信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (4): 4-15.doi: 10.13365/j.jirm.2024.04.004

• 特约稿 •    下一篇

数字产业化与产业数字化协同发展中的数据价值实现

马费成1,2,3 王文慧1,2,3 孙玉姣1,2,3 熊思玥1,2,3   

  1. 1.武汉大学信息管理学院,武汉,430072
    2.武汉大学信息资源研究中心,武汉,430072
    3.武汉大学大数据研究院,武汉,430072
  • 出版日期:2024-07-26 发布日期:2024-08-14
  • 作者简介:马费成(通讯作者),教授,博士生导师,研究方向为情报学理论与方法、大数据分析与应用,Email:fchma@whu.edu.cn;王文慧,硕士生,研究方向为数字经济、数字人文;孙玉姣,硕士生,研究方向为数据要素、数字经济、社交媒体信息传播;熊思玥,硕士生,研究方向为数据要素、社交媒体信息传播、用户信息行为。
  • 基金资助:
    本文系国家社会科学基金“加快构建中国特色哲学社会科学学科体系、学术体系、话语体系”研究专项项目“新时代中国特色图情学基本理论问题研究”(19VXK09)的研究成果。

The Realization of Data Value in the Collaborative Development of Digital Industrialization and Industrial Digitization

Ma Feicheng1,2,3 Wang Wenhui1,2,3 Sun Yujiao1,2,3 Xiong Siyue1,2,3   

  1. 1.School of Information Management, Wuhan University, Wuhan, 430072
    2.Center for Studies of Information Resources, Wuhan University, Wuhan, 430072
    3.Big Data Research Institute, Wuhan University, Wuhan, 430072
  • Online:2024-07-26 Published:2024-08-14
  • About author:Ma Feicheng (corresponding author), professor, doctoral advisor, research interests include information science theory and methods, big data analytics and applications, Email: fchma@whu.edu.cn. Wang Wenhui, master student, research interests include digital economy, digital humanities. Sun Yujiao, master student, research interests include data elements, digital economy, social media information dissemination. Xiong Siyue, master student, research interests include data elements, social media information dissemination, user information behavior.
  • Supported by:
    This paper was supported by the National Social Science Foundation's special project "Research on Basic Theoretical Issues of Library and Information Science with Chinese Characteristics in the New Era"(19VXK09) on "Accelerating the Construction of Disciplinary, Academic, and Discourse Systems of Philosophy and Social Sciences with Chinese Characteristics".

摘要: 数字产业化和产业数字化的协同发展是推动经济转型升级的关键。本研究基于数据价值链,解释了数据资源、数据资产、数据商品和数据资本四种数据价值形态,针对产业数据和政府数据两种类型数据,揭示了数字产业化和产业数字化的关联性,同时分析了数字产业化和产业数字化协同发展中数据要素价值演变过程和价值实现环节。研究认为,数字经济“两化”协同发展过程蕴含了数据资产向数据商品的跳跃和数据商品向数据资本的演进两个价值实现过程;为推动数字经济“两化”协同发展,需要结合数据要素价值转化对数字产业、传统产业进行重塑升级。通过深入分析数字产业化与产业数字化的协同发展,研究深化了对数据要素价值实现的认识,提升了对数字经济发展规律的理解。

关键词: 数字产业化, 产业数字化, 协同发展, 数据价值, 数据价值链, 数据融合

Abstract: The collaborative development of digital industrialization and industrial digitization is crucial for driving economic transformation and upgrading. However, existing research lacks in-depth exploration of the collaborative relationship between digital industrialization and industrial digitization. This study, based on the data value chain, elucidates four forms of data value: data resources, data assets, data commodities, and data capital. It further reveals the relevance of digital industrialization and industrial digitization for the two types of data, industrial data and government data. Additionally, it analyzes the evolution process of data element value and the value realization stages in the collaborative development of digital industrialization and industrial digitization. The study demonstrates that the collaborative development of the digital economy consists two value realization processes: the leap from data assets to data commodities and the evolution from data commodities to data capital. To promote the collaborative development of the digital economy, it is necessary to reshape and upgrade both digital and traditional industries by combining the transformation of data element value. Through in-depth analysis of the collaborative development of digital industrialization and industrial digitization, this study enhances the understanding of data element value realization and comprehension of the laws governing digital economic development, providing valuable insights for research in this field.

Key words: Digital industrialization, Industrial digitization, Collaborative development, Data value, Data value chain, Data fusion

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