| Issue |
E3S Web Conf.
Volume 245, 2021
2021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
|
|
|---|---|---|
| Article Number | 03063 | |
| Number of page(s) | 4 | |
| Section | Chemical Performance Research and Chemical Industry Technology Research and Development | |
| DOI | https://doi.org/10.1051/e3sconf/202124503063 | |
| Published online | 24 March 2021 | |
Using AI to Improve Corporate Governance
1. College of Accounting, Nanfang College of Sun Yat-Sen University, Guangzhou, Guangdong, 510970, China
2. College of Public Administration, Nanfang College of Sun Yat-Sen University, Guangzhou, Guangdong, 510970, China
* Corresponding author’s e-mail: zhangshf@nfu.edu.cn
This paper mainly discusses the relationship between corporate governance and dynamic business performance in semiconductor industry. Although there have been many discussions on the relationship between corporate governance and corporate performance in the past, there is no consistent conclusion. We intend to analyze and compare the corporate governance variables group, the expression of long-term performance and the differences between upstream, midstream and downstream of semiconductor industry. In addition, because the existing problems of corporate governance can not be solved by the current rigid system, we attempt to cut in from the perspective of AI and propose the effect of automatic warning.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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