IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v82y2010i1d10.1007_s11192-009-0034-x.html
   My bibliography  Save this article

Analyzing the nonlinear effects of firm size, profitability, and employee productivity on patent citations of the US pharmaceutical companies by using artificial neural network

Author

Listed:
  • Yu-Shan Chen

    (National Yunlin University of Science and Technology)

  • Ke-Chiun Chang

    (National Yunlin University of Science and Technology)

Abstract

This study utilized artificial neural network (ANN) to explore the nonlinear influences of firm size, profitability, and employee productivity upon patent citations of the US pharmaceutical companies. The results showed that firm size, profitability, and employee productivity of the US pharmaceutical companies had the nonlinearly and monotonically positive influences upon their patent citations. Therefore, if US pharmaceutical companies want to enhance their innovation performance, they should pay attention on their firm size, profitability, and employee productivity.

Suggested Citation

  • Yu-Shan Chen & Ke-Chiun Chang, 2010. "Analyzing the nonlinear effects of firm size, profitability, and employee productivity on patent citations of the US pharmaceutical companies by using artificial neural network," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 75-82, January.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:1:d:10.1007_s11192-009-0034-x
    DOI: 10.1007/s11192-009-0034-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0034-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-009-0034-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Ernst, Holger, 2001. "Patent applications and subsequent changes of performance: evidence from time-series cross-section analyses on the firm level," Research Policy, Elsevier, vol. 30(1), pages 143-157, January.
    3. Black, Sandra E & Lynch, Lisa M, 1996. "Human-Capital Investments and Productivity," American Economic Review, American Economic Association, vol. 86(2), pages 263-267, May.
    4. Mourad Dakhli & Dirk De Clercq, 2004. "Human capital, social capital, and innovation: a multi-country study," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 16(2), pages 107-128, March.
    5. Branch, Ben, 1974. "Research and Development Activity and Profitability: A Distributed Lag Analysis," Journal of Political Economy, University of Chicago Press, vol. 82(5), pages 999-1011, Sept./Oct.
    6. Yong-Gil Lee & Jeong-Dong Lee & Yong-Il Song & Se-Jun Lee, 2007. "An in-depth empirical analysis of patent citation counts using zero-inflated count data model: The case of KIST," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 27-39, January.
    7. Del Monte, Alfredo & Papagni, Erasmo, 2003. "R&D and the growth of firms: empirical analysis of a panel of Italian firms," Research Policy, Elsevier, vol. 32(6), pages 1003-1014, June.
    8. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June.
    9. Patel, Pari & Pavitt, Keith, 1997. "The technological competencies of the world's largest firms: Complex and path-dependent, but not much variety," Research Policy, Elsevier, vol. 26(2), pages 141-156, May.
    10. Xavier Polanco & Claire François & Jean-Charles Lamirel, 2001. "Using artificial neural networks for mapping of scienceand technology: A multi-self-organizing-maps approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 267-292, April.
    11. F. M. Scherer, 1965. "Corporate Inventive Output, Profits, and Growth," Journal of Political Economy, University of Chicago Press, vol. 73, pages 290-290.
    12. Kamien,Morton I. & Schwartz,Nancy L., 1982. "Market Structure and Innovation," Cambridge Books, Cambridge University Press, number 9780521293853, December.
    13. Kamien, Morton I & Schwartz, Nancy L, 1978. "Self-Financing of an R&D Project," American Economic Review, American Economic Association, vol. 68(3), pages 252-261, June.
    14. Fariborz Damanpour, 1996. "Organizational Complexity and Innovation: Developing and Testing Multiple Contingency Models," Management Science, INFORMS, vol. 42(5), pages 693-716, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ming-Chao Huang & Shih-Chieh Fang & Shao-Chi Chang, 2011. "Tracking R&D behavior: bibliometric analysis of drug patents in the Orange Book," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 805-818, September.
    2. Varshney, Mayank, 2023. "Learning-by-hiring: How do rival firms learn from focal firm's hiring," Research Policy, Elsevier, vol. 52(2).
    3. Arash Hajikhani & Arho Suominen, 2022. "Mapping the sustainable development goals (SDGs) in science, technology and innovation: application of machine learning in SDG-oriented artefact detection," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6661-6693, November.
