• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2023, Vol. 41 ›› Issue (5): 807-817.

• 科技发展战略与政策 • 上一篇    下一篇

装备制造业智能化转型升级影响因素及作用机理

杨瑾1,王一辰2,2   

  1. 1. 西北工业大学公共政策与管理学院
    2.
  • 收稿日期:2022-04-07 修回日期:2022-07-26 出版日期:2023-05-15 发布日期:2023-05-15
  • 通讯作者: 杨瑾
  • 基金资助:
    国家自然科学基金;国家自然科学基金;陕西省软科学研究计划项目

Research on Impact Factors and Mechanism of Intelligent Transformation and Upgrading of Equipment Manufacturing Industry

  • Received:2022-04-07 Revised:2022-07-26 Online:2023-05-15 Published:2023-05-15

摘要: 智能化转型作为提升装备制造业在全球价值链地位的重要途径,受到多因素的综合影响,而现有研究少有将多因素共同纳入同一系统中进行探讨。通过运用多案例扎根的方法,梳理和归纳了影响我国装备制造业智能化转型升级的6个因素,并结合智能化转型升级的四个维度构建了相应的理论模型。在此基础上,运用模糊集定性比较分析方法(fsQCA),从组态视角深入分析各影响因素的作用机理。研究结果表明:(1)装备制造业在不同维度的智能化转型升级过程中的关键影响因素存在差异。(2)在企业智能化转型的各个环节中,都需要智能管理平台的构建。(3)互联互通、智能制造技术与研发投入三者之间存在着一定程度的互替性。根据研究结果并结合案例分析,为装备制造业智能化转型升级提供策略依据。

Abstract: Intelligent transformation, as an important way to improve the status of equipment manufacturing industry in the global value chain, is affected by multiple factors, but few existing studies put multiple factors into the same system for discussion. By using the method of multi case rooting, this paper combs and summarizes six factors affecting the intelligent transformation and upgrading of China's equipment manufacturing industry, and constructs the corresponding theoretical model combined with the four dimensions of intelligent transformation and upgrading. On this basis, fuzzy set qualitative comparative analysis method (fsqca) is used to deeply analyze the action mechanism of various influencing factors from the perspective of configuration. The results show that: (1) the key influencing factors of equipment manufacturing industry in the process of intelligent transformation and upgrading in different dimensions are different. (2) The construction of intelligent management platform is needed in all links of enterprise intelligent transformation. (3) Interconnection, intelligent manufacturing technology and R&D investment are interchangeable to a certain extent. According to the research results and case analysis, it provides a strategic basis for the intelligent transformation and upgrading of equipment manufacturing industry.