IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i13p2921-d1182737.html
   My bibliography  Save this article

An Evolutionary Game Analysis of Stakeholders’ Decision-Making Behavior in Medical Data Sharing

Author

Listed:
  • Yi Gao

    (School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Zhiling Zhu

    (School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Jian Yang

    (School of Information, Shanxi University of Finance and Economics, Taiyuan 030006, China)

Abstract

In the era of big data, medical data sharing has become an inevitable requirement to improve the quality and efficiency of medical services. To advance the progress of medical data sharing and expedite the circulation of data value, it becomes crucial to examine the decision-making behavior of stakeholders involved in the medical-data-sharing process. To this end, we construct a three-way evolutionary game model applicable to the medical sharing scenario, analyzing the evolutionary trends in the selection strategies of data providers, the medical-data-sharing platform and data demanders. Furthermore, through theoretical analysis and simulation experiments, we explore the game equilibrium point of the system and analyze key factors that affect stakeholder strategy selection. The results of the experiment show that, in addition to data security, platforms and regulators should pay attention to the regulation and governance of the quality of data flows, which involves reasonable incentives–feedback–rewards and penalties. By strengthening the security technology and data governance system construction of sharing platforms, as well as promoting regulatory authorities to implement reward and punishment measures, etc., a stable state can be achieved in such systems. In addition, this article also proposes relevant management suggestions for medical data sharing in order to provide useful references for scientific decision making by stakeholders.

Suggested Citation

  • Yi Gao & Zhiling Zhu & Jian Yang, 2023. "An Evolutionary Game Analysis of Stakeholders’ Decision-Making Behavior in Medical Data Sharing," Mathematics, MDPI, vol. 11(13), pages 1-21, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:13:p:2921-:d:1182737
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/13/2921/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/13/2921/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chauhan, Chetna & Parida, Vinit & Dhir, Amandeep, 2022. "Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    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. Ahmad, Farhan & Bask, Anu & Laari, Sini & Robinson, Craig V., 2023. "Business management perspectives on the circular economy: Present state and future directions," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    2. Gianmarco Bressanelli & Federico Adrodegari & Daniela C. A. Pigosso & Vinit Parida, 2022. "Towards the Smart Circular Economy Paradigm: A Definition, Conceptualization, and Research Agenda," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    3. Broccardo, Laura & Zicari, Adrián & Jabeen, Fauzia & Bhatti, Zeeshan A., 2023. "How digitalization supports a sustainable business model: A literature review," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    4. Sajjad, Aqsa & Zhang, Qingyu & Asmi, Fahad & Anwar, Muhammad Azfar & Bhatia, Meena, 2024. "Identifying the motivating factors to promote socially responsible consumption under circular economy: A perspective from norm activation theory," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    5. Anbesh Jamwal & Sushma Kumari & Rajeev Agrawal & Monica Sharma & Ismail Gölgeci, 2024. "Unlocking Circular Economy Through Digital Transformation: the Role of Enabling Factors in SMEs," International Journal of Global Business and Competitiveness, Springer, vol. 19(1), pages 24-36, June.
    6. Ernesto D. R. Santibanez Gonzalez & Vinay Kandpal & Marcio Machado & Mauro Luiz Martens & Sushobhan Majumdar, 2023. "A Bibliometric Analysis of Circular Economies through Sustainable Smart Cities," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    7. Li, Huimin & Zhao, Jing & Cao, Yongchao & Su, Limin & Zhao, Zhichao & Zhang, Yafei, 2024. "Servitization and product service system: A literature review on value creation," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    8. Huynh Evertsen, Phuc & Rasmussen, Einar & Nenadic, Oleg, 2022. "Commercializing circular economy innovations: A taxonomy of academic spin-offs," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    9. Lukas Alexander Benz, 2022. "Critical Success Factors for Circular Business Model Innovation from the Perspective of the Sustainable Development Goals," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    10. Marlen Gabriele Arnold & Constanze Pfaff & Thomas Pfaff, 2023. "Circular Business Model Strategies Progressing Sustainability in the German Textile Manufacturing Industry," Sustainability, MDPI, vol. 15(5), pages 1-29, March.
    11. Agnieszka Nowaczek & Zygmunt Kowalski & Joanna Kulczycka & Agnieszka Makara, 2024. "Determinants of the Implementation of a Circular Economy Model in the Tire Sector in Poland," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
    12. Bhatia, Manjot Singh & Kumar, Saurabh & Gangwani, Kishore Kumar & Kaur, Bhavneet, 2024. "Key capabilities for closed-loop supply chain: Empirical evidence from manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    13. Madanaguli, Arun & Sjödin, David & Parida, Vinit & Mikalef, Patrick, 2024. "Artificial intelligence capabilities for circular business models: Research synthesis and future agenda," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    14. Swee Kuik & Akhil Kumar & Li Diong & Joowon Ban, 2023. "A Systematic Literature Review on the Transition to Circular Business Models for Small and Medium-Sized Enterprises (SMEs)," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    15. Ha, Le Thanh, 2024. "A transition to sustainable marine living resources: Why does digital transformation matter?," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    16. Horbach, Jens, 2023. "Digitalisation and sustainability strategies at the firm level," Ruhr Economic Papers 1001, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, revised 2023.
    17. Nadia Yusuf & Miltiadis D. Lytras, 2023. "Competitive Sustainability of Saudi Companies through Digitalization and the Circular Carbon Economy Model: A Bold Contribution to the Vision 2030 Agenda in Saudi Arabia," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    18. Luoma, Päivi & Penttinen, Esko & Tapio, Petri & Toppinen, Anne, 2022. "Future images of data in circular economy for textiles," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    19. Camel, Afaf & Belhadi, Amine & Kamble, Sachin & Tiwari, Sunil & Touriki, Fatima Ezahra, 2024. "Integrating smart Green Product Platforming for carbon footprint reduction: The role of blockchain technology and stakeholders influence within the agri-food supply chain," International Journal of Production Economics, Elsevier, vol. 272(C).
    20. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.

    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:gam:jmathe:v:11:y:2023:i:13:p:2921-:d:1182737. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.