科研管理

科研管理 ›› 2024, Vol. 45 ›› Issue (5): 11-21.DOI: 10.19571/j.cnki.1000-2995.2024.05.002

• 论文 • 上一篇    下一篇

数字技术驱动的产业变革：研究综述与展望

谢卫红1,2，郑迪文1,3，李忠顺2,3，王永健1,3，王力纲2,3   

  1. 1.广东工业大学管理学院,广东 广州510520；
    2.广东工业大学经济学院,广东 广州510520;
    3.广东工业大学数字经济与数据治理重点实验室,广东 广州510520
  • 收稿日期:2023-09-13 修回日期:2024-03-07 出版日期:2024-05-20 发布日期:2024-05-07
  • 通讯作者: 王永健
  • 基金资助:
    国家社会科学基金重大招标课题：“人工智能对制造业转型升级的影响与治理体系研究”（23&ZD090，2023.12—2027.12）。

An industrial change driven by digital technology: A research review and prospect

Xie Weihong1,2, Zheng Diwen1,3, Li Zhongshun2,3, Wang Yongjian1,3, Wang Ligang2,3   

  1. 1. School of Management, Guangdong University of Technology, Guangzhou 510520, Guangdong, China;
    2. School of Economics, Guangdong University of Technology, Guangzhou 510520, Guangdong, China; 
    3. Key Laboratory of Digital Economy and Data Governance, Guangdong University of Technology, Guangzhou 510520, Guangdong, China
  • Received:2023-09-13 Revised:2024-03-07 Online:2024-05-20 Published:2024-05-07

摘要：      随着数字技术的快速发展，其在推动产业变革和创新中的作用变得尤为关键。尽管已有文献对此进行了探讨，但对深层次分析和理论框架的构建仍有较大空间。鉴于此，本研究通过系统文献综述法，对2001—2022年间发表于UTD24和FT50期刊的103篇数字技术驱动的产业变革研究主题文献进行统计分析。研究结果显示，第一，数字技术驱动的产业变革得益于政策环境的完善，为新兴技术如大数据提供支持，促进产业结构的优化和创新能力的增强，推动经济向可持续和高质量发展进步。第二，数字技术驱动的产业变革类型包括产业数字化应用、产业数字化扩展、产业数字化转型及产业数字化变革四类。第三，研究框架揭示了宏观（如政府政策、社会经济制度变迁等）、中观（如行业价值迁移、数字技术应用等）、微观（如企业研发和数字化转型等）层面的影响因素，以及数字化协同创新等中介机制和数字化治理等调节变量的作用过程，和短期经济冲击和长期价值链延伸等方面的影响效应。本研究结果不仅为本领域研究者提供了一个较为完整和系统的理论研究框架，促进了学术研究的深入发展，同时也为产业政策制定和管理实践提供了有益理论指导。

关键词: 数字技术, 产业变革, 产业数字化, 理论框架

Abstract:     As digital technology rapidly advances, its role in driving industrial transformation and innovation has become increasingly critical. Although existing literature has explored this area, there is still significant room for deep analysis and construction of theoretical frameworks. In response to this, this study employed a systematic literature review method to statistically analyze 103 pieces of literature on the theme of digital technology-driven industrial transformation published between 2001 and 2022 in UTD24 and FT50 journals. Building upon the conceptual delineation of digital technology-driven industrial transformation, this study constructed a comprehensive knowledge analysis framework that includes four categories: industrial digitalization application, industrial digitalization expansion, industrial digital transformation, and industrial digital change. Furthermore, based on the ABC (Antecedents-Behaviors-Consequences) analysis framework, it synthesized a thematic framework for digital technology-driven industrial transformation research, centered around influencing factors, operational processes, and impact effects. The study also proposed future research directions in three primary areas: exploration of micro-mechanisms, assessment of policy effects, and impacts on the social environment. The research results will not only provide a complete and systematic theoretical framework for scholars in this field, facilitating deeper academic exploration, but also will offer valuable theoretical guidance for the formulation of industrial policies and management practices.

Key words: digital technology, industrial change, industrial digitalization, theoretical framework