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探索数字化转型的途径:基于AMO框架的fsQCA分析
Jun Liu1, Ziwei Wang1, Changjin Li1
1School of Business Administration, Shandong University of Finance and Economics, Jinan, Shandong, China.
PloS one
|December 27, 2024
概括
传统行业的数字化转型需要多个因素协同工作,而不是一个. 四个配置显示了实现高数字化转型的不同途径,为企业提供了洞察力.
科学领域:
- 数字化转型研究 数字化转型研究
- 商业战略 商业战略
- 创新管理 创新管理
背景情况:
- 中国日益增长的数字经济需要传统行业进行数字化转型.
- 了解数字化转型的驱动因素对于高质量的发展至关重要.
- 关于传统企业如何实现数字化转型的研究有限.
研究的目的:
- 研究能力,动机和机会因素对数字化转型的协同效应.
- 使用AMO框架开发一个解释数字化转型先例的模型.
- 确定导致中国制造业企业高数字化转型的配置.
主要方法:
- 使用了能力-动机-机会 (AMO) 框架.
- 使用模糊集定性比较分析 (fsQCA).
- 分析了来自中国制造企业的数据.
主要成果:
- 没有单一的因素足以实现数字化转型;协同效应是必不可少的.
- 确定了四种配置和三条通往高数字化转型的途径.
- 观察到以动机为导向的机会,以总因素为导向的动机和以动机为导向的动机路径.
结论:
- 数字化转型是一个复杂的过程,需要多种因素的结合.
- 不同的能力,动机和机会的不同配置导致成功的数字化转型.
- 为追求数字化转型的企业提供理论和实践指南.
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