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Early Patterns of Commercialization in Graphene

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Science, Technology and Innovation Policy for the Future

Abstract

Graphene is a novel nanomaterial consisting of a single layer of carbon atoms. It has attracted significant attention due to its distinctive properties, which include great strength, electrical and thermal conductivity, and lightness. While many diverse and exciting potential applications are discussed, the commercialization of scientific discoveries such as graphene is inherently uncertain. There is often considerable time lag between the science, the early development of a new technology, and its adoption by corporate and other actors. In part this relates to the extent to which firms are able to absorb knowledge and engage in learning to implement applications of the new technology. In this chapter, we consider three different possible patterns of corporate learning and activity These are: (1) a linear process, where patenting follows scientific discovery; (2) a “double-boom” phenomenon, where corporate (patenting) activity is first concentrated in technological improvements and then followed by a period of technology productization; and (3) a concurrent model, where scientific discovery in publications occurs in parallel with patenting. We analyze corporate publication and patent activity across countries and lines of application. The results indicate that, while graphene as a whole is experiencing concurrent scientific development and patenting growth, country- and application-specific trends offer some evidence of both the linear and double-boom models. Thus the empirical path of development cannot be accounted for by just one of the models; nor is one model sufficient guidance for policy and strategy formation.

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Notes

  1. 1.

    http://www.nano.gov/html/about/home_about.html. Accessed 15 Apr 2011.

References

  • Abernathy W, Utterback J (1978) Patterns of industrial innovation. Technol Rev 80(7):40–47

    Google Scholar 

  • Brouwer E, Kleinknecht A (1999) Innovative output, and a firm’s propensity to patent: an exploration of CIS micro data. Res Policy 28(6):615–624

    Article  Google Scholar 

  • Cockburn I, Henderson R, Stern S (1999) The diffusion of science driven drug discovery: organizational change in pharmaceutical research. NBER Working Paper 7359. Cambridge, MA

    Google Scholar 

  • Cohen W, Levinthal D (1989) Absorptive capacity: a new perspective on learning and innovation. Adm Sci Q 35(1):128–152

    Article  Google Scholar 

  • Cohen W, Nelson R, Walsh J (2000) Protecting their intellectual assets: appropriability conditions and why U.S. manufacturing firms patent (or not). NBER Working Paper 7552, Cambridge, MA

    Google Scholar 

  • Cohen SS, Di Minin A, Motoyama Y, Palmberg C (2009) The persistence of home bias for important r&d in wireless telecom and automobiles. Rev Policy Res 26(1/2):55–76. doi:10.1111/j.1541-1338.2008.00369.x

    Article  Google Scholar 

  • Edquist C (ed) (1997) Systems of innovation. Technologies, institutions and organizations. Pinter Publisher, London/Washington

    Google Scholar 

  • Grupp H (2000) Learning in a science-driven market: the case of lasers. Ind Corp Change 9(1):143–172

    Article  Google Scholar 

  • Helfat CE, Lieberman MB (2002) The birth of capabilities: market entry and the importance of pre-history. Ind Corp Change 11(4):725–760

    Article  Google Scholar 

  • Hobday M (2005) Firm-level innovation models: perspectives on research in developed and developing countries. TASM 17(2):121–146

    Google Scholar 

  • Hoppe H (2000) Second-mover advantages in the strategic adoption of new technology under uncertainty. Int J Ind Organ 18(2):315–338. doi:10.1016/S0167-7187(98)00020-4

    Article  Google Scholar 

  • Hoppe H (2002) The timing of new technology adoption: theoretical models and empirical evidence. Manch Sch 70(1):56–76. doi:10.1111/1467-9957.00283

    Article  Google Scholar 

  • ITRS (2010) International Technology Roadmap for Semiconductors 2010 Update Overview. http://www.itrs.net/Links/2010ITRS/2010Update/ToPost/2010_Update_Overview.pdf. Accessed 14 Apr 2011

  • Katila R, Ahuja G (2002) Something old, something new: a longitudinal study of search behavior and new product introduction. Acad Manage J 456:1183–1194

    Article  Google Scholar 

  • Kogut B, Kulatilaka N (2001) Capabilities as real options. Organ Sci 12(6):744–758

    Article  Google Scholar 

  • Lavie D, Stettner U, Tushman ML (2010) Exploration and exploitation within and across organizations. Acad Manage Ann 4:109–155

    Article  Google Scholar 

  • Lieberman MB, Montgomery DB (1988) First-mover advantages. Strateg Manage J 9:41–58

    Article  Google Scholar 

  • Lieberman MB, Montgomery DB (1998) First-mover (dis)advantages: retrospective and link with the resource-based view. Strateg Manage J 19:1111–1125

    Article  Google Scholar 

  • Liebowitz SJ, Margolis SE (1995) Are network externalities a new source of market failure? Res Law Econ 7:1–22

