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With the rapid development of network technology and the popularization of intelligent devices, all kinds of online shopping platforms emerge gradually, bringing convenient shopping experience for consumers. The rapid development of online shopping has also resulted in a large number of online shopping returns, many problems related to returns need to be resolved, there are multiple Information asymmetry in the supply chain, such as return handling costs and market demand, these realistic scenarios have an important impact on the decision-making of supply chain enterprises. Based on the above background, this paper studies the information sharing decision of supply chain enterprises under the consideration of product returns. In practice, the research in this paper can help to deal with the interaction of multiple Information asymmetry and the challenges brought by product returns. In theory, this paper can improve the research system of supply chain returns and Information asymmetry. In this paper, we mainly discuss information sharing strategies under cost Information asymmetry in the presence of product returns by using game theory. The findings are as follows: (1) whether the handling cost is high or low, the total profit of centralized decision-making supply chain is larger than that of decentralized decision-making supply chain. (2) when the handling cost is high, if the match rate is small, the total profit in the asymmetric case decreases, if the match rate is large, the total profit under non-sharing policy increases; when the handling cost is small, if the match rate is large, the total profit in the asymmetric case decreases; if the match rate is small, the total profit under non-sharing policy increases. (3) the total profit of centralized decision-making supply chain is larger than that of decentralized decision-making supply chain.
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