数据驱动的决策,可持续的价值创造和国际企业业绩:基于AI语言模型的微层证据
1School of Economics and Statistics, Zhejiang Gongshang University Hangzhou College of Commerce, Hangzhou, Zhejiang, China.
PloS one
|February 11, 2026
概括
数据驱动决策 (DDDM) 通过创造可持续价值来提高国际公司的业绩. 这种影响被市场竞争,外国股权和国家所有权所加剧.
科学领域:
- 商业和管理的管理.
- 国际商业 国际商业 国际商业
- 可持续性研究 可持续性研究
背景情况:
- 数字化和国际化需要管理中的数据驱动决策 (DDDM).
- 了解DDM对国际公司业绩的影响至关重要.
研究的目的:
- 调查DDM对国际公司业绩的影响.
- 探索DDDM增强公司价值和绩效的机制.
- 确定调节DDM与性能关系的上下文因素.
主要方法:
- 使用人工智能语言模型 (BERT,ChatGLM2-6B) 来量化DDDM.
- 开发了一个框架来解释DDDM的价值创造途径.
- 采用定量分析来评估影响和缓解效应.
主要成果:
- DDDM对国际公司的业绩产生了积极的影响.
- 通过防止污染,绿色创新,可持续性披露和共同创造,DDDM提高了绩效.
- 市场竞争,外国股权和国家所有权放大了DDDM的积极影响.
结论:
- DDDM是国际公司业绩和可持续价值创造的关键驱动力.
- DDDM的机制跨越了内部和外部,当前和未来的维度.
- 公司的业绩取决于市场和所有权结构.
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