面向数据产品的交易机制设计研究

doi:10.16381/j.cnki.issn1003-207x.2025.0053

Abstract

Abstract:

In response to the national policy guideline of developing and improving the market allocation of data elements， an innovative market allocation model of data elements is proposed from the perspective of data trading platforms. First， the unique content of the data trading system is analyzed in terms of data products and their characteristics， data trading system and its components， as well as risks in data trading. Then， existing studies related to the data trading system are reviewed to sort out their contributions and shortcomings. On this basis， four sorts of scientific issues required to be solved urgently in future research on the allocation model of data trading system based on data trading platforms are distilled：（1） construction of the supply chain of data products and identification of price influencing factors；（2） the price formation mechanism for the design of various types of data products；（3） design of the revenue sharing mechanism and incentive mechanism for data trading system； and （4） establishment of the quality and security monitoring system of data products for the whole chain. Finally， possible research solutions for the above scientific problems are proposed， providing some reference and direction for future research.

Key words: data elements, data trading system, price formation mechanism, revenue sharing mechanism, quality and security monitoring of data products

CLC Number:

Yelin Fu,Zhishan Yu,Zhuomin Liang, et al. Trading Mechanism Design for Data Products[J]. Chinese Journal of Management Science, 2026, 34(3): 134-145.

Figures/Tables 2

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Trading Mechanism Design for Data Products

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