| 供应链结构视角下三方主体信息共享行为分析 |
| Analysis of information sharing behavior for tripartite subjects from the perspective of supply chain structure |
| 摘要点击 33 全文点击 0 投稿时间：2025-08-24 修订日期：2026-03-07 |
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| 中文关键词 信息共享；不确定环境；供应链结构；随机演化博弈 |
| 英文关键词 information sharing, uncertain environment, supply chain structure, stochastic evolutionary game |
| 基金项目 国家社会科学基金后期资助项目 |
| 投稿方向 供应链管理 |
| 作者 | 单位 | 邮编 | | 荆树伟* | 山西财经大学 | 030031 | | 冯月 | 大连理工大学经济管理学院 | | | 李梦瑶 | 山西财经大学管理科学与工程学院 | |
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| 中文摘要 |
| 针对供应链协同中制造商、供应商与第三方物流企业信息共享机制不健全的问题，从供应链结构关系出发，构建三方随机演化博弈模型。在明确有限理性内涵的基础上，通过引入维纳过程刻画随机干扰因素，建立含随机项的复制动态方程，运用随机微分方程理论推导各主体策略演化稳定性条件，并结合数值仿真分析干扰强度与关键参数的影响效应。研究表明：供应链结构差异导致主体演化速度呈现“供应商＞制造商＞第三方物流企业”的层级特征；随机干扰强度与策略收敛速度呈负相关，且对下游主体影响更为显著；信息共享强度对供应商演化呈现“倒 U 型”影响，对第三方物流企业则为单调负向影响，而制造商策略受其影响微弱；信息吸收处理能力对制造商呈正向激励，对供应商和第三方物流企业表现为 “两段式”影响规律。研究成果为优化供应链信息共享机制提供了理论依据与决策参考。 |
| 英文摘要 |
| To address the inadequate information sharing mechanism among participants in supply chain structure, this research constructs a tripartite stochastic evolutionary game model. It clarifies bounded rationality, characterizes stochastic disturbances via the Wiener process, establishes a replicator dynamics equation with stochastic terms, derives each subject’s strategy evolution stability conditions using stochastic differential equation theory, and analyzes the impacts of disturbance intensity and key parameters through numerical simulations. Results show that supply chain structure differences lead to an evolutionary speed hierarchy of "suppliers>manufacturers>3PL enterprises"; stochastic disturbance intensity is negatively correlated with strategy convergence speed, affecting downstream subjects more significantly; information sharing intensity exerts an "inverted U-shaped" impact on suppliers, a monotonically negative impact on 3PL enterprises, and a negligible impact on manufacturers; information absorption capacity positively incentivizes manufacturers and presents a "two-stage" effect on the other two parties. This research provides theoretical basis and decision-making reference for optimizing supply chain information sharing mechanisms. |
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