Decision-Making Game Research on Data Sharing in Supply Chain Network Based on Blockchain Technology
Baoku Li and
Yuxin Zhang ()
Additional contact information
Baoku Li: Liaoning Technical University, College of Business Administration
Yuxin Zhang: Liaoning Technical University, College of Business Administration
A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 567-577 from Springer
Abstract:
Abstract Existing supply chain network leads to the limitation of data sharing methods due to its own limitations, and the development and application of blockchain technology opens up a new way for data sharing in supply chain network. The article introduces blockchain technology, constructs a tripartite evolution model of suppliers, manufacturers, and retailers in the supply chain network, researches the dynamic evolution process and the equilibrium strategy of the tripartite decision-making, and conducts simulation analysis. The results show that, first, establishing appropriate data sharing incentives is an important initiative to enhance the data sharing willingness of each subject in the supply chain. Second, corresponding data sharing penalties are needed to avoid enterprises utilizing other enterprises’ data without actively sharing their own data. Finally, the reduction of data sharing costs and risks can effectively promote data sharing. By analyzing the mechanism of tripartite collaboration in supply chain network, it provides theoretical support and decision-making basis for digital governance of supply chain network under the new development pattern.
Keywords: Supply Chain Network; Data Sharing; Blockchain (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-570-6_56
Ordering information: This item can be ordered from
http://www.springer.com/9789464635706
DOI: 10.2991/978-94-6463-570-6_56
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().