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

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

Jian Tan, Guoqiang Jiang, Zuogong Wang
Copyright: © 2019 |Volume: 15 |Issue: 2 |Pages: 15
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781522564331|DOI: 10.4018/IJIIT.2019040104
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MLA

Tan, Jian, et al. "Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation." IJIIT vol.15, no.2 2019: pp.54-68. http://doi.org/10.4018/IJIIT.2019040104

APA

Tan, J., Jiang, G., & Wang, Z. (2019). Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation. International Journal of Intelligent Information Technologies (IJIIT), 15(2), 54-68. http://doi.org/10.4018/IJIIT.2019040104

Chicago

Tan, Jian, Guoqiang Jiang, and Zuogong Wang. "Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation," International Journal of Intelligent Information Technologies (IJIIT) 15, no.2: 54-68. http://doi.org/10.4018/IJIIT.2019040104

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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.

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