铁路数据资产流通价值下数据资产定价

Research on Data Asset Pricing under the Value of Railway Data Asset Circulation

随着大数据技术的发展,数据作为生产要素在经济中起到关键作用,企业逐渐开始利用大数据通过各种方式赋能,以求能给企业带来更大利益。交通是经济建设的“先行官”,铁路是交通体系的重要一环,其积累的大量数据资源具有极高的应用价值。铁路信息数据化的底层逻辑是通过对数据的开发和对数据进行二次分析,将数据跨行业、跨系统传递利用,从而推动数据价值的增值。本文结合铁路数据动态性复杂、保密性强等特点,挖掘铁路数据资产定价的影响因素,通过对传统定价方法进行改进,结合AHP分析法构建出更切合实际的铁路数据资产价值评估模型。

With the development of big data technology, data plays a key role in the economy as a factor of production, and enterprises have gradually began to use big data to empower them in various ways in order to bring greater benefits to enterprises.Transportation is the "forerunner" of economic construction, and railways are an important part of the transportation system, and the large number of data resources accumulated by it have extremely high application value.The underlying logic of railway information digitization is to transfer and utilize data across industries and systems through the development of data and the secondary analysis of data, so as to promote the value-added of data.Based on the characteristics of railway data, such as complex dynamics and strong confidentiality, this paper looks for the influencing factors of railway data asset value.By improving the cost method and combining the AHP analysis method, a new and more realistic railway data asset valuation model is constructed.