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The credit game on network supplier and customer based on big data

机译:基于大数据的网络供应商和客户信用游戏

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摘要

In this paper, we make B2C transaction as the research object, to analyze the transaction credit game on network supplier and customer based on big data. In the condition of considering the cost of B2C network supplier improving commodity credit, and the cost of B2C customer analyzing and managing network supplier commodity credit big data, constructing the credit game relationship model, analyzing the game process and the influence factors, and simulating the game process using System Dynamics theory model. The research only is a part of the research on B2C network supplier and customer transaction credit relationship, and is a part of the research on B2C network supplier and customer transaction process in big data environment, this paper is only to illustrate the variation that big data bring to B2C network supplier and customer transaction behavior. To the application and research of big data in network transaction credit management, this paper research result has a certain reference value.
机译:本文以B2C交易为研究对象,基于大数据分析网络供应商和客户的交易信用博弈。在考虑B2C网络供应商提高商品信用的成本,B2C客户分析和管理网络供应商商品信用大数据的成本的情况下,构建信用博弈关系模型,分析博弈过程和影响因素,并进行模拟。游戏过程使用系统动力学理论模型。该研究只是大数据环境下B2C网络供应商与客户交易信用关系研究的一部分,也是大数据环境下B2C网络供应商与客户交易过程研究的一部分,本文只是为了说明大数据的变化。带给B2C网络供应商和客户交易行为。对于大数据在网络交易信用管理中的应用和研究,本文的研究结果具有一定的参考价值。

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