测量高端设备制造业的数字化转型:基于IPO模型的方法
Yinzhong Chen1, Jingfeng Huang2, Yimeng Li3
1School of Economics and Finance, Sichuan International Studies University, Chongqing, People's Republic of China.
Scientific reports
|July 27, 2025
概括
高端设备制造商在2016-2021年期间显示数字化转型增长缓慢. 主要障碍包括企业意识和转型过程,尽管这些挑战略有减少.
科学领域:
- 制造业 工程 制造工程
- 工业经济学 工业经济学
- 数字化转型 数字化转型
背景情况:
- 数字化转型对于高端设备制造的价值链升级和高质量发展至关重要.
- 评估数字化转型水平和识别障碍对于战略进步至关重要.
研究的目的:
- 为高端设备制造业数字化转型构建一个评估指数系统.
- 评估数字化转型水平,并分析这些企业在2016年至2021年的障碍.
主要方法:
- 利用输入-处理-输出 (I-P-O) 理论模型构建一个评估指数系统.
- 使用VHSD-EM模型评估124家企业的数字化转型水平 (2016-2021年).
- 应用了障碍模型来识别主要障碍物.
主要成果:
- 数字化转型水平在2016-2021年间呈现缓慢上升趋势,很少有企业实现了出色的水平.
- 在五个关键领域观察到得分和变化的显著差异.
- 主要障碍集中在五个关键领域,略有上升趋势,而企业意识和流程挑战则略有下降趋势.
结论:
- 高端设备制造业的数字化转型正在进展,但需要加快努力.
- 解决企业意识和流程相关挑战是克服主要障碍的关键.
- 持续监测和战略干预是必要的,以促进更高质量的数字化转型.
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