大数据定价方法的国内外研究综述及对比分析

A review and comparative analysis of domestic and foreign research on big data pricing methods

大数据独特的价值特征导致数据定价问题复杂,尽管研究者对此展开了大量研究,但大多角度单一且缺乏实际应用性。鉴于此,对大数据定价方法进行了综述,梳理出成本导向、市场导向、需求导向、利润导向以及基于生命周期定价的5种定价类型,对比了成本法、协议定价、市场法、收益法、基于质量以及基于查询的定价6种主流定价方法的优劣势;最后通过大数据定价流程分析进一步展现了不同定价方法各自的特点,并对数据定价方向进行了展望,以期为今后的相关研究提供一定的参考。

Due to the value characteristics of big data itself,the problem of data pricing is complicated.Although researchers have conducted a lot of research on this,most of them have a single angle and lack a certain practical application.In view of this,the big data pricing methods were reviewed,five types of pricing were sorted out:cost-oriented,market-oriented,demand-oriented,profit-oriented,and life-cycle-based pricing.The advantages and disadvantages of the six mainstream pricing methods were compared:cost method,agreement pricing,market method,income method,quality-based and query-based pricing.Finally,through the analysis of the big data pricing process,the characteristics of the different pricing methods were further revealed,and the data pricing direction was forecasted.The article aims to provide some reference for future related research.