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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:

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    2. Christos Agiakloglou & Kyriakos Drivas & Dimitris Karamanis, 2016. "Individual inventors and market potentials: Evidence from US patents," Science and Public Policy, Oxford University Press, vol. 43(2), pages 147-156.
    3. 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.
    4. 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.
    5. Jinyoung Kim, 2010. "Patent Portfolio Management of Sequential Innovations," Discussion Paper Series 1005, Institute of Economic Research, Korea University.
    6. Jinyoung Kim, 2015. "Patent Portfolio Management of Sequential Innovations: Theory and Empirics," Discussion Paper Series 1504, Institute of Economic Research, Korea University.
    7. Wang, Qinyu Ryan & Zheng, Yanfeng, 2022. "Nest without birds: Inventor mobility and the left-behind patents," Research Policy, Elsevier, vol. 51(4).
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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).
    13. 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).
    14. 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).
    15. 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).
    16. 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).
    17. 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.
    18. 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.
    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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