信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (2): 73-90.doi: 10.13365/j.jirm.2025.02.073

• 研究论文 • 上一篇    下一篇

政府主导型数据交易平台的发展模式、困境与对策——基于经典扎根理论的研究

华美芳1,2 张勇1,2   

  1. 1.中国计量大学经济与管理学院,杭州,310018; 
    2.中国计量大学质量经济研究所,杭州,310018
  • 出版日期:2025-03-26 发布日期:2025-04-11
  • 作者简介:华美芳,硕士研究生,研究方向为数据要素市场与标准化;张勇(通讯作者),硕士生导师,教授,研究方向为数字经济与标准化,Email: zhfc@cjlu.edu.cn。
  • 基金资助:
    本文系浙江省哲学社科规划课题“习近平标准思想研究”(18MYZX09YB)、浙江省软科学研究计划重点项目“技术标准与知识产权实现科技成果产业化机制研究”(2020C25030)、“浙江省科研诚信标准机制研究”(2020C25033)的研究成果。

The Development Pattern, Dilemmas, and Countermeasures of Government-Led Data Trading Platforms:An Analysis Based on Classical Grounded Theory

Hua Meifang1,2 Zhang Yong1,2   

  1. 1.School of Economics and Management, China Jiliang University, Hangzhou, 310018; 
    2. Institute of Quality Economics, China Jiliang University, Hangzhou, 310018
  • Online:2025-03-26 Published:2025-04-11
  • About author:Hua Meifeng, master candidate, with research interests in data element market and standardization; Zhang Yong(corresponding author), master supervisor, professor, with research interests in digital economy and standardization, Email: zhfc@cjlu.edu.cn.
  • Supported by:
    This paper is funded by the Zhejiang Provincial Philosophy and Social Science Planning Project "Research on Xi Jinping's Standardized Thought" (18MYZX09YB), the Key Project of Zhejiang Provincial Soft Science Research Plan "Research on the Mechanism of Technological Standards and Intellectual Property Rights for the Industrialization of Scientific and Technological Achievements" (2020C25030), and the "Research on the Standard Mechanism of Scientific Research Integrity in Zhejiang Province" (2020C25033).

摘要: 政府主导型数据交易平台正在引领我国数据要素市场的蓬勃发展。本研究聚焦五家标杆平台,运用经典扎根理论,剖析其发展模式及困境。研究发现,其发展模式可归纳为政策引导、发展战略、标准化建设、数商生态培育以及平台服务五要素。目前,政府主导型数据交易平台发展面临着核心竞争力缺乏、互联互通性薄弱、数据孤岛现象凸显、交易规模受限等多重困境。为此,平台需从差异化定位、共筑标准生态互联、共建数商生态联盟、积极拓展双边用户群体等方面扩大市场影响力。同时,国家数据局应统筹规划平台布局,强化一体化安全监管,为市场健康发展筑牢安全屏障。

关键词: 数据要素市场, 数据交易平台, 政府主导, 发展模式, 经典扎根理论

Abstract: Government-led data trading platforms are spearheading the robust development of China's data factor market. This study focuses on five bench mark platforms, employing the classical grounded theory framework to analyze their development patterns and challenges. The findings reveal that their developmental models can be summarized into five key elements: policy guidance, developmental strategies, standardization construction, platform services, and the cultivation of a digital business ecosystem. However, these platforms face several challenges, including a lack of core competitiveness, insufficient interconnectivity, pronounced data silos, and limited transaction scales. To address these challenges, platforms need to expand their market influence through differentiated positioning, joint construction of a standardized interconnected ecosystem, collaborative development of digital business alliances, and active expansion of bilateral user groups. Meanwhile, the National Data Administration should undertake overall planning for platform deplayment, strengthen integrated security supervision, and establish a robust safety framework to ensure the healthy development of the market.

Key words: Data element market, Data trading platform, Government-led, Development model, Classical grounded theory

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