浅析国内大数据交易定价  

Research on Pricing of Big Data Transaction

作　　者：赵子瑞[1] 

机构地区：[1]上海社会科学院信息研究所,上海200235

出　　处：《信息安全与通信保密》2017年第5期61-67,共7页Information Security and Communications Privacy

摘　　要：本文经过梳理现行的6种大数据交易定价策略,从中提取出了数据质量评价指标、数据拆分指标、数据历史成交价指标、数据效用指标等4种现行的大数据交易定价指标,指出其内在弊端及缺乏对大数据产品成本的考虑,最后提出了包含人力指标、物力指标、交易佣金指标的大数据交易基本价格指标以及包含大数据产品指标、数据历史成交价指标、数据效用指标的大数据交易调整价格指标,以期搭建一套全国通行的大数据交易定价指标体系。The paper proposes four kinds of indicators of pricing of big data transaction such as evaluation indicators of data quality, split indicators of data, historical current rate indicators of data and utility indicators of data by combing six kinds of existing pricing strategies of big data transaction. Then the author points out that indicators of pricing of big data transaction have inherent abuses and lack the consideration of the cost of big data products. At last, the author proposes basic price indicators of big data transaction including human indicators, material indicators, indicators of transaction commission and adjusted price indicators of big data transaction including indicators of big data products, historical current rate indicators of＂ data, utility indicators of＂ data in order to build a national indicators system of pricing of big data transaction.

关 键 词：大数据 定价 大数据交易定价指标 成本价格论 

分 类 号：F49[经济管理—产业经济]