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Configuration paths to high-value patents: evidence from patents winning the China Patent Awards

Author

Listed:
  • Shanshan Wang

    (Zhejiang University of Finance & Economics)

  • Hongyan Zhou

    (Harbin University of Science & Technology)

  • Tianyi Zhao

    (Harbin University of Science & Technology)

Abstract

Firms are seeking effective ways to cultivate high-value patents to support the goals of their innovative development, which has raised a promising research issue on different paths to high-value patents. However, prior studies mainly focused on the individual impact of a single or multiple patent attribute(s) on patent value. This study aims to explore the interactions of different patent attributes and their joint effect on high-value patents in the emerging economy context using three-dimensional patent value as the research lens. Using data from patents that won China Patent Awards as high-value patent samples and the fuzzy-set Qualitative Comparative Analysis (fsQCA), this study examines the relationships between three-dimensional patent attributes of technological, legal and economic value and high-value patents. The results demonstrate that the interactions of three-dimensional patent attributes are prerequisites for high-value patents, and four configuration paths contribute to China’s high-value patents. By interpreting multiple patent attribute interactions, this study further reveals the technological-economic complementary mechanism and the potential substitution mechanism within and among the three-dimensional patent attributes in high-value patents, and draws out implications for research, policy and practice. This study contributes to the patent value literature by adopting a configurational perspective to examine the causal complexity of patent attribute combinations, and providing a systematic understanding of the effective configuration paths to high-value patents in China as well as the complementary and substitution mechanisms between patent attributes. The findings also support better-informed patent policy and firm strategies aimed at gaining more high-value patents.

Suggested Citation

  • Shanshan Wang & Hongyan Zhou & Tianyi Zhao, 2024. "Configuration paths to high-value patents: evidence from patents winning the China Patent Awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(5), pages 2633-2658, May.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:5:d:10.1007_s11192-024-04976-7
    DOI: 10.1007/s11192-024-04976-7
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    References listed on IDEAS

