大数据定价方法的国内外研究综述及对比分析

刘枬; 郝雪镜; 陈俞宏

doi:10.11959/j.issn.2096-0271.2021063

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大数据定价方法的国内外研究综述及对比分析

研究 | 更新时间：2024-06-03

- 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 2021年7卷第6期页码：89-102
- 作者机构：
  
  1. 重庆交通大学经济与管理学院，重庆 400074
  2. 重庆市轨道交通（集团）有限公司，重庆 401120
- 作者简介：
  
  [ "刘枬（1966- ），男，博士，重庆交通大学经济与管理学院教授，主要研究方向为数据分析、工程管理信息化" ]
  [ "郝雪镜（1997- ），女，重庆交通大学经济与管理学院硕士生，主要研究方向为工程管理信息化" ]
  [ "陈俞宏（1994- ），女，就职于重庆市轨道交通（集团）有限公司，主要研究方向为项目评价" ]
- 基金信息：
  
  教育部人文社会科学项目;Humanities and Social Science Research Projects of The Ministry of Education of China(20XJAZH007);国家级大学生创新创业训练计划项目;National College Students’ Innovation and Entrepreneurship Training Program(202110618006)
- DOI：10.11959/j.issn.2096-0271.2021063
  中图分类号： F49
- 网络首发：2021-11，
  
  纸质出版：2021-11-15
- 稿件说明：
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刘枬, 郝雪镜, 陈俞宏. 大数据定价方法的国内外研究综述及对比分析[J]. 大数据, 2021,7(6):89-102.

Nan LIU, Xuejing HAO, Yuhong CHEN. A review and comparative analysis of domestic and foreign research on big data pricing methods[J]. Big data research, 2021, 7(6): 89-102.
刘枬, 郝雪镜, 陈俞宏. 大数据定价方法的国内外研究综述及对比分析[J]. 大数据, 2021,7(6):89-102. DOI： 10.11959/j.issn.2096-0271.2021063.

Nan LIU, Xuejing HAO, Yuhong CHEN. A review and comparative analysis of domestic and foreign research on big data pricing methods[J]. Big data research, 2021, 7(6): 89-102. DOI： 10.11959/j.issn.2096-0271.2021063.

摘要

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。

Abstract

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.

关键词

Keywords

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