图书情报工作 ›› 2023, Vol. 67 ›› Issue (15): 4-13.DOI: 10.13266/j.issn.0252-3116.2023.15.001

• 专题:数据价值与数据创新研究 • 上一篇    下一篇

数字化转型视域下的数据价值研究综述:内涵阐述、作用机制、场景应用与数据创新

马捷1,2, 郝志远1, 李丽华1, 张羽1   

  1. 1 吉林大学商学与管理学院 长春 130012;
    2 吉林大学信息资源研究中心 长春 130012
  • 收稿日期:2023-02-13 修回日期:2023-04-17 出版日期:2023-08-05 发布日期:2023-08-03
  • 通讯作者: 郝志远,博士研究生,通信作者,E-mail:15391910163@163.com
  • 作者简介:马捷,教授,博士生导师;李丽华,硕士研究生;张羽,硕士研究生。
  • 基金资助:
    本文系国家社会科学基金重大项目“总体国家安全观下重大突发事件的智能决策情报体系研究”(项目编号:20&ZD125)研究成果之一。

A Review of Data Value Research from the Perspective of Digital Transformation: Connotation Description, Mechanism, Scenario Application and Data Innovation

Ma Jie1,2, Hao Zhiyuan1, Li Lihua1, Zhang Yu1   

  1. 1 School of Business and Management, Jilin University, Changchun 130012;
    2 Information Resources Research Center, Jilin University, Changchun 130012
  • Received:2023-02-13 Revised:2023-04-17 Online:2023-08-05 Published:2023-08-03

摘要: [目的/意义] “数据价值”作为数字化转型视域下一种不断深化的概念,当前与之直接相关的研究尚处探索阶段。对既有研究进行解构梳理、认知辨识,有利于开掘激发数据潜力、释放数据活力的全新数字化范式。[方法/过程] 在数字化转型背景下探索数据价值的概念内涵,并结合数字化转型的现实特征以及既有研究所呈现出的热点态势,明晰数据价值的作用机制,厘清数据价值在不同外化场景中的应用表现,同时洞悉数据价值驱动下的数据创新行为,最终剖析出当前数据价值研究存在的局限与桎梏。[结果/结论] 当前关于数字化转型视域下的数据价值研究总体呈现出分散化、模块化的态势特征,相关研究的聚焦性不强、侧重性不明显。未来还需要在数据成为生产要素的价值特征、数据价值“形成、释放、实现”的理论逻辑以及科学设计数据价值驱动的数据创新路径与实现模式等方面深入探索。

关键词: 数字化转型, 数据价值, 数据创新, 研究综述

Abstract: [Purpose/Significance] "Data value" is a deepening concept under the perspective of "digital transformation", and the research directly related to it is still in the exploration stage. Deconstructing and cognitively identifying existing research is conducive to exploring a new digital paradigm that stimulates the potential of data and releases its vitality.[Method/Process] This study explored the conceptual connotation of data value in the context of digital transformation, combined the actual characteristics of digital transformation and the hot situation presented by existing research, clarified the mechanism of data value. Then, it clarified the application performance of data value in different externalization scenarios, and provided insight into the data innovation behavior driven by data value, and finally analyzed the limitations and shackles of the current data value research.[Result/Conclusion] The current research on data value from the perspective of digital transformation generally shows the characteristics of decentralization and modularization, and the focus of related research is not strong and the focus is not obvious. In the future, it is also necessary to explore the value characteristics of data as a factor of production, the theoretical logic of "formation, release and realization" of data value, and the scientific design of data innovation paths and realization models driven by data value.

Key words: digital transformation, data value, data innovation, research review

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