, Firm-University, and Firm-Government Research Institution (GRI) on ICT-based technological convergence. The results reveal the magnitude of Inter-ICT firm collaborative innovation was found to be significant and largest. The effects of the remaining three collaborative innovation types were significant but inconsiderable. Governments may consider the differential effects of collaboration types when designing incentive systems to promote technological convergence.

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  • Inyoung Hwang, 2020. "The effect of collaborative innovation on ICT-based technological convergence: A patent-based analysis," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-20, February.
    • Handle: RePEc:plo:pone00:0228616
    DOI: 10.1371/journal.pone.0228616
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    References listed on IDEAS

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    1. Geert Duysters & John Hagedoorn, 1998. "Technological Convergence in the IT Industry: The Role of Strategic Technology Alliances and Technological Competencies," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 5(3), pages 355-368.
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    Cited by:

    1. Jungpyo Lee & So Young Sohn, 2021. "Recommendation system for technology convergence opportunities based on self-supervised representation learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 1-25, January.
    2. Bojan Ćudić & Peter Alešnik & David Hazemali, 2022. "Factors impacting university–industry collaboration in European countries," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-24, December.
    3. Prokop, Viktor & Hajek, Petr & Stejskal, Jan, 2021. "Configuration Paths to Efficient National Innovation Ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    4. Changchun Li & Sen Wang, 2022. "Digital Optimization, Green R&D Collaboration, and Green Technological Innovation in Manufacturing Enterprises," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    5. Eunsook Jeon & Kyungkook Kim & Hyunjeong Park & Keuntae Cho, 2023. "Global Collaboration in Technology Sectors during the COVID-19 Pandemic: A Patent Review," Sustainability, MDPI, vol. 15(15), pages 1-19, August.
    6. Wenjing Zhu & Bohong Ma & Lele Kang, 2022. "Technology convergence among various technical fields: improvement of entropy estimation in patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7731-7750, December.
    7. Nicola Melluso & Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Rapid detection of fast innovation under the pressure of COVID-19," Papers 2102.00197, arXiv.org.

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