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Internal sequential innovations: How does interrelatedness affect patent renewal?

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  • Liu, Kun
  • Arthurs, Jonathan
  • Cullen, John
  • Alexander, Roger

Abstract

The value of patented innovations has attracted substantial research attention, especially in the context of patent renewal. However, research often assumes that a firm's patented innovations are independent from each other. We draw upon evolutionary economics and suggest that some of a firm's patents share important genealogical relationships, which we refer to as internal sequential innovations. We propose internal sequential innovations are more valuable and therefore more likely to be renewed than stand-alone innovations. We examine our hypotheses from a dataset of US pharmaceutical and biotechnology patents. The results confirm our hypotheses at both the patent and the firm levels.

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  • Liu, Kun & Arthurs, Jonathan & Cullen, John & Alexander, Roger, 2008. "Internal sequential innovations: How does interrelatedness affect patent renewal?," Research Policy, Elsevier, vol. 37(5), pages 946-953, June.
    • Handle: RePEc:eee:respol:v:37:y:2008:i:5:p:946-953
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    Cited by:

    1. Andreas Panagopoulos & Kyriakos Drivas, 2016. "Using the Patent Term Changes in Assessing the Evolution of Patent Valuation from Filing to Maturity," Working Papers 1608, University of Crete, Department of Economics.
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    3. Bo Kyeong Lee & So Young Sohn, 2017. "Exploring the effect of dual use on the value of military technology patents based on the renewal decision," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1203-1227, September.
    4. Zafer Sonmez, 2018. "Interregional inventor collaboration and the commercial value of patented inventions: evidence from the US biotechnology industry," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 399-438, September.
    5. Dehdarian, Amin & Tucci, Christopher L, 2021. "A complex network approach for analyzing early evolution of smart grid innovations in Europe," Applied Energy, Elsevier, vol. 298(C).
    6. Jinyoung Kim, 2015. "Patent Portfolio Management of Sequential Inventions: Evidence from US Patent Renewal Data," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(2), pages 195-218, September.
    7. Stav Rosenzweig, 2017. "The effects of diversified technology and country knowledge on the impact of technological innovation," The Journal of Technology Transfer, Springer, vol. 42(3), pages 564-584, June.
    8. Justus Baron & Henry Delcamp, 2012. "The private and social value of patents in discrete and cumulative innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 581-606, February.
    9. Jinyoung Kim, 2010. "Patent Portfolio Management of Sequential Innovations," Discussion Paper Series 1005, Institute of Economic Research, Korea University.
    10. Jinyoung Kim, 2015. "Patent Portfolio Management of Sequential Innovations: Theory and Empirics," Discussion Paper Series 1504, Institute of Economic Research, Korea University.
    11. Wang, Qinyu Ryan & Zheng, Yanfeng, 2022. "Nest without birds: Inventor mobility and the left-behind patents," Research Policy, Elsevier, vol. 51(4).
    12. Eun Han & So Sohn, 2015. "Patent valuation based on text mining and survival analysis," The Journal of Technology Transfer, Springer, vol. 40(5), pages 821-839, October.
    13. Chung, Park & Sohn, So Young, 2020. "Early detection of valuable patents using a deep learning model: Case of semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    14. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    15. Yao, Li & Li, Jun & Chen, Kaihua & Yu, Rongjian, 2024. "Winning the second race of technology standardization: Strategic maneuvers in SEP follow-on innovations," Research Policy, Elsevier, vol. 53(6).
    16. Marusaki, Koji & Nakai, Kensei & Kataoka, Shotaro & Kawano, Seiya & Hentona, Asahi & Sakumoto, Takeshi & Yamamoto, Yuta & Mori, Kaede & Nonaka, Hirofumi, 2024. "A study on patent term prediction by survival time analysis using neural hazard model," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    17. Chen, Jiyao & Shao, Diana & Fan, Shaokun, 2021. "Destabilization and consolidation: Conceptualizing, measuring, and validating the dual characteristics of technology," Research Policy, Elsevier, vol. 50(1).
    18. Marcos Anton-Tejon & Catalina Martinez & Alberto Albahari & Andrés Barge-Gil, 2024. "Science and technology parks and their effects on the quality of tenants’ patents," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1846-1879, October.
    19. 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.

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