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Assessing the R&D Management of a Firm in Terms of Speed and Science Linkage: Evidence from the US Patents

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  • Sadao Nagaoka

Abstract

We evaluate statistically how the R&D management of a firm affects its research quality. Controlling for technology areas, a firm having short citation lag relative to the prior patent literature has a significantly high patent quality in terms of patent citation and the number of claims per patent, suggesting that the speed of R&D mattes. Such an effect is more significant in IT than in biotechnology & pharmaceuticals. A firm having high citations to the science literature has also a high patent quality, indicating the importance of the capability to use scientific knowledge. Such an effect is significant both in biotechnology & pharmaceuticals and in IT.

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  • Sadao Nagaoka, 2007. "Assessing the R&D Management of a Firm in Terms of Speed and Science Linkage: Evidence from the US Patents," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(1), pages 129-156, March.
    • Handle: RePEc:bla:jemstr:v:16:y:2007:i:1:p:129-156
    DOI: 10.1111/j.1530-9134.2007.00135.x
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    3. Akindayomi, Akinloye & Amin, Md Ruhul, 2022. "Does business strategy affect dividend payout policies?," Journal of Business Research, Elsevier, vol. 151(C), pages 531-550.
    4. Chen, Jong-Rong & Kan, Kamhon & Tung, I-Hsuan, 2016. "Scientific linkages and firm productivity: Panel data evidence from Taiwanese electronics firms," Research Policy, Elsevier, vol. 45(7), pages 1449-1459.
    5. Cédric Schneider, 2009. "External knowledge sourcing: science, market and the value of patented inventions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 551-560.
    6. Ashish Arora & Lee G. Branstetter & Matej Drev, 2013. "Going Soft: How the Rise of Software-Based Innovation Led to the Decline of Japan's IT Industry and the Resurgence of Silicon Valley," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 757-775, July.
    7. Shimizu, Hiroshi & Hoshino, Yusuke, 2015. "Collaboration and Innovation Speed : Evidence from a Prize Data-Set, 1955-2010," IIR Working Paper 15-04, Institute of Innovation Research, Hitotsubashi University.
    8. Julie Callaert & Maikel Pellens & Bart Looy, 2014. "Sources of inspiration? Making sense of scientific references in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1617-1629, March.
    9. Li, Xiaoying & Wang, Jue & Liu, Xiaming, 2013. "Can locally-recruited R&D personnel significantly contribute to multinational subsidiary innovation in an emerging economy?," International Business Review, Elsevier, vol. 22(4), pages 639-651.
    10. Kaidong Feng & Ziying Jiang, 2021. "State Capacity and Innovation Policy Performance: A Comparative Study on Two Types of Innovation Projects in China," Review of Policy Research, Policy Studies Organization, vol. 38(4), pages 427-453, July.
    11. Jungpyo Lee & So Young Sohn, 2017. "What makes the first forward citation of a patent occur earlier?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 279-298, October.
    12. Nagaoka, Sadao & Motohashi, Kazuyuki & Goto, Akira, 2010. "Patent Statistics as an Innovation Indicator," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1083-1127, Elsevier.
    13. Yang, Guancan & Lu, Guoxuan & Xu, Shuo & Chen, Liang & Wen, Yuxin, 2023. "Which type of dynamic indicators should be preferred to predict patent commercial potential?," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    14. Cao, Qinwei & Li, Yi & Peng, Huatao, 2023. "From university basic research to firm innovation: diffusion mechanism and boundary conditions under a U-shaped relationship," Technovation, Elsevier, vol. 123(C).
    15. Nawab Khan & Haitao Qu & Jing Qu & ChunMiao Wei & Shihao Wang, 2021. "Does Venture Capital Investment Spur Innovation? A Cross-Countries Analysis," SAGE Open, , vol. 11(1), pages 21582440211, March.
    16. Hu, Zewen & Zhou, Xiji & Lin, Angela, 2023. "Evaluation and identification of potential high-value patents in the field of integrated circuits using a multidimensional patent indicators pre-screening strategy and machine learning approaches," Journal of Informetrics, Elsevier, vol. 17(2).
    17. Elena M. Tur & Evangelos Bourelos & Maureen McKelvey, 2022. "The case of sleeping beauties in nanotechnology: a study of potential breakthrough inventions in emerging technologies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(3), pages 683-708, December.

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