    as
    1. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    2. Yong-Gil Lee, 2009. "What affects a patent’s value? An analysis of variables that affect technological, direct economic, and indirect economic value: An exploratory conceptual approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 623-633, June.
    3. Nicolas van Zeebroeck & Bruno van Pottelsberghe de la Potterie, 2011. "The vulnerability of patent value determinants," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(3), pages 283-308.
    4. Grimaldi, Michele & Cricelli, Livio & Di Giovanni, Martina & Rogo, Francesco, 2015. "The patent portfolio value analysis: A new framework to leverage patent information for strategic technology planning," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 286-302.
    5. Mahka Moeen, 2017. "Entry into Nascent Industries: Disentangling a Firm's Capability Portfolio at the Time of Investment Versus Market Entry," Strategic Management Journal, Wiley Blackwell, vol. 38(10), pages 1986-2004, October.
    6. Du, Yunzhou & Kim, Phillip H., 2021. "One size does not fit all: Strategy configurations, complex environments, and new venture performance in emerging economies," Journal of Business Research, Elsevier, vol. 124(C), pages 272-285.
    7. Donal Crilly, 2011. "Predicting stakeholder orientation in the multinational enterprise: A mid-range theory," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 42(5), pages 694-717, June.
    8. Bacon, Emily & Williams, Michael D. & Davies, Gareth, 2020. "Coopetition in innovation ecosystems: A comparative analysis of knowledge transfer configurations," Journal of Business Research, Elsevier, vol. 115(C), pages 307-316.
    9. Marc Rysman & Timothy Simcoe, 2008. "Patents and the Performance of Voluntary Standard-Setting Organizations," Management Science, INFORMS, vol. 54(11), pages 1920-1934, November.
    10. Kollmann, Tobias & Stöckmann, Christoph & Niemand, Thomas & Hensellek, Simon & de Cruppe, Katharina, 2021. "A configurational approach to entrepreneurial orientation and cooperation explaining product/service innovation in digital vs. non-digital startups," Journal of Business Research, Elsevier, vol. 125(C), pages 508-519.
    11. Antoine Dechezleprêtre & Yann Ménière & Myra Mohnen, 2017. "International patent families: from application strategies to statistical indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 793-828, May.
    12. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    13. Alexander Donges & Jean-Marie Meier & Rui C. Silva, 2023. "The Impact of Institutions on Innovation," Management Science, INFORMS, vol. 69(4), pages 1951-1974, April.
    14. Wunsch-Vincent, Sacha & Kashcheeva, Mila & Zhou, Hao, 2015. "International patenting by Chinese residents: Constructing a database of Chinese foreign-oriented patent families," China Economic Review, Elsevier, vol. 36(C), pages 198-219.
    15. Arora, Ashish & Belenzon, Sharon & Dionisi, Bernardo, 2023. "First-mover advantage and the private value of public science," Research Policy, Elsevier, vol. 52(9).
    16. Jurriën Bakker, 2017. "The log-linear relation between patent citations and patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 879-892, February.
    17. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, March.
    18. Gaétan de Rassenfosse & Adam B. Jaffe, 2018. "Are patent fees effective at weeding out low‐quality patents?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 134-148, March.
    19. Hoenen, Sebastian & Kolympiris, Christos & Schoenmakers, Wilfred & Kalaitzandonakes, Nicholas, 2014. "The diminishing signaling value of patents between early rounds of venture capital financing," Research Policy, Elsevier, vol. 43(6), pages 956-989.
    20. Krzysztof Klincewicz & Szymon Szumiał, 2022. "Successful patenting—not only how, but with whom: the importance of patent attorneys," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5111-5137, September.
    21. Chen, Hansong & Tian, Zhen, 2022. "Environmental uncertainty, resource orchestration and digital transformation: A fuzzy-set QCA approach," Journal of Business Research, Elsevier, vol. 139(C), pages 184-193.
    22. Harhoff, Dietmar & Scherer, Frederic M. & Vopel, Katrin, 2003. "Citations, family size, opposition and the value of patent rights," Research Policy, Elsevier, vol. 32(8), pages 1343-1363, September.
    23. Nicolas van Zeebroeck, 2011. "The puzzle of patent value indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(1), pages 33-62.
    24. Scott Shane, 2001. "Technological Opportunities and New Firm Creation," Management Science, INFORMS, vol. 47(2), pages 205-220, February.
    25. 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).
    26. Liegsalz, Johannes & Wagner, Stefan, 2013. "Patent examination at the State Intellectual Property Office in China," Research Policy, Elsevier, vol. 42(2), pages 552-563.
    27. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
    28. Arora, Ashish & Cohen, Wesley & Lee, Honggi & Sebastian, Divya, 2023. "Invention value, inventive capability and the large firm advantage," Research Policy, Elsevier, vol. 52(1).
    29. Chen, Feng & Hou, Yu & Qiu, Jiaping & Richardson, Gordon, 2023. "Chilling effects of patent trolls," Research Policy, Elsevier, vol. 52(3).
    30. Hongqi Wang & Tianyi Zhao & Sarah Y. Cooper & Shanshan Wang & Richard T. Harrison & Zhongji Yang, 2023. "Effective policy mixes in entrepreneurial ecosystems: a configurational analysis in China," Small Business Economics, Springer, vol. 60(4), pages 1509-1542, April.
    31. Caviggioli, Federico & De Marco, Antonio & Montobbio, Fabio & Ughetto, Elisa, 2020. "The licensing and selling of inventions by US universities," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    32. Hong, Suckwon & Kim, Juram & Woo, Han-Gyun & Kim, Young-Choon & Lee, Changyong, 2022. "Screening ideas in the early stages of technology development: A word2vec and convolutional neural network approach," Technovation, Elsevier, vol. 112(C).
    33. Thomas Greckhamer, 2016. "CEO compensation in relation to worker compensation across countries: The configurational impact of country-level institutions," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 793-815, April.
    34. 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).
    35. 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.
    36. Kong, Dejing & Zhou, Yuan & Liu, Yufei & Xue, Lan, 2017. "Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 80-97.
    37. Li Yao & He Ni, 2023. "Prediction of patent grant and interpreting the key determinants: an application of interpretable machine learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 4933-4969, September.
    38. Zhang, Lili & Guo, Ying & Sun, Ganlu, 2019. "How patent signals affect venture capital: The evidence of bio-pharmaceutical start-ups in China," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 93-104.
    39. Song, Haoyang & Hou, Jianhua & Zhang, Yang, 2023. "The measurements and determinants of patent technological value: Lifetime, strength, breadth, and dispersion from the technology diffusion perspective," Journal of Informetrics, Elsevier, vol. 17(1).
    40. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    41. 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).
    42. Bencsik, Barbara & Palmié, Maximilian & Parida, Vinit & Wincent, Joakim & Gassmann, Oliver, 2023. "Business models for digital sustainability: Framework, microfoundations of value capture, and empirical evidence from 130 smart city services," Journal of Business Research, Elsevier, vol. 160(C).
    43. Hohberger, Jan, 2016. "Does it pay to stand on the shoulders of giants? An analysis of the inventions of star inventors in the biotechnology sector," Research Policy, Elsevier, vol. 45(3), pages 682-698.
    44. Ribeiro, Barbara & Shapira, Philip, 2020. "Private and public values of innovation: A patent analysis of synthetic biology," Research Policy, Elsevier, vol. 49(1).
    45. Bessen, James, 2009. "Estimates of patent rents from firm market value," Research Policy, Elsevier, vol. 38(10), pages 1604-1616, December.
    46. Yun, Siyeong & Song, Kisik & Kim, Chulhyun & Lee, Sungjoo, 2021. "From stones to jewellery: Investigating technology opportunities from expired patents," Technovation, Elsevier, vol. 103(C).
    47. Capponi, Giovanna & Martinelli, Arianna & Nuvolari, Alessandro, 2022. "Breakthrough innovations and where to find them," Research Policy, Elsevier, vol. 51(1).
    48. Filippopoulos, Nikolaos & Fotopoulos, Georgios, 2022. "Innovation in economically developed and lagging European regions: A configurational analysis," Research Policy, Elsevier, vol. 51(2).
    49. Estevão, João & Lopes, José Dias & Penela, Daniela, 2023. "SDG9 and the competitiveness: Employing mixed methods to understand how countries can use science to compete," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    50. 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).
    51. Reitzig, Markus, 2003. "What determines patent value?: Insights from the semiconductor industry," Research Policy, Elsevier, vol. 32(1), pages 13-26, January.
    52. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    53. Fischer, Timo & Leidinger, Jan, 2014. "Testing patent value indicators on directly observed patent value—An empirical analysis of Ocean Tomo patent auctions," Research Policy, Elsevier, vol. 43(3), pages 519-529.
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