    Google Scholar 

  • Lundvall BÁ (ed) (1992) National systems of innovation. Towards a theory of innovation and interactive learning. Pinter Publisher, London

    Google Scholar 

  • Malerba F (2005) Sectoral systems: how and why innovation differs across sectors. In: Fagerberg J, Mowery D, Nelson R (eds) Oxford handbook of innovation. Oxford University Press, Oxford

    Google Scholar 

  • March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2:71–87

    Article  Google Scholar 

  • Mowery D (2011) Nanotechnology and the U.S. national innovation system: continuity and change. J Technol Transfer. doi:10.1007/s10961-011-9210-2

    Google Scholar 

  • Nelson RR, Winter S (1982) An evolutionary theory of economic change. Harvard University Press, Cambridge, MA

    Google Scholar 

  • Nobelprize.org (2011) The Nobel Prize in Physics 2010. Nobelprize.org. 2 Sep 2011 http://www.nobelprize.org/nobel_prizes/physics/laureates/2010/

  • Pavitt K (1984) Sectoral patterns of technical change: towards a taxonomy and a theory. Res Policy 13(6):343–373. doi:10.1016/0048-7333(84)90018-0

    Article  Google Scholar 

  • Porter ME (1990) The competitive advantage of nations. Free Press, New York

    Google Scholar 

  • Porter AL, Youtie J, Shapira P, Schoeneck D (2008) Refining search terms for nanotechnology. J Nanoparticle Res 10(5):715–728

    Article  Google Scholar 

  • Pries F, Guild P (2011) Commercializing inventions resulting from university research: analyzing the impact of technology characteristics on subsequent business models. Technovation 31(4):151–160. doi:10.1016/j.technovation.2010.05.002

    Article  Google Scholar 

  • Rogers EM (2003) Diffusion of innovations, 5th edn. Free Press, New York

    Google Scholar 

  • Rogers D (2011) Graphene is beginning to revolutionise the market for plastic electronics. Plast Electron 3(6):57–61

    Google Scholar 

  • Rothaermel FT, Alexandre MT (2009) Ambidexterity in technology sourcing: the moderating role of absorptive capacity. Organ Sci 20:759–780

    Article  Google Scholar 

  • Schinwald A, Murphy FA, Jones A, MacNee W, Donaldson K (2012) Graphene-based nanoplatelets: a new risk to the respiratory system as a consequence of their unusual aerodynamic properties. ACS Nano 6(1):736–746. doi:10.1021/nn204229f

    Article  Google Scholar 

  • Schmoch U (2007) Double-boom cycles and the comeback of science-push and market-pull. Res Policy 36(7):1000–1015

    Article  Google Scholar 

  • Segal M (2009) Selling graphene by the ton. Nat Nanotechnol 4:612–614

    Article  Google Scholar 

  • Shapira P, Youtie J, Mohapatra S (2003) Linking research production and development outcomes at the regional level. Res Evaluat 12(1):105–116

    Article  Google Scholar 

  • Shapira P, Youtie J, Kay L (2011) National innovation systems and the globalization of nanotechnology innovation. J Technol Transfer. doi:10.1007/s10961-011-9212-0

    Google Scholar 

  • Takeuchi H, Nonaka I (1986) The new product development game. Harv Bus Rev 64:137–146

    Google Scholar 

  • Teece DJ (1986) Profiting from technological innovation: implications for integration, collaboration, licensing and public policy. Res Policy 15(6):285–305

    Article  Google Scholar 

  • Tuppura A, Hurmelinna-Laukkanen P, Puumalainen K, Jantunen A (2010) The influence of appropriability conditions on the firm’s entry timing orientation. J High Technol Manage Res 21:97–107

    Article  Google Scholar 

  • Van Noorden R (2011) Chemistry: the trials of new carbon. Nature 469(7328):14–6. Nature Publishing Group. doi:10.1038/469014a

    Google Scholar 

Download references

Acknowledgments

This study was undertaken with support from the Center for Nanotechnology in Society at Arizona State University (sponsored by the National Science Foundation under cooperative agreement #0937591). Additional support was provided through a UK-US Collaboration Development Award (Department for Business, Innovation & Skills, and the Foreign & Commonwealth Office’s Global Partnership Fund); and the UK-US Higher Education, New Partnership Fund (British Council). Any opinions, findings, and conclusions are those of the authors and do not necessarily reflect the views of the sponsors.

This paper was previously published as Philip Shapira, Jan Youtie and Sanjay Arora, “Early patterns of commercial activity in graphene,” Journal of Nanoparticle Research, 2012, 14:811, DOI: 10.1007/s11051-012-0811-y. It is reproduced here, with minor revisions. Permission from Springer is gratefully acknowledged.

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Shapira, P., Youtie, J., Arora, S. (2013). Early Patterns of Commercialization in Graphene. In: Meissner, D., Gokhberg, L., Sokolov, A. (eds) Science, Technology and Innovation Policy for the Future. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31827-6_9

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