• 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 ›› 2022, Vol. 40 ›› Issue (3): 410-419.

• 科技发展战略与政策 • 上一篇    下一篇

发达地区和欠发达地区工业数字化的组态路径——基于“技术-组织-环境”的理论框架分析

陈爽英1,雷波1,2,冯海红3   

  1. 1. 电子科技大学经济与管理学院
    2.
    3. 中国科学院科技战略咨询研究院
  • 收稿日期:2020-12-21 修回日期:2021-03-17 出版日期:2022-03-15 发布日期:2022-03-15
  • 通讯作者: 冯海红

Research on Technology-Organization-Environment Jointly Drive Industrial Digitization with Configuration Perspective ——Comparative analysis of underdeveloped regions and developed regions in China with QCA Methods

  • Received:2020-12-21 Revised:2021-03-17 Online:2022-03-15 Published:2022-03-15

摘要: 工业数字化是推动数字经济高质量发展的主要动力。本文基于新兴技术应用的“技术-组织-环境”(TOE)理论框架,构建驱动工业数字化的整合性分析框架,并运用定性比较分析(QCA)方法对经济欠发达地区和发达地区进行组态比较分析。研究发现:欠发达地区工业数字化高水平发展的驱动路径有3条,发达地区工业数字化高水平发展有2条;且两类地区有相同的通用性驱动路径,也有各自不同的专用性驱动路径。此外,两种地区工业数字化高水平发展的驱动路径中,不可或缺的核心条件不同,且技术、组织、环境条件之间的替代关系也不一样。该研究结论,有助于理性揭示区域工业数字化背后多重因素间复杂互动本质,并为经济欠发达地区与发达地区的工业数字化高水平发展带来有益的实践启示和政策建议。

Abstract: Industrial digitization is the main driving force for the high-quality development of China's digital economy. Based on technology-organization-environment (TOE) framework, this paper provides the integrated analysis framework of industry digitalization. Also, this paper employs QCA methods to explore the development of underdeveloped regions and developed regions in China on industry digitalization. Results show that high level of regional industry digitalization has three driven paths in underdeveloped regions, and high level of regional industry digitalization has two driven paths in developed regions. And the two types of regions have the common driven paths, but also have different configurational driven paths to high development of industry digitalization in China. In addition, the driven path about high development of industry digitalization has the different essential core conditions in the two regions, and the substitution relationship among technology, organization and environment is also different. The conclusions of this study are helpful to understand the nature of complex interaction among multiple factors behind the development of local digital economy. And they bring beneficial practice enlightenments and useful policy advices for industrial digitalization in economically underdeveloped and developed regions.