THE STRUCTURE OF PATENT AUTHORSHIP NETWORKS IN JAPANESE MANUFACTURING COMPANIES

Kohei Tsuda, Frank J. Rinaldo, Victor V. Kryssanov, Ruck Thawonmas

2006

Abstract

Technological and research strategies are becoming more significant as they create future value in the market. The core of these strategies is the creation of patents, which help eliminate or contain competition. Companies seek to learn the research strategies of their competitors. At the same time, all companies try to hide their own strategies but they generally cannot, because patents have to be filed and therefore exposed at a patent office and even made globally (e.g. via the WWW) accessible on-line. Part of the technological strategy of a company can be determined by observing the patents it files, their timing and their authors. There have been many studies about patents reported in the literature, with most of them focusing on the connectivities existing in co-citation, co-patent networks. In the presented work, the focus is on the inventors. Given the patent files of a company, one could possibly predict the company’s current and future research and production strategies. Furthermore, if the inventors are known, the human resources of the corresponding companies could naturally be scrutinized. The latter would allow to estimate the mechanism prevailing in the process of patent creation at a specific company. A novel approach to analyze the professional activities of company inventors is proposed and applied to determine the inventive strategy of Japanese manufacturing companies. The presented results can be used to optimize knowledge and recourse management within a company.

References

  1. Akaike, H., 1983. Information measures and model selection. International Statistical Institute, 44, 277- 291.
  2. Bhattacharya, S., and Meyer, M., 2003. Large firms and the science-technology interface - Patents, patent citations, and scientific output of multinational corporations in thin films. Scientometrics, 58, 265- 279.
  3. Bixby, K., 1987. Superteams, Fontana, London.
  4. Burgelman, R.A., Christensen, C.M., and Wheelwright SC., 2003. Wheelwright, Strategic Management of Technology and Innovation, 4th edition. McGrawHill/Irwin.
  5. Chen, C.M., and Hicks, D., 2004. Tracing knowledge diffusion. Scientometrics, 59, 199-211.
  6. Huang, M.H., Chiang, L.Y., and Chen, D.Z., 2003. Constructing a patent citation map using bibliographic coupling: A study of Taiwan's high-tech companies. Scientometrics, 58, 489-506.
  7. Imai, K., 1987. Kaizen, Random House, New York.
  8. Jaffe, A.B., and Trajtenberg, M., 1996. Flows of knowledge from universities and federal laboratories: Modeling the flow of patent citations over time and across institutional and geographic boundaries. Proceedings of the National Academy of Sciences of the United States of America, 93, 12671-12677.
  9. Kryssanov, V. V., Rinaldo, F.J., Kuleshov, E.L., Ogawa, H., 2006. Modeling the dynamics of social networks. This volume.
  10. Kryssanov, V.V., Kakusho, K., Kuleshov, E.L., Minoh, M., 2005. Modeling hypermedia-based communication. Information Sciences, 174, 37-53.
  11. Lillrank, P., Kano, N.j, 1990. Continuous Improvement: Quality control circles in Japanese industry, University of Michigan Press, Ann Arbor.
  12. Liu, X., Bollen, J., Nelson, M.L., Van de Sompel, H., 2005. Co-Authorship Networks in the Digital Library Research Community. Information Processing and Management, 41, 1462-1480.
  13. Meyer ,M.S., 2001. Patent citation analysis in a novel field of technology: An exploration of nano-science and nano-technology. Scientometrics, 51, 163-183.
  14. Mitzenmacher, M., 2003. A Brief History of Generative Models for Power Law and Lognormal Distributions. Internet Mathematics, 1, 226-251.
  15. Mogee, M.E., and Kolar, R.G., 1999. Patent co-citation analysis of Eli Lilly & Co. patents. Expert Opinion on Therapeutic Patents, 9, 291-305.
  16. Newman, M.E.J., 2005. Power laws, Pareto distributions and Zipf's law. Contemporary Physics, 46, 323-351.
  17. OECD., 2001. Science, Technology and Industry Outlook, OECD Publishing.
  18. Probert, D., and Shehabuddeen, N., 1999. Technology road mapping: the issues of managing technology change. International Journal of Technology Management, 17, 646-661.
  19. Rivette, K.G. and Kline, D. 2000. Rembrandts in the Attic: Unlocking the Hidden Value of Patents, HBS Press, Boston.
  20. Sakamoto, Y., Ishiguro, M., and Kitagawa, G., 1986. Akaike information criterion statistics, KTK Scientific. Tokyo.
  21. Singh, J., 2005. Collaborative networks as determinants of knowledge diffusion patterns. Management Science, 51, 756-770.
  22. Tijssen, R.J.W., 2001. Global and domestic utilization of industrial relevant science: patent citation analysis of science-technology interactions and knowledge flows. Research Policy, 30, 35-54.
  23. Verbeek, A., Debackere, K., Luwel, M., Andries, P., Zimmermann, E., and Deleus, F., 2002. Linking science to technology: Using bibliographic references in patents to build linkage schemes. Scientometrics, 54, 399-420.
  24. Verspagen, B., 2000. The role of large multinationals in the Dutch technology infrastructure. A patent citation analysis. Scientometrics, 47, 427-448.
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Paper Citation


in Harvard Style

Tsuda K., J. Rinaldo F., V. Kryssanov V. and Thawonmas R. (2006). THE STRUCTURE OF PATENT AUTHORSHIP NETWORKS IN JAPANESE MANUFACTURING COMPANIES . In Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2006) ISBN 978-972-8865-62-7, pages 289-293. DOI: 10.5220/0001427102890293


in Bibtex Style

@conference{ice-b06,
author={Kohei Tsuda and Frank J. Rinaldo and Victor V. Kryssanov and Ruck Thawonmas},
title={THE STRUCTURE OF PATENT AUTHORSHIP NETWORKS IN JAPANESE MANUFACTURING COMPANIES},
booktitle={Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2006)},
year={2006},
pages={289-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001427102890293},
isbn={978-972-8865-62-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on e-Business - Volume 1: ICE-B, (ICETE 2006)
TI - THE STRUCTURE OF PATENT AUTHORSHIP NETWORKS IN JAPANESE MANUFACTURING COMPANIES
SN - 978-972-8865-62-7
AU - Tsuda K.
AU - J. Rinaldo F.
AU - V. Kryssanov V.
AU - Thawonmas R.
PY - 2006
SP - 289
EP - 293
DO - 10.5220/0001427102890293