    4. Zhang, Sifei & Yuan, Chien-Chung & Chang, Ke-Chiun & Ken, Yun, 2012. "Exploring the nonlinear effects of patent H index, patent citations, and essential technological strength on corporate performance by using artificial neural network," Journal of Informetrics, Elsevier, vol. 6(4), pages 485-495.
    5. Gulraze Wakil, 2020. "Firm size proxies and the value relevance of predictive stock return models," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(3), pages 434-457, July.
    6. Yongli Zhang & Sanggyun Na & Jianguang Niu & Beichen Jiang, 2018. "The Influencing Factors, Regional Difference and Temporal Variation of Industrial Technology Innovation: Evidence with the FOA-GRNN Model," Sustainability, MDPI, vol. 10(1), pages 1-19, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cohen, Wesley M., 2010. "Fifty Years of Empirical Studies of Innovative Activity and Performance," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 129-213, Elsevier.
    2. Maria Chiara Di Guardo & Kathryn Rudie Harrigan & Elona Marku, 2019. "M&A and diversification strategies: what effect on quality of inventive activity?," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(3), pages 669-692, September.
    3. Yu-Shan Chen, 2011. "Using patent analysis to explore corporate growth," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 433-448, August.
    4. Yu-Shan Chen & Ke-Chiun Chang, 2009. "Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 637-655, September.
    5. Bart Leten & Rene Belderbos & Bart Van Looy, 2016. "Entry and Technological Performance in New Technology Domains: Technological Opportunities, Technology Competition and Technological Relatedness," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1257-1291, December.
    6. Colombelli, Alessandra & Haned, Naciba & Le Bas, Christian, 2013. "On firm growth and innovation: Some new empirical perspectives using French CIS (1992–2004)," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 14-26.
    7. Choi, Mincheol & Lee, Chang-Yang, 2021. "Technological diversification and R&D productivity: The moderating effects of knowledge spillovers and core-technology competence," Technovation, Elsevier, vol. 104(C).
    8. Yu-Shan Chen & Chun-Yu Shih, 2011. "Re-examine the relationship between patents and Tobin’s q," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 781-794, December.
    9. William Griffiths & Elizabeth Webster, 2009. "What Governs Firm-Level R&D: Internal or External Factors?," Melbourne Institute Working Paper Series wp2009n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    10. Lichtenthaler, Ulrich, 2010. "Determinants of proactive and reactive technology licensing: A contingency perspective," Research Policy, Elsevier, vol. 39(1), pages 55-66, February.
    11. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    12. Kim, Nami & Kim, Eonsoo & Lee, Jongseon, 2021. "Innovating by eliminating: Technological resource divestiture and firms’ innovation performance," Journal of Business Research, Elsevier, vol. 123(C), pages 176-187.
    13. Kuei-Kuei Lai & Chien-Yu Lin & Yu-Hsin Chang & Ming-Chung Yang & Wen-Goang Yang, 2017. "A structured approach to explore technological competencies through R&D portfolio of photovoltaic companies by patent statistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1327-1351, June.
    14. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
    15. Yu-Shan Chen & Ke-Chiun Chang, 2012. "Using the entropy-based patent measure to explore the influences of related and unrelated technological diversification upon technological competences and firm performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 825-841, March.
    16. Galende, Jesus & de la Fuente, Juan Manuel, 2003. "Internal factors determining a firm's innovative behaviour," Research Policy, Elsevier, vol. 32(5), pages 715-736, May.
    17. Corrocher, Nicoletta & Malerba, Franco & Montobbio, Fabio, 2007. "Schumpeterian patterns of innovative activity in the ICT field," Research Policy, Elsevier, vol. 36(3), pages 418-432, April.
    18. Burak Dindaroglu, 2011. "R&D Productivity and Firm Size in Semiconductors and Pharmaceuticals: Evidence from Citation Yields," Working Papers 1101, Izmir University of Economics.
    19. Belderbos, Rene & Faems, Dries & Leten, Bart & Van Looy, Bart, 2009. "Technological activities and their impact on the financial performance of the firm: Exploitation and exploration within and between firms," MERIT Working Papers 2009-067, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    20. Tohru Yoshioka-Kobayashi & Tomofumi Miyanoshita & Daisuke Kanama, 2020. "Revisiting incremental product innovations in the food-manufacturing industry: an empirical study on the effect of intellectual property rights," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:82:y:2010:i:1:d:10.1007_s11192-009-0034-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.