Research Article
Research on the Construction of Internal Control Management System with Geoscience Documentation Center.CGS as an Example
@INPROCEEDINGS{10.4108/eai.23-2-2024.2345907, author={Jing Zhang and Jing Chen and Feng Zhou and Pengfei Lv}, title={Research on the Construction of Internal Control Management System with Geoscience Documentation Center.CGS as an Example}, proceedings={Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23--25, 2024, Kuala Lumpur, Malaysia}, publisher={EAI}, proceedings_a={IEDM}, year={2024}, month={5}, keywords={internal control; internal control system; management system}, doi={10.4108/eai.23-2-2024.2345907} }
- Jing Zhang
Jing Chen
Feng Zhou
Pengfei Lv
Year: 2024
Research on the Construction of Internal Control Management System with Geoscience Documentation Center.CGS as an Example
IEDM
EAI
DOI: 10.4108/eai.23-2-2024.2345907
Abstract
With the continuous development of big technology and big data, the demand for management informatization is constantly increasing. The complexity, convenience, and efficiency of management affairs have led to an increasing demand for risk prevention and control. In order to enhance the internal risk prevention and control capabilities of the unit, potential hazards are minimized and controlled as much as possible in advance. Therefore, we have built a set of internal management control systems suitable for public institutions. The system designed in this article is built using a platform+component (component) design approach, developed based on the JAVA architecture and adopting a centralized system structure to achieve process oriented internal control management in public institutions, achieve full process control of internal finance and affairs, change the situation of segmented management of various economic activities, information segmentation, and information silos, and thus improve the level and efficiency of unit management.All links are traceable, monitored, and have automatic risk warning, achieving intelligent integrated management.