IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v45y2024i6p3497-3509.html

Stochastic evolutionary game analysis of tacit knowledge sharing in patent commercialization

Author

Listed:
  • Mingyu Xu
  • Xianghao Yang
  • Xinyi Yang
  • Xu Ye

Abstract

Given the rapid prevalence and advancement of patent commercialization, tacit knowledge sharing during this process is increasingly being scrutinized. To explore the factors affecting tacit knowledge sharing in patent commercialization, this paper constructed a tripartite stochastic evolutionary game model to analyze the complex game interaction between inventors, enterprises, and patent intermediaries. Due to uncertainty in the external environment, Gaussian white noise was introduced into replicator dynamic equations, and numerical simulation was used to describe the tripartite dynamic evolution. The results showed the following: (1) inventors and enterprises with similar levels of relevant capabilities are more likely to achieve better results in sharing tacit knowledge. (2) The implementation of an effective market reputation evaluation system has the potential to enhance implicit knowledge sharing in the realm of patent commercialization. (3) The percentage of payments of the two‐stage payment contract will affect the behavior of inventors and enterprises. (4) The stability of the equilibrium solution is closely tied to the intensity of Gaussian white noise, which can lead to deviations from the original trajectory of equilibrium strategies. Greater external uncertainty makes tacit knowledge sharing more challenging. This study will provide constructive suggestions for promoting tacit knowledge sharing among participants in patent commercialization.

Suggested Citation

  • Mingyu Xu & Xianghao Yang & Xinyi Yang & Xu Ye, 2024. "Stochastic evolutionary game analysis of tacit knowledge sharing in patent commercialization," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 3497-3509, September.
    • Handle: RePEc:wly:mgtdec:v:45:y:2024:i:6:p:3497-3509
    DOI: 10.1002/mde.4204
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.4204
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.4204?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
    ---><---

    References listed on IDEAS

    as
    1. Maurseth, Per Botolf & Svensson, Roger, 2020. "The Importance of Tacit Knowledge: Dynamic Inventor Activity in the Commercialization Phase," Research Policy, Elsevier, vol. 49(7).
    2. Santhi Perumal & Shyam Sreekumaran Nair, 2022. "Impact of views about knowledge and workplace relationships on tacit knowledge sharing," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 20(3), pages 410-421, May.
    3. Junghee Han, 2017. "Technology Commercialization through Sustainable Knowledge Sharing from University-Industry Collaborations, with a Focus on Patent Propensity," Sustainability, MDPI, vol. 9(10), pages 1-16, October.
    4. Chai, Sangmi & Kim, Minkyun, 2010. "What makes bloggers share knowledge? An investigation on the role of trust," International Journal of Information Management, Elsevier, vol. 30(5), pages 408-415.
    5. Figueroa, Nicolás & Serrano, Carlos J., 2019. "Patent trading flows of small and large firms," Research Policy, Elsevier, vol. 48(7), pages 1601-1616.
    6. Hsu, David H. & Hsu, Po-Hsuan & Zhou, Tong & Ziedonis, Arvids A., 2021. "Benchmarking U.S. university patent value and commercialization efforts: A new approach," Research Policy, Elsevier, vol. 50(1).
    7. Huimin Li & Fuqiang Wang & Lunyan Wang & Limin Su & Chengyi Zhang, 2020. "The Stochastic Evolution Game of Knowledge Sharing in the Infrastructure PPP Supply Chain Network," Complexity, Hindawi, vol. 2020, pages 1-17, October.
    8. Liu, Weiwei & Tao, Yuan & Bi, Kexin, 2022. "Capturing information on global knowledge flows from patent transfers: An empirical study using USPTO patents," Research Policy, Elsevier, vol. 51(5).
    9. Aydemir, Nisa Yazici & Huang, Wan-Ling & Welch, Eric W., 2022. "Late-stage academic entrepreneurship: Explaining why academic scientists collaborate with industry to commercialize their patents," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Lee, Gyumin & Lee, Sungjun & Lee, Changyong, 2023. "Inventor–licensee matchmaking for university technology licensing: A fastText approach," Technovation, Elsevier, vol. 125(C).
    11. Kwon, Seokbeom, 2020. "How does patent transfer affect innovation of firms?," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    12. Roger Svensson, 2012. "Commercialization, renewal, and quality of patents," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 21(2), pages 175-201, February.
    13. Svenja Jarchow & Andrea Röhm, 2019. "Patent-based investment funds: from invention to innovation," The Journal of Technology Transfer, Springer, vol. 44(2), pages 404-433, April.
    14. D. J. Wu & Min Ding & Lorin M. Hitt, 2013. "IT Implementation Contract Design: Analytical and Experimental Investigation of IT Value, Learning, and Contract Structure," Information Systems Research, INFORMS, vol. 24(3), pages 787-801, September.
    Full references (including those not matched with items on IDEAS)

