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在B2B电子商务环境下,基于多供应商供应链,通过建立多智能体仿真模型,研究了全局需求信息共享对供应商的激励效应,并考察了各供应链参数对这种激励效应的影响。研究结果表明:相对于局部需求信息共享,全局需求信息共享能对供应商带来显著的激励效应;被选供应商的个数越接近备选供应商的个数,全局需求信息共享的价值越明显,并存在最优备选供应商个数;在全局需求信息共享的基础上,若进一步共享供应商评价规则,当实际评价规则与供应商的预期评价规则不一致时,激励效应能进一步增加。
In the B2B e-commerce environment, based on the multi-supplier supply chain, the incentive effects of the global demand information sharing on the suppliers are studied through the establishment of a multi-agent simulation model, and the effect of each supply chain parameter on the incentive effects is investigated. The results show that, compared with the local demand information sharing, the global demand information sharing can bring significant incentive effect to the suppliers; the closer the number of the selected suppliers to the number of alternative suppliers, the more the value of the global demand information sharing Obviously, there exists the optimal number of alternative suppliers. On the basis of global demand information sharing, if the supplier evaluation rules are further shared, the incentive effect can be further increased when the actual evaluation rules are not consistent with the supplier’s expected evaluation rules.