1. 复旦大学管理学院,上海 200433
2. 上海数据交易所有限公司,上海 201203
[ "黄丽华(1965- ),女,博士,复旦大学管理学院教授,主要研究方向为信息系统、数据流通与管理、电子商务、数字化转型。" ]
[ "窦一凡(1985- ),男,博士,复旦大学管理学院副教授,主要研究方向为电子商务。" ]
[ "郭梦珂(1991- ),女,复旦大学管理学院电子商务研究中心研究员,主要研究方向为数据治理。" ]
[ "汤奇峰(1968- ),男,上海数据交易所有限公司总经理,国务院政府特殊津贴专家,高级工程师,主要研究方向为数据流通、数据交易、人工智能。" ]
[ "李根(1992- ),男,博士,复旦大学管理学院助理教授,主要研究方向为众筹、知识平台、金融科技。" ]
网络首发:2022-05,
纸质出版:2022-05-15
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黄丽华, 窦一凡, 郭梦珂, 等. 数据流通市场中数据产品的特性及其交易模式[J]. 大数据, 2022,8(3):3-14.
Lihua HUANG, Yifan DOU, Mengke GUO, et al. Features and transaction modes of data products in data markets[J]. Big data research, 2022, 8(3): 3-14.
黄丽华, 窦一凡, 郭梦珂, 等. 数据流通市场中数据产品的特性及其交易模式[J]. 大数据, 2022,8(3):3-14. DOI: 10.11959/j.issn.2096-0271.2022045.
Lihua HUANG, Yifan DOU, Mengke GUO, et al. Features and transaction modes of data products in data markets[J]. Big data research, 2022, 8(3): 3-14. DOI: 10.11959/j.issn.2096-0271.2022045.
数据的流通交易是数据要素市场化配置的关键环节。我国前期的数据市场探索过程中暴露出一系列问题,迫切需要从理论角度对数据市场基本逻辑进行重新梳理。从交易成本理论、电子市场框架和电子交易模式等不同视角分析了数据产品流通过程,并提出数据的可计算性给数据交易带来了两类影响:一方面,可计算性使得数据能够被不断分析从而更加符合垂直领域的需求;另一方面,可计算性也会推动数据交易过程离开市场,呈现去平台化的趋势。基于电子市场经典理论框架将数字产品分为4个象限并进行相应分析,提出了对数据供方和数据市场管理者的建议。
Developing the markets of data as a factor of production is the key in the efficient allocation of data factor.However
the early practices of data markets in China have revealed a series of problems
which urgently calls for a systematic review and analysis on the data market theoretical mechanisms.The circulation process of data products was analyzed from different perspectives
such as transaction cost theory
electronic market framework
and electronic trading mode.And it was further proposed that the effects of the data computability were two-fold.On the one hand
the computability enabled data to be analyzed so as to fit in the specific demand in certain industries.On the other hand
the computability was also likely to remove the data transaction process from the market
also known as platform disintermediation.Based on the classical theoretical framework of electronic market
the offerings of data products were divided into four quadrants and analysis was conducted correspondingly.Finally
suggestions for data product suppliers and data transaction platform providers were put forward.
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