研究论文

数智赋能新质生产力的历史演进、理论逻辑与实现方略

  • 王琳 ,
  • 徐驰 ,
  • 丁敬达
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  • 杭州电子科技大学中国科教评价研究院, 杭州 310018
王琳,教授,博士,博士生导师;徐驰,硕士研究生;丁敬达,教授,博士,博士生导师,通信作者,E-mail:djdhyn@126.com。

收稿日期: 2024-07-09

  修回日期: 2024-10-07

  网络出版日期: 2025-05-28

Historical Evolution, Theoretical Logic, and Implementation Strategies of New Qualitative Productivity Empowered by Data Intelligence

  • Wang Lin ,
  • Xu Chi ,
  • Ding Jingda
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  • Chinese Academy of Science and Education Evaluation, Hangzhou Dianzi University, Hangzhou 310018
Wang Lin, professor, PhD. doctoral supervisor; Xu Chi, master student; Ding Jingda, Professor, PhD, doctoral supervisor, corresponding author, E-mail: djdhyn@126.com.

Received date: 2024-07-09

  Revised date: 2024-10-07

  Online published: 2025-05-28

摘要

[目的/意义] 新质生产力作为数智时代生产力的新形态,已成为经济社会发展的重要驱动力。充分发掘数据和智能核心要素的效能,利用数智化创新赋能新质生产力是国家的重要发展战略。通过厘清数智赋能新质生产力的历史演进、理论逻辑与实现方略,为助力新质生产力发展提供理论支撑。[方法/过程] 梳理在信息社会中新质生产力的演变历程,阐述数智化技术在此过程中的推动作用。在此基础上分析数智赋能新质生产力的理论逻辑,对其实现路径进行探讨。[结果/结论] 由信息社会中发展的新质生产力是生产力的数字化和智能化程度不断提高的过程,数智赋能新质生产力的理论逻辑主要包含技术逻辑、价值逻辑和产业逻辑等方面。实现数智赋能新质生产力发展,需要加强数智赋能的政策引导与支持、推进颠覆性技术创新、培育战略性新兴产业和未来产业和推广数智化应用场景。

本文引用格式

王琳 , 徐驰 , 丁敬达 . 数智赋能新质生产力的历史演进、理论逻辑与实现方略[J]. 图书情报工作, 2025 , 69(11) : 66 -73 . DOI: 10.13266/j.issn.0252-3116.2025.11.006

Abstract

[Purpose/Significance] New qualitative productivity, as a new form of productivity in the digital age, has become an important driving force of economy and society development. Fully tapping into the effectiveness of data and intelligent elements and empowering new qualitative productivity through digital and intelligent innovation is a significant national development strategy. This article, through studying the historical evolution, theoretical logic, and implementation strategies of data intelligence empowering new qualitative productivity, provides theoretical support for developing new qualitative productivity. [Method/Process] This article outlined the evolution process from information productivity to new qualitative productivity and elaborated on the driving role of digital technology in this process. The theoretical logic of data intelligence empowering new qualitative productivity was analyzed, and its implementation path was explored. [Result/Conclusion] The development from information productivity to new qualitative productivity is a continuous improvement in digitalization and intelligence of productivity. Empowering new qualitative productivity with digital intelligence mainly includes technical logic, value logic and industrial logic. To develop new qualitative productivity empowered by data intelligence, we should strengthen policy guidance and support for data intelligence empowerment, advance disruptive technological innovation, cultivate strategic emerging industries and future industries, and promote data intelligence application.

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