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An intellectual property-based corporate strategy: An R&D spend, patent, trademark, media communication, and market price innovation agenda

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Abstract

An intellectual property (IP)-centric, communication-based Innovation Agenda is proposed and investigated. The agenda, which is aligned with IP legal prescription, is defined as follows: the firm’s R&D expenditure is captured within products. The firm applies for a patent and files a trademark to protect its interests in the ‘patentable’ product, and issues a media communication, which may alter the perception of future cash flows, and thereby market price. Upon patent issuance and trademark registration, the firm will then seek another media communication. Spearman (partial) correlation analysis shows strong correlation among the various proxy metrics suggesting that the model basis may exist. The model proposes a novel link among national socioeconomic metrics, corporate strategy, and the technology based innovative firm. Finally, the model supports the inclusion of trademark and media communications data to be considered in socioeconomic modeling.

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References

  • Asness, C.S. (2005), Rubble logic: What did we learn from the great stock market bubble? Financial Analysts Journal, 61(6): 36–54.

    Article  Google Scholar 

  • Best, K. (2005), Internet finance and frenzy at the millennium. Consumption, Markets & Culture, 8(4): 361–378.

    Article  Google Scholar 

  • Bosworth, B.; Hymans, S.; Modigliani, F. (1975), The stock market and the economy. Brookings Papers on Economic Activity, 1975(2): 257–300.

    Article  Google Scholar 

  • Brock, W. A.; Hsief, D. A.; Lebaron, B. (1993), Nonlinear dynamics, chaos, and instability. The Journal of Finance, 48(1): 404–407.

    Article  Google Scholar 

  • Daizadeh, I. (2007a), Issued US patents, patent-related global academic & media publications, & the US market indices are correlated, with varying growth patterns. Scientometrics, 73: 29–36.

    Article  Google Scholar 

  • Daizadeh, I. (2007b), Intellectual property management in R&D intensive firms. International Journal of Intellectual Property Management, 1: 184–205

    Article  Google Scholar 

  • Daizadeh, I. (2007c), Patent journalism: An emergence of a new form of science communication. Under review.

  • Daizadeh, I. (2006a), Using intellectual property to map the evolution of a firm’s social structure: Tracing a biotechnology company from startup to bureaucracy to a multidivisional firm. Journal of Commercial Biotechnology, 13: 28–36

    Article  Google Scholar 

  • Daizadeh, I. (2006b), An example of information management in biology: Qualitative data economizing theory applied to the human genome project databases. Journal of the American Society for Information Science & Technology, 57: 244–250

    Article  Google Scholar 

  • Daizadeh, I. (2003a), Patents & the Organizational Structure of R&D Firms. University of Cambridge MBA Dissertation. Copyright by IRAJ DAIZADEH (67 pages)

  • Daizadeh, I. (2003b), Integrating intellectual property within the organizational social structure. Nature Biotechnology, 21: 573–575

    Article  Google Scholar 

  • Daizadeh, I.; Miller, D.; Glowalla, A.; Leamer, M.; Nandi, R.; Numark, C. I. (2002), A general approach for determining when to patent, publish, or protect information as a trade secret. Nature Biotechnology, 20: 1053–1054

    Article  Google Scholar 

  • Decarlo, L. T. (1997), On the meaning and use of kurtosis. Psychological Methods, 2(3): 292–307.

    Article  MathSciNet  Google Scholar 

  • Dufwenberg, M.; Lindqvist, T.; Moore, E. (2005), Bubbles and experience: An experiment. American Economic Review, 95(5): 1731–1737.

    Article  Google Scholar 

  • Ellett, F. S., Jr.; Ericson, D. P. (1986) Correlation, partial correlation, and causation. Synthese, 67(2): 157–173.

    Article  Google Scholar 

  • Engle, R. (2001), GARCH 101: The use of ARCH/GARCH models in applied econometrics. Journal of Economic Perspectives, 15(4): 157–168.

    Article  Google Scholar 

  • Factiva (2007), Data downloaded from http://global.factiva.com/ha/default.aspx on 29-Jan-2007.

  • Factiva Brochure in PDF format was obtained from http://www.factiva.com/collateral/files/factivacom_brochure_F-2544.pdf on 04-Jan-2007. Viewed as marketing materials, there is no author or other descriptive factors within this document.

