Skip to main content
Log in

The Evolution of Knowledge Spillover and Company cluster in Semiconductor Industry

  • Published:
Journal of the Knowledge Economy Aims and scope Submit manuscript

Abstract

The purpose of this study is to scrutinize and characterize the dynamic evolution of involuntary knowledge spillover (patent citations among companies) and voluntary knowledge spillover (companies as joint owners/co-assignees) in the semiconductor industry. Analyzing US-issued patents divided into three eras (six-inch with precedent, eight-inch, and twelve-inch chip), this study discovers that the patent growth of this industry is significant during the period from 1997 to 2004. The “Core Actor” includes seven assignees such as AMD, IBM, INTEL, Micron Technology, Samsung Electronics, TSMC Taiwan, Toshiba with higher knowledge in/out flow in both eight-inch and twelve-inch eras. Among the 11 company clusters formed by co-assignees with voluntary knowledge spillover over eight- and twelve-inch eras, nine clusters belong to Japanese companies. This suggests that in this industry, Japanese companies present a closer relationship. The voluntary knowledge–flow relationships refer to the relationships de facto and they could be used to monitor technological knowledge relationship among competitors. In addition, the potential technology R&D partner could be selected as a chance of cooperation through the process of referencing involuntary knowledge–flow network which indicates technology overlaps among companies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Branstetter L (2001) Are knowledge spillovers international or intranational in scope? Microeconometric evidence from the US and Japan. Journal of International Economics 53(1):53–79

    Article  Google Scholar 

  2. Burt, RS (1992) The social structure of competition. In: Nohria N, Eccles RG (eds) Networks and Organizations. Harvard Business School Press, Boston, MA, pp 57–91

  3. Coe DT, Helpman E (1995) International R&D spillovers. European Economic Review 39(5):859–887

    Article  Google Scholar 

  4. Deng Y (2008) The value of knowledge spillovers in the U.S. semiconductor industry. International Journal of Industrial Organization 26(4):1044–1058

    Article  Google Scholar 

  5. Escribano A, Fosfuri A, Tribó JA (2009) Managing external knowledge flows: the moderating role of absorptive capacity. Research Policy 38(1):96–105

    Article  Google Scholar 

  6. Freeman LC (1979) Centrality in networks: I. conceptual clarification. Social Networks 1:215–239

    Article  Google Scholar 

  7. Granovetter MS (1973) The strength of weak ties. Am J Sociol 78(6):1360–1380

    Article  Google Scholar 

  8. Griffith R, Lee S, Reenen JV (2007) Is distance dying at last? Falling home bias in fixed effects models of patent citations, NBER Working Paper, No, 13338

    Google Scholar 

  9. Griliches Z (1990) Patent statistics as economic indicators: a survey. Journal of Economic Literature 28(4):1661–1707

    Google Scholar 

  10. Hagedoorn J (2003) Sharing intellectual property rights—an exploratory study of joint patenting amongst companies. Industrial and Corporate Change 12(5):1035–1050

    Article  Google Scholar 

  11. Hertzfeld HR, Link AN, Vonortas NS (2006) Intellectual property protection mechanisms in research partnerships. Research Policy 35(6):825–838

    Article  Google Scholar 

  12. Hoang H, Antoncic B (2003) Network-based research in entrepreneurship: a critical review. Journal of Business Venturing 18(2):165–187

    Article  Google Scholar 

  13. Holland PW, Leinhardt S (1971) Transitivity in structural models of small groups. Comparative Group Studies 2:107–124

    Google Scholar 

  14. Jaffe AB, Lerner J (2001) Reinventing public R&D: patent policy and the commercialization of national laboratory technologies. Rand J Econ 32(1):167–199

    Article  Google Scholar 

  15. Jaffe AB, Trajtenberg M, Fogarty MS (2000) Knowledge spillovers and patent citations: evidence from a survey of inventors. Am Econ Rev 90(2):215–218

    Article  Google Scholar 

  16. Jaffe AB, Trajtenberg M, Henderson R (1993) Geographic localization of knowledge spillovers as evidenced by patent citations. Quarterly Journal of Economics 108(3):577–598

    Article  Google Scholar 

  17. Jaffe AB, Trajtenberg M, Romer PM (2005) Patents, citations, and innovations: a window on the knowledge economy. MIT Press, Boston

    Google Scholar 

  18. Keller W (1998) Are international R&D spillovers trade-related? Analyzing spillovers among randomly matched trade partners. European Economic Review 42(8):1469–1481

    Article  Google Scholar 

  19. Li YT, Huang MH, Chen DZ (2011) Semiconductor industry value chain-characters’ technology evolution. Industrial Management & Data Systems 111(3):370–390

    Article  Google Scholar 

  20. Scherer FM (1982) Inter-industry technology flows in the United States. Research Policy 11(4):227–245

    Article  Google Scholar 

  21. Seidman SB, Foster BL (1978) A graph–theoretic generalization of the clique concept. The Journal of Mathematical Sociology 6(1):139–154

    Article  Google Scholar 

  22. Tracy D (2010) Semiconductor equipment and materials outlook. SEMICON Singapore, Singapore

    Google Scholar 

  23. USPTO (2008). 35 U. S. C. 262 Joint owners. http://www.uspto.gov/web/offices/pac/mpep/documents/0300_301.htm. Accessed 15 Sept 2010.

  24. Verspagen B, De Loo I (1999) Technology spillovers between sectors and over time. Technological Forecasting and Social Change 60(3):215–235

    Article  Google Scholar 

  25. Von Wartburg I, Teichert T, Rost K (2005) Inventive progress measured by multi-stage patent citation analysis. Research Policy 34(10):1591–1607

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mu-hsuan Huang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, Cc., Huang, Mh. & Chen, Dz. The Evolution of Knowledge Spillover and Company cluster in Semiconductor Industry. J Knowl Econ 3, 109–124 (2012). https://doi.org/10.1007/s13132-011-0080-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13132-011-0080-5

Keywords

Navigation