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Analysis of the Dynamic Landscape of Scientific Innovation in the Chip Domain

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  • Jianqi Mao
  • Xiaxia Guo

Abstract

Chip is the core of the electronic information industry, and its current "neck" phenomenon is rooted in the failure to keep up with basic research. This study aims to provide a clear landscape of the dynamics of scientific innovation in the chip domain. Specifically, this study uses bibliometrics, social network analysis, and SPLC algorithm-based master path analysis to analyze spatial and temporal trends, collaboration characteristics, knowledge flows, and mainstream research paths through the global output of scientific paper in the field of the chip. The results show that the scientific output in this field has grown significantly, the network size is expanding, a few countries/regions and organizations are in the main position of chip science innovation, and the research themes on the mainstream research paths are concentrated in chip manufacturing. The study can provide lessons for researchers, policymakers, and research funders.

Suggested Citation

  • Jianqi Mao & Xiaxia Guo, 2021. "Analysis of the Dynamic Landscape of Scientific Innovation in the Chip Domain," International Business Research, Canadian Center of Science and Education, vol. 14(12), pages 1-1, December.
    • Handle: RePEc:ibn:ibrjnl:v:14:y:2021:i:12:p:1
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    1. Boly, Vincent & Morel, Laure & Assielou, N’Doli Guillaume & Camargo, Mauricio, 2014. "Evaluating innovative processes in french firms: Methodological proposition for firm innovation capacity evaluation," Research Policy, Elsevier, vol. 43(3), pages 608-622.
    2. Takashi Iino & Hiroyasu Inoue & Yukiko U. Saito & Yasuyuki Todo, 2021. "How does the global network of research collaboration affect the quality of innovation?," The Japanese Economic Review, Springer, vol. 72(1), pages 5-48, January.
    3. Yun Liu & Zhe Yan & Yijie Cheng & Xuanting Ye, 2018. "Exploring the Technological Collaboration Characteristics of the Global Integrated Circuit Manufacturing Industry," Sustainability, MDPI, vol. 10(1), pages 1-23, January.
    4. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    5. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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