    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. Liu, Weiwei & Tao, Yuan & Bi, Kexin, 2022. "Capturing information on global knowledge flows from patent transfers: An empirical study using USPTO patents," Research Policy, Elsevier, vol. 51(5).
    2. Cai, Zhishan & Ma, Ding & Zhou, Rui & Zhang, Zhiwang, 2024. "Unraveling the impact of patent transfers on regional innovation: Empirical insights through the lens of entity relationships," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    3. Svensson, Roger, 2020. "The Scientific Output of a Database on Commercialized Patents," Working Paper Series 1349, Research Institute of Industrial Economics.
    4. Bangjuan Wang & Weisheng Mao & Junxian Piao & Chengliang Liu, 2023. "Does external linkage stimulate innovation capacity? The analysis based on “dual‐pipelines” framework," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 613-633, June.
    5. Li Yuan & Jing Tao & Jun Sun & Jiachao Peng, 2025. "Does the green patent pre-examination program reduce environmental pollution?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-19, December.
    6. Vinita Krishna & Sudhir K. Jain, 2025. "Patent-based indicators for predicting patent commercialization: a study of the diffusion of pharmaceutical innovations," The Journal of Technology Transfer, Springer, vol. 50(1), pages 114-137, February.
    7. Wu, Xiaokang & Yu, Jinping, 2023. "Does dialect difference impede patent transaction? Evidence from China's inter-city patent license data," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    8. Kwon, Seokbeom & Marco, Alan C., 2021. "Can antitrust law enforcement spur innovation? Antitrust regulation of patent consolidation and its impact on follow-on innovations," Research Policy, Elsevier, vol. 50(9).
    9. Haining Fang & Jinmei Wang & Qing Yang & Xingxing Liu & Lanjuan Cao, 2022. "Spatiotemporal characteristics and influencing factor analysis of universities’ technology transfer level in China: The perspective of innovation ecosystems," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-21, June.
    10. Peters, Bettina & Diekhof, Josefine & Grimpe, Christoph & Marks, Hannes & Sofka, Wolfgang, 2023. "Machbarkeitsstudie Technologiemärkte," Studien zum deutschen Innovationssystem 8-2023, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    11. Fonseca, Tiago & Lagdami, Khanssa & Schröder-Hinrichs, Jens-Uwe, 2021. "Assessing innovation in transport: An application of the Technology Adoption (TechAdo) model to Maritime Autonomous Surface Ships (MASS)," Transport Policy, Elsevier, vol. 114(C), pages 182-195.
    12. Qian, Minghui & Zhao, Mengchun & Yang, Jianliang & Yang, Guancan & Xu, Jiayuan & Cheng, Xusen, 2024. "A novel approach to enterprise technical collaboration: Recommending R&D partners through technological similarity and complementarity," Journal of Informetrics, Elsevier, vol. 18(4).
    13. Chi-Yo Huang & Min-Jen Yang & Jeen-Fong Li & Hueiling Chen, 2021. "A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations," Mathematics, MDPI, vol. 9(18), pages 1-26, September.
    14. Xiangjie Liu & Chengliang Liu & Junxian Piao, 2024. "Unpacking technology flows based on patent transactions: does trickle-down, proximity, and siphon help regional specialization?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(1), pages 433-458, June.
    15. Hsu, Hsuan Yu & Tsou, Hung-Tai, 2011. "Understanding customer experiences in online blog environments," International Journal of Information Management, Elsevier, vol. 31(6), pages 510-523.
    16. Douglas Hanley, 2015. "Innovation, Technological Interdependence, and Economic Growth," 2015 Meeting Papers 1491, Society for Economic Dynamics.
    17. Papadopoulos, Thanos & Stamati, Teta & Nopparuch, Pawit, 2013. "Exploring the determinants of knowledge sharing via employee weblogs," International Journal of Information Management, Elsevier, vol. 33(1), pages 133-146.
    18. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    19. 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).
    20. Yasmine Souissi & Ferdaws Ezzi & Anis Jarboui, 2024. "Blockchain Adoption and Financial Distress: Mediating Role of Information Asymmetry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3903-3926, March.

    More about this item

    Statistics

    Access and download statistics

    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:wly:mgtdec:v:45:y:2024:i:6:p:3497-3509. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.