IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v46y2025i2p928-946.html
   My bibliography  Save this article

Research on Knowledge Payment Product Supply Chain Governance Based on Blockchain: An Evolutionary Game Model

Author

Listed:
  • Lili Liu
  • Changxin Luo

Abstract

Blockchain provides a new opportunity to govern the dilemmas in the knowledge payment product supply chain. This paper introduces blockchain into the evolutionary game to explore the behavioral strategies of knowledge providers, platforms, and consumers and to analyze in depth the influence of initial willingness and blockchain‐related factors by the system dynamics. The analysis shows that (1) improving the tripartite initial willingness is conducive to accelerating the process of supply chain governance and making the system reach an ideal state: knowledge providers choose compliance creation, platforms adopt blockchain, and consumers buy authorized product; (2) there are specific thresholds for the blockchain adoption cost and the premium of product brought by blockchain, only when the cost and premium are lower than the thresholds, the system evolves towards the ideal state; (3) when blockchain is adopted, it can effectively inhibit knowledge providers' illegal creation behavior and consumers' piracy behavior by increasing the punishments of platforms on knowledge providers and consumers. The results provide guidance to implement effective governance and the orderly development of knowledge payment industry.

Suggested Citation

  • Lili Liu & Changxin Luo, 2025. "Research on Knowledge Payment Product Supply Chain Governance Based on Blockchain: An Evolutionary Game Model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(2), pages 928-946, March.
    • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:2:p:928-946
    DOI: 10.1002/mde.4412
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.4412
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.4412?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. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Xue Peng & Fulin Wang & Jiquan Wang & Chang Qian, 2022. "Research on Food Safety Control Based on Evolutionary Game Method from the Perspective of the Food Supply Chain," Sustainability, MDPI, vol. 14(13), pages 1-21, July.
    3. Chen, Ting & Wang, Derong, 2020. "Combined application of blockchain technology in fractional calculus model of supply chain financial system," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    4. Volodymyr Babich & Gilles Hilary, 2020. "OM Forum—Distributed Ledgers and Operations: What Operations Management Researchers Should Know About Blockchain Technology," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 223-245, March.
    5. Kshetri, Nir, 2018. "1 Blockchain’s roles in meeting key supply chain management objectives," International Journal of Information Management, Elsevier, vol. 39(C), pages 80-89.
    6. Joel Waldfogel, 2012. "Copyright Protection, Technological Change, and the Quality of New Products: Evidence from Recorded Music since Napster," Journal of Law and Economics, University of Chicago Press, vol. 55(4), pages 715-740.
    7. Jin, Xiao-Ling & Zhou, Zhongyun & Lee, Matthew K.O. & Cheung, Christy M.K., 2013. "Why users keep answering questions in online question answering communities: A theoretical and empirical investigation," International Journal of Information Management, Elsevier, vol. 33(1), pages 93-104.
    8. Chien-Hua Tsai, 2023. "Supply chain financing scheme based on blockchain technology from a business application perspective," Annals of Operations Research, Springer, vol. 320(1), pages 441-472, January.
    9. Ying Zhu & May Chu & Xiaowei Wen & Yiqin Wang & Fanlin Meng, 2021. "Food Safety Risk Communication between the Food Regulator and Consumer in China: An Evolutionary Game Perspective," Complexity, Hindawi, vol. 2021, pages 1-17, August.
    10. Shichao Pang & Peng Bao & Wenyuan Hao & Jaewoong Kim & Wei Gu, 2020. "Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    11. Yuxiang (Chris) Zhao & Xixian Peng & Zhouying Liu & Shijie Song & Preben Hansen, 2020. "Factors that affect asker's pay intention in trilateral payment‐based social Q&A platforms: From a benefit and cost perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(5), pages 516-528, May.
    12. Xi Li & Zibin Xu, 2022. "Superior Knowledge, Price Discrimination, and Customer Inspection," Marketing Science, INFORMS, vol. 41(6), pages 1097-1117, November.
