Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation

Jian Tan, Guoqiang Jiang and Zuogong Wang
Additional contact information
Jian Tan: Guizhou University of Finance and Economics, Guiyang, China
Guoqiang Jiang: Guizhou University of Finance and Economics, Guiyang, China
Zuogong Wang: Henan University, Kaifeng, China

International Journal of Intelligent Information Technologies (IJIIT), 2019, vol. 15, issue 2, 54-68

Abstract: In the supply chain network, information sharing between enterprises can produce synergistic effect and improve the benefits. In this article, evolutionary game theory is used to analyse the evolution process of the information sharing behaviour between supply chain network enterprises with different penalties and information sharing risk costs. Analysis and agent-based simulation results show that when the amount of information between enterprises in supply chain networks is very large, it is difficult to form a sharing of cooperation; increase penalties, control cost sharing risk can increase the probability of supply chain information sharing network and shorten the time for information sharing.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJIIT.2019040104 (application/pdf)

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:igg:jiit00:v:15:y:2019:i:2:p:54-68

Access Statistics for this article

International Journal of Intelligent Information Technologies (IJIIT) is currently edited by Vijayan Sugumaran

More articles in International Journal of Intelligent Information Technologies (IJIIT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().