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Strong ties and weak ties of the knowledge spillover network in the semiconductor industry

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  • Wang, Chun-Chieh
  • Sung, Hui-Yun
  • Chen, Dar-Zen
  • Huang, Mu-Hsuan
Abstract
This study aims to analyse knowledge spillovers across semiconductor companies through two channels with time evolution. Depending upon the wafer diameters, this study divided the technological development into three periods: 6in. (1976–1991), 8in. (1989–1999) and 12in. (1997–2011). R&D cooperation and patent citations were used to measure the strong ties and weak ties of knowledge spillover networks. Adopting patent bibliometrics and social network analysis, this study examined main companies' network structures and channels of knowledge spillovers. Results showed that semiconductor-related knowledge spilled over more efficiently through weak ties than through strong ties. Furthermore, it was found that strong ties could be used to monitor the development of shared technologies, and weak ties could be used to monitor the development of specific technologies. During the period of the 6-inch wafer diameter, companies that had high degrees of centrality in both strong and weak ties of knowledge spillovers included: Toshiba, Mitsubishi, NEC, Hitachi and National Semi. During the period of the 8-inch wafer diameter, such companies included: STMicroelectronics, Mitsubishi, NEC, TI, Toshiba, Siemens and Philips. During the 12-inch wafer diameter, such companies included: Samsung, Toshiba, NEC and STMicroelectronics.

Suggested Citation

  • Wang, Chun-Chieh & Sung, Hui-Yun & Chen, Dar-Zen & Huang, Mu-Hsuan, 2017. "Strong ties and weak ties of the knowledge spillover network in the semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 114-127.
    • Handle: RePEc:eee:tefoso:v:118:y:2017:i:c:p:114-127
    DOI: 10.1016/j.techfore.2017.02.011
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    20. Chollet, Barthélemy & Revet, Karine, 2023. "Digging deep or scratching the surface? Contingent innovation outcomes of seeking advice from geographically distant ties," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
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