  • Franses, P. H.; Van Dijk, D., Nonlinear Time Series Models in Empirical Finance. Cambridge University Press: Cambridge, United Kingdom, 2000.

    Google Scholar 

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

    Google Scholar 

  • Healy, P. M.; Palepu, K. G. (2001), Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature. Journal of Accounting and Economics, 31: 405–440.

    Article  Google Scholar 

  • Hall, B. H. (2004), Exploring the patent explosion. The Journal of Technology Transfer, 30(1–2): 35–48

    Article  Google Scholar 

  • Kyrtsou, C.; Leontitsis, A.; Siriopoulos, C. (2006), Exploring the impact of calendar effects on the dynamic structure and forecasts of financial time series. International Journal of Theoretical and Applied Finance, 9(1): 1–22.

    Article  MATH  MathSciNet  Google Scholar 

  • Landes, W. M., Posner, R. A., The Economic Structure of Intellectual Property Law. Harvard University Press. United States, 2003.

    Google Scholar 

  • Market (2007) The New York Stock Exchange (NYSE) and National Association of Securities Dealers Automated Quotation (NASDAQ) index values were downloaded from http://finance.yahoo.com on 29-Jan-2007.

  • Mendonca, S.; Pereira, T. S.; Godinho, M. M., Trademarks as indicator of innovation and industrial change. Research Policy, 33(9): 1385–1404.

  • Mikhail, O.; Baker, J. (2006), Further evidence on the presence of non-linearity in the DJIA. International Advances in Economic Research, 12(4): 552

    Article  Google Scholar 

  • Morck, R.; Yeung, B.; Yu, W. (2000), The information content of stock markets: why do emerging markets have synchronous stock price movements? Journal of Financial Economics, 58: 215–260.

    Article  Google Scholar 

  • NSF (2002), National Science Foundation, Division of Science Resource Statistics, Research and Development in Industry: NSF 06-322, Project Officer, Raymond M. Wolfe (Arlington, VA 2006). Data taken from: http://www.nsf.gov/statistics/nsf06322/tables.htm#group1 on 02-Feb-2007.

  • Ramello, G.B., What’s in a sign? Trademark law and economic theory. Journal of Economic Surveys, 20(4): 547–565.

  • Rigby, D. (2001), Moving upward in a downturn. Harvard Business Review, 79(6): 98–105.

    Google Scholar 

  • Rogers, M. (1998), The definition and measurement of innovation. Melbourne Institute Working Paper Number 10/98 obtained from: http://melbourneinstitute.com//wp/wp98n10.pdf on 19-May-2007.

  • Sato, A-H.; Takayasu, H. (1998), Dynamic numerical models of stock market price: from microscopic determinism to macroscopic randomness. Physica A, 250(1): 232–252.

    Article  Google Scholar 

  • Shimizu, S.; Hyvärinen, A.; Hoyer, P.O.; Kano, Y. (2006), Finding a causal ordering via independent component analysis. Computational Statistics & Data Analysis, 50(11): 3278–3293.

    Article  MATH  MathSciNet  Google Scholar 

  • SAS Institute, Inc. SAS Version 8.2, Cary, N.C.: SAS Institute, 1999.

    Google Scholar 

  • Shapiro, S. S.; Wilk, M. B. (1965) An analysis of variance test for normality (complete samples), Biometrika, 52(3–4): 591–611.

    MATH  MathSciNet  Google Scholar 

  • Stephens, M. A. (1974) EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69: 730–737.

    Article  Google Scholar 

  • Thode, H.C., Jr., Testing for Normality, Marcel Dekker: New York, 2002.

    MATH  Google Scholar 

  • USPTO, The data was downloaded from The United States Patent and Trademark Organization patent and trademark search engines located on http://www.uspto.gov on 27-Jan-2007.

Download references

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Authors and Affiliations

  1. Amgen Inc., M/S: 27-2-E, One Amgen Center Drive, Thousand Oaks, CA, 91320, USA

    Iraj Daizadeh

  2. Global Business Services, IBM, 400 N. Brand Blvd., Glendale, CA, 91203-2311, USA

    Iraj Daizadeh

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  1. Iraj Daizadeh
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Correspondence to Iraj Daizadeh.

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Daizadeh, I. An intellectual property-based corporate strategy: An R&D spend, patent, trademark, media communication, and market price innovation agenda. Scientometrics 80, 731–746 (2009). https://doi.org/10.1007/s11192-008-2105-9

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