信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2024, Vol. 50 ›› Issue (4): 66-78.doi: 10.12267/j.issn.2096-5931.2024.04.010

专题:数据要素 上一篇    下一篇

数据定价研究的主题演变及趋势——基于CiteSpace的文献计量分析*

Theme evolution and research trend of data pricing:bibliometric analysis based on CiteSpace

梁燕妮1,2, 尤建新2   

  1. 1.北部湾大学经济管理学院,钦州 535011
    2.同济大学经济与管理学院,上海 200092
  • 收稿日期:2024-03-13 出版日期:2024-04-25 发布日期:2024-05-07
  • 通讯作者: 尤建新, 同济大学经济与管理学院教授、博士生导师,主要研究方向为数字经济、创新与质量管理
  • 作者简介:
    梁燕妮, 北部湾大学经济管理学院专任教师、博士、硕士生导师,同济大学经济与管理学院博士后,主要研究方向为数字经济、物流与供应链管理

LIANG Yanni1,2, YOU Jianxin2   

  1. 1. School of Economics and Management, Beibu Gulf University, Qinzhou 535011, China
    2. School of Economics and Management, Tongji University, Shanghai 200092, China
  • Received:2024-03-13 Online:2024-04-25 Published:2024-05-07

摘要:

由于数据定价对促进企业数字化转型、构建数据要素市场和促进经济可持续发展具有重要意义,因此借助CiteSpace文献计量分析软件,以中国知网、Web of Science数据库中相关研究文献为数据源,聚焦数据定价研究的主题演变、趋势、时代背景,对1993—2022年国内外数据定价权威文献进行计量分析。研究发现,1993—2022年国内外数据定价的研究整体呈波动上升趋势,近3年热度明显;研究模式国外多为合作共享研究而国内多为独立研究,均缺乏研究机构与数据供应商的合作研究;研究内容国内侧重于数据定价的成本效益、公平交易、隐私权属等,国外则侧重于数据定价的隐私安全与保护、人工智能算法、客户服务质量等,均与信息技术的发展密切相关;未来,数据定价研究将进一步立足“双碳”背景,结合环境、社会和公司治理(Environmental, Social and Governance,ESG)投资理念,布局和拓展新视角。

关键词: 数据, 定价方法, CiteSpace, 研究趋势

Abstract:

Due to the significant importance of data pricing in promoting digital transformation of enterprises, building data element markets, and promoting sustainable economic development, CiteSpace bibliometric analysis software is used to focus on the theme evolution, trends, and historical background of data pricing research, using relevant research literature from China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) databases as data sources. This paper conducts a quantitative analysis of authoritative domestic and foreign data pricing literature from 1993 to 2022. Research has found that from 1993 to 2022, research on data pricing both domestically and internationally has shown an overall fluctuating upward trend, with significant heat in the past three years. The research mode in foreign countries is mostly collaborative and shared research, while in China, it is mostly independent research, lacking collaborative research between research institutions and data suppliers. The research content in China focuses on the cost-effectiveness, fair trade, privacy ownership, etc. of data pricing, while abroad focuses on privacy security and protection, artificial intelligence algorithms, customer service quality, etc. of data pricing, all of which are closely related to the development of information technology. In the future, data pricing research will further focus on the “dual carbon” background, combining Environmental, Social and Governance (ESG) investment concepts, and laying out and expanding new perspectives.

Key words: data, pricing method, CiteSpace, research trend

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