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首页> 外文期刊>BioTechnology: An Indian Journal >Analysis and optimization of the tripartite evaluation system of taobao
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Analysis and optimization of the tripartite evaluation system of taobao

机译：淘宝网三方评价体系分析与优化

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摘要

A tripartite evaluation system which was lack of research before is analyzed in depth based on the relationship of Taobao’s buyers, sellers and the platform itself, which is the typical representative of C2C e-commerce. Then this system is overall analyzed and optimized. Firstly, the basic tripartite relationship is expressed by a traffic-light model. Secondly, by mainly using online questionnaire to survey Taobao’s current situation of satisfaction degree and its tripartite evaluation system, combined with the satisfaction degree system-related data from the customer satisfaction degree department in Taobao, there are three problems to be analyzed. They are "lack of feedback mechanisms in tripartite evaluation system of Taobao", "low participation degree of evaluation" and "unreasonable assessment standards". Then, the new tripartite evaluation traffic-light model is designed. From three parties of "using Ali cloud services to optimize evaluation program", "proving participation degree of evaluation" and "optimizing assessment criteria of custom service persons in Taobao", the model is expounded in depth. At last, feasibility analysis based on technical, organizational and risk of tripartite evaluation system is done.
机译：根据淘宝的买家，卖家和平台本身（C2C电子商务的典型代表）之间的关系，对以前缺乏研究的三方评估系统进行了深入分析。然后对该系统进行整体分析和优化。首先，基本的三方关系由交通信号灯模型表示。其次，主要通过使用在线问卷调查淘宝网的满意度程度及其三方评价体系，结合淘宝网客户满意度部门的满意度数据，分析了三个问题。它们是“淘宝网三方评价体系缺乏反馈机制”，“评价参与度低”和“评价标准不合理”。然后，设计了新的三方评价交通信号灯模型。该模型从“使用阿里云服务优化评估程序”，“提高评估参与度”和“优化淘宝海关服务人员评估标准”三个方面进行了深入阐述。最后，基于三方评价体系的技术，组织和风险进行了可行性分析。

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