How Digital Transformation Affects Enterprise Performance: Evidence from Machine Algorithms
Digital transformation of enterprises, as one of the core issues in modern enterprise management, has become an important scenario for computer applications. This article empirically analyzes how digital transformation affects enterprise performance based on data from Chinese A-share listed companies from 2011 to 2022, using machine learning methods from artificial intelligence technology to explore the predictive capability of digital transformation on enterprise performance. The research results indicate a significant positive correlation between digital transformation and enterprise performance in Chinese companies, and that machine learning methods can effectively handle the relationships between variables, improving the accuracy of enterprise performance predictions. This study provides theoretical and practical support for how enterprises can improve their performance through the application of computer technology during the process of digital transformation.
Authors
- Rui Fu
- Feng Chen (ORCID: https://orcid.org/0009-0001-1943-9094)
- Ying Zhang (ORCID: https://orcid.org/0009-0001-5180-3829)
Institutions
- Xihua University (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3708036.3708213
- Primary Topic
- Business and Economic Development
- Type
- article
- Field-Weighted Citation Impact
- 0.00