关于智能制造企业技术创新道路的研究 - 基于TOE框架下的模糊集的定性比较分析
1Department of Global Business, Yeungnam University, Gyeongsan, Korea.
PloS one
|October 24, 2024
概括
智能制造创新不是由一个因素驱动,而是由研发,数字化转型和外部支持的组合驱动. 本研究确定了为企业实现高技术创新的三个不同的途径.
科学领域:
- 工业工程与管理 工业工程与管理
- 创新管理 创新管理
- 技术战略 技术战略
背景情况:
- 智能制造对于经济增长至关重要,但创新研究往往忽视了协同效应.
- 现有的研究缺乏对技术创新驱动因素的整体,链接分组的视角.
- 需要一个全面的框架来理解智能制造中的复杂创新路径.
研究的目的:
- 为智能制造企业的技术创新路径构建一个分析框架.
- 确定影响创新的关键先验变量及其组合.
- 探索多种条件对高技术创新的协同效应.
主要方法:
- 开发一个三维分析框架 (技术,组织,环境层面).
- 选择六个先验变量:研发投资,数字化转型,人力资本结构,利能力,政府支持和竞争地位.
- 对中国智能制造企业应用质量比较分析 (fsQCA) 模糊集的应用.
主要成果:
- 对于高技术创新来说,没有单一的变量是足够的;多种条件的协同效应至关重要.
- 确定三条通往高技术创新的独特途径:"政府和人力资源驱动型"",环境-组织联系型"和"组织性主导型".
- 证明创新途径取决于各种内部和外部因素的相互作用.
结论:
- 智能制造中的高技术创新源于多个因素的联合影响,而不是单独的变量.
- 企业可以根据其竞争地位和已识别的创新途径,采用量身定制的发展战略.
- 该研究为优化智能制造部门创新战略提供了可操作的见解.
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