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Examining An Unobtrusive Measure: Patent References As Citations ?

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  • Dana Wang

    (UTSA)

Abstract

Unobtrusive measures are desired in deductive research in the social sciences. Deductive research relies on sequential logical arguments and assumptions in order to test hypotheses. A key activity in deductive research is finding and using data that serve as proxies, representations, and measures of dependent or independent variables. Some researchers prefer to use unobtrusive data because of their belief that those who are studied do not alter their behavior and hence, the unobtrusive measures are not biased (Webb, Campbell, Schwartz, Sechrest 1966). An important unobtrusive data in the social sciences is U.S. patents. Researchers have extensively analyzed information listed under “References Cited,” treating them as records of the inventor’s or the applicant’s knowledge. Labeled “patent citations,” patent references have been subject of citation analysis and co-citation analysis. Citation analysis is premised on authors citing documents they consider to be important in the development of their research or work. Co-citation analysis is used to study the similarity of content in two documents.

Suggested Citation

  • Dana Wang, 2013. "Examining An Unobtrusive Measure: Patent References As Citations ?," Working Papers 0222mgt, College of Business, University of Texas at San Antonio.
    • Handle: RePEc:tsa:wpaper:0222mgt
    as

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    References listed on IDEAS

    as
    1. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    2. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    3. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    4. Martin Meyer, 2000. "What is Special about Patent Citations? Differences between Scientific and Patent Citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 93-123, August.
    5. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
    6. Gautam Ahuja & Riitta Katila, 2001. "Technological acquisitions and the innovation performance of acquiring firms: a longitudinal study," Strategic Management Journal, Wiley Blackwell, vol. 22(3), pages 197-220, March.
    7. Donna Marie DeCarolis & David L. Deeds, 1999. "The impact of stocks and flows of organizational knowledge on firm performance: an empirical investigation of the biotechnology industry," Strategic Management Journal, Wiley Blackwell, vol. 20(10), pages 953-968, October.
    8. Pakes, Ariel & Griliches, Zvi, 1980. "Patents and R&D at the firm level: A first report," Economics Letters, Elsevier, vol. 5(4), pages 377-381.
    9. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
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    Unobtrusive measure; patent references;

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