电商平台信用信息共享策略演化

发布时间：2019-05-08 21:46

【摘要】：作为电子商务的主要媒介,电商平台可记录入驻商户和消费者的交易信息,实现对双方信用的有效评估,故电商平台间的信用信息共享策略,能有效改善我国互联网信用环境.对此,基于演化博弈理论,构建了共享策略基础博弈模型,并考虑互联网环境中电商平台数量有限的情形,引入Moran过程分析共享策略的随机演化动态,以探讨促使电商平台选择信用信息共享策略的有利条件.研究发现,通过降低共享数据处理成本、加大非合作的惩罚力度、增强面向优质商户的优惠政策等手段,能有效激励各电商平台达到信息共享策略的稳定状态.此外,数值算例充分论证了模型的有效性及政策建议的合理性.
[Abstract]:As the main medium of e-commerce, e-commerce platform can record the transaction information of resident merchants and consumers, and realize the effective evaluation of both sides' credit. Therefore, the strategy of sharing credit information between e-commerce platforms can effectively improve the Internet credit environment of our country. In this paper, based on the evolutionary game theory, the basic game model of sharing strategy is constructed. Considering the limited number of e-commerce platforms in the Internet environment, the Moran process is introduced to analyze the stochastic evolution dynamics of the sharing strategy. In order to explore the favorable conditions to promote e-commerce platform to choose credit information sharing strategy. It is found that by means of reducing the cost of sharing data processing, increasing punishment for non-cooperation and enhancing preferential policies for high-quality merchants, all e-commerce platforms can be effectively encouraged to achieve a stable state of information sharing strategy. In addition, numerical examples fully demonstrate the validity of the model and the rationality of policy recommendations.
【作者单位】：北京化工大学理学院;北京化工大学经济管理学院;北京航空航天大学济管理学院;
【基金】：国家自然科学基金资助项目(71433001;71301006;71372195)
【分类号】：F724.6

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