Driving forces of digital transformation in chinese enterprises based on machine learning
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View abstract on PubMed
Summary
This summary is machine-generated.Digital transformation drives enterprise sustainability. Organizational factors, particularly equity concentration and executive knowledge, are key drivers, outperforming technical and environmental aspects in predictive models.
Area Of Science
- Business Administration
- Information Systems
- Applied Economics
Background
- Digital transformation is crucial for enterprise sustainability, yet prior research often overlooks multi-dimensional feature impacts.
- Existing studies tend to focus on linear relationships between single characteristics and digital transformation.
Purpose Of The Study
- To explore the predictive effects of multi-dimensional features on enterprise digital transformation using machine learning.
- To identify key drivers of digital transformation based on Technology-Organization-Environment (TOE) theory.
- To compare the predictive accuracy of machine learning models against traditional methods.
Main Methods
- Utilized data from Chinese A-share listed companies (2010-2020).
- Employed machine learning techniques, including XGBoost and LightGBM, for predictive modeling.
- Applied the Technology-Organization-Environment (TOE) framework to analyze features.
Main Results
- Ensemble learning methods (XGBoost, LightGBM) demonstrated superior predictive ability over traditional linear regression.
- Organizational driving forces showed a more significant impact on digital transformation than technical or environmental factors.
- Equity concentration and executives' knowledge level were identified as the most impactful organizational characteristics.
Conclusions
- Machine learning models offer enhanced explanatory and predictive power for digital transformation research.
- Organizational factors, specifically equity concentration and executive knowledge, are critical for successful digital transformation.
- Findings provide a theoretical basis and practical insights for enterprises aiming to improve digital transformation strategies.
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