浅谈大数据决策（81研读分享不确定性分析视角下大数据信息服务定价研究文献综述）

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今天小编为大家带来文章：81研读分享论文5-3：精读博士论文-《不确定性分析视角下大数据信息服务定价研究》文献综述。

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Today's small series for you to bring the article:81 Study and share thesis 5-3: Intensive doctoral dissertation - Literature review of "Research on Big Data Information Service Pricing from the Perspective of Uncertainty Analysis" .

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今日内容摘要Abstract：

阅读并分析博士论文《不确定性分析视角下大数据信息服务定价研究》中文献综述的写作。

Read and analyze the writing of the literature review in the doctoral dissertation "Research on the Pricing of Big Data Information Services from the Perspective of Uncertainty Analysis".

正文 body part：

首先，作者对不确定性的来源进行文献分析（图1、2）。按照该课题的研究进度，依次介绍了国外对不确定性来源的研究成果，总共得到七种来源。分别是：最终客户需求、需求放大、制造过程的不确定性、供应不确定性、控制的不确定性、并行交互、决策的复杂性。国内学者对不确定性的来源，给出的回答有：需求不确定性和服务过程的不确定性、风险和非风险、外生不确定性和内生不确定性、市场和政策。还有一些学者针对特定的服务目标，提出了不确定性模型。作者根据国内外的研究成果，将不确定性的来源进行了分类和总结，得到内部组织不确定性、内部供应链不确定性和外部不确定性。

First, the authors conducted a literature analysis of sources of uncertainty (Figures 1, 2). According to the research progress of this topic, the foreign research results on the sources of uncertainty are introduced in turn, and seven sources are obtained in total. They are: final customer demand, demand amplification, manufacturing process uncertainty, supply uncertainty, control uncertainty, parallel interactions, and decision-making complexity. The answers given by domestic scholars to the sources of uncertainty include: demand uncertainty and service process uncertainty, risk and non-risk, exogenous and endogenous uncertainty, market and policy. Some scholars have proposed uncertainty models for specific service goals. According to the research results at home and abroad, the author classifies and summarizes the sources of uncertainty, and obtains the internal organizational uncertainty, internal supply chain uncertainty and external uncertainty.

图1 Figure 1

图2 Figure 2

对于不确定性的管理策略，作者从两方面进行总结。分别是减少不确定性（图3）和降低不确定性带来的影响（图4）。在减少不确定性方面，可以做的有精艺操作、产品设计、过程性能测量、ＤＳＳ、协同、短期计划、决策方案和程序、信息通信技术系统、定价策略、重构供应链配置和基础设施。降低不确定带来的影响，可行的措施有提高供应链的灵活性、提高制造商的灵活性。本文的研究属于从定价方面来减少不确定性。

For the management strategy of uncertainty, the author summarizes from two aspects. These are uncertainty reduction (Figure 3) and the impact of uncertainty reduction (Figure 4). In terms of reducing uncertainty, there are refined operations, product design, process performance measurement, DSS, collaboration, short-term planning, decision-making programs and procedures, ICT systems, pricing strategies, reconfiguring supply chain configurations and infrastructure . To reduce the impact of uncertainty, feasible measures include improving the flexibility of the supply chain and improving the flexibility of manufacturers. The research in this paper belongs to reducing uncertainty from the pricing aspect.

图3 Figure 3

图4 Figure 4

在论述大数据信息服务定价之前，需要先研究信息服务定价，进一步地，需要论述定价需要考虑的因素——特定服务或产品的目标；成本函数的性质和成本回收的目的；需求和市场的性质／水平（图5）。对于信息服务的定价，作者首先找到了2000年关于商务信息服务的研究文献，文献对该服务分类为——打包信息服务和在线信息服务。后续的文献中（图6），依次研究信息技术服务的价值定价、网络服务定价、销售信息服务的网络平台定价、物流信息服务定价、云服务定价、物流平台信息服务定价。

Before discussing the pricing of big data information services, it is necessary to study the pricing of information services. Further, it is necessary to discuss the factors that need to be considered in pricing - the goal of a particular service or product; the nature of the cost function and the purpose of cost recovery; the nature of demand and market / level (Figure 5). Regarding the pricing of information services, the author first found the research literature on business information services in 2000, and the literature classified the services as packaged information services and online information services. In the subsequent literature (Figure 6), the value pricing of information technology services, network service pricing, network platform pricing for selling information services, logistics information service pricing, cloud service pricing, and logistics platform information service pricing are studied in turn.

图5 Figure 5

图6 Figure 6

有了前面的文献做理论基础，作者进一步对大数据信息服务定价8篇研究文献进行分析（图7、8）。总结来看，这8篇文章只有一篇与大数据信息服务定价直接相关，其他文献则是从网络转换效率、云计算平台的服务定价、大数据本身质量及价值评估等问题进行了探讨，但对大数据信息服务的定价机制和不同主体之间的大数据信息服务定价问题并未做深入细致的研究。

With the previous literature as the theoretical basis, the author further analyzes 8 research literatures on big data information service pricing (Figures 7 and 8). To sum up, only one of the eight articles is directly related to the pricing of big data information services, and the other papers discuss issues such as network conversion efficiency, service pricing of cloud computing platforms, and the quality and value evaluation of big data itself. There is no in-depth and detailed research on the pricing mechanism of big data information services and the pricing of big data information services among different entities.

图7 Figure 7

图8 Figure 8

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参考文献：

郭春芳. 不确定性分析视角下大数据信息服务定价研究[D]. 北京交通大学, 2019.

英文翻译：Google翻译。

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