    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. Yu Gong & Yun Zhang & Mohammed Alharithi, 2022. "Supply Chain Finance and Blockchain in Operations Management: A Literature Review," Sustainability, MDPI, vol. 14(20), pages 1-21, October.
    2. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    3. Zhou, Yong-wu & Fu, Yu-shen & Wu, Xiaoli, 2023. "Value analysis with blockchain-based information transparency system to eliminate information distortion," International Journal of Production Economics, Elsevier, vol. 265(C).
    4. Archana A Mukherjee & Rajesh Kumar Singh & Ruchi Mishra & Surajit Bag, 2022. "Application of blockchain technology for sustainability development in agricultural supply chain: justification framework," Operations Management Research, Springer, vol. 15(1), pages 46-61, June.
    5. Alireza Farnoush & Ashish Gupta & Hamidreza Ahady Dolarsara & David Paradice & Shashank Rao, 2022. "Going beyond intent to adopt Blockchain: an analytics approach to understand board member and financial health characteristics," Annals of Operations Research, Springer, vol. 308(1), pages 93-123, January.
    6. Kumar, Devinder & Singh, Rajesh Kr & Mishra, Ruchi & Daim, Tugrul U., 2023. "Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    7. Kinne, Jan & Dehghan, Robert & Schmidt, Sebastian & Lenz, David & Hottenrott, Hanna, 2024. "Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US: A web-based analysis," ZEW Discussion Papers 24-023, ZEW - Leibniz Centre for European Economic Research.
    8. Davies, Jennifer & Sharifi, Hossein & Lyons, Andrew & Forster, Rick & Elsayed, Omar Khaled Shokry Mohamed, 2024. "Non-fungible tokens: The missing ingredient for sustainable supply chains in the metaverse age?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    9. Haiyan Luo & Junlin Pan, 2022. "Information Sharing Game and Value Analysis for the Following Enterprise Applications of Blockchain Technology," Sustainability, MDPI, vol. 14(23), pages 1-22, December.
    10. Risso, Lucas Antonio & Ganga, Gilberto Miller Devós & Santa-Eulalia, Luis Antonio de & Godinho Filho, Moacir & Chikhi, Tinhinane & Mosconi, Elaine & Zhang, Kaiwen, 2024. "A framework for modeling and simulating blockchain-based supply chain traceability systems," International Journal of Production Economics, Elsevier, vol. 278(C).
    11. Zhang, Tianyu & Dong, Peiwu & Chen, Xiangfeng & Gong, Yu, 2023. "The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members," Omega, Elsevier, vol. 114(C).
    12. Agi, Maher A.N. & Jha, Ashish Kumar, 2022. "Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption," International Journal of Production Economics, Elsevier, vol. 247(C).
    13. Clarissa Amico & Roberto Cigolini, 2024. "Improving port supply chain through blockchain-based bills of lading: a quantitative approach and a case study," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(1), pages 74-104, March.
    14. Kumar, Sourabh & Barua, Mukesh Kumar, 2023. "Exploring the hyperledger blockchain technology disruption and barriers of blockchain adoption in petroleum supply chain," Resources Policy, Elsevier, vol. 81(C).
    15. Zhu-Jun Wang & Yangyang Sun & Qin Su & Muhammet Deveci & Kannan Govindan & Mirosław J. Skibniewski & Zhen-Song Chen, 2024. "Smart Contract Application in Resisting Extreme Weather Risks for the Prefabricated Construction Supply Chain: Prototype Exploration and Assessment," Group Decision and Negotiation, Springer, vol. 33(5), pages 1049-1087, October.
    16. Soumyadeb Chowdhury & Oscar Rodriguez-Espindola & Prasanta Dey & Pawan Budhwar, 2023. "Blockchain technology adoption for managing risks in operations and supply chain management: evidence from the UK," Annals of Operations Research, Springer, vol. 327(1), pages 539-574, August.
    17. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    18. Kongmanas Yavaprabhas & Mehrdokht Pournader & Stefan Seuring, 2023. "Blockchain as the “trust-building machine” for supply chain management," Annals of Operations Research, Springer, vol. 327(1), pages 49-88, August.
    19. Jacob Lohmer & Elias Ribeiro da Silva & Rainer Lasch, 2022. "Blockchain Technology in Operations & Supply Chain Management: A Content Analysis," Sustainability, MDPI, vol. 14(10), pages 1-88, May.
    20. Fuli Zhou & Yijie Liu, 2022. "Blockchain-Enabled Cross-Border E-Commerce Supply Chain Management: A Bibliometric Systematic Review," Sustainability, MDPI, vol. 14(23), pages 1-23, November.

    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:46:y:2025:i:2:p:928-946. 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.