Research and Design of Personnel Management System Based on Web Technology and Nodejs Framework
With the increasingly fierce global economic competition, talent management plays an increasingly important role in the development of enterprises. Based on Web technology and Node.js framework, this paper discusses the design and research of an innovative enterprise personnel management system. First, we delve into the key technologies involved in developing this system, including Node.js and Vue.js. In particular, we highlight the key role of Nginx services and Websocket technology in the system, the operation of these technologies greatly improve the performance and stability of the system, providing enterprises with reliable talent management solutions. Through the in-depth communication with the personnel related staff of the enterprise, we accurately grasp the needs and functional design of the system. The system adopts the idea of agile development, constantly iterating and validating requirements to ensure that the final product is in line with user expectations, and constantly keeps pace with market changes. At the same time, we adopt the method of rapid prototyping and actively listen to the feedback of deep users, so as to continuously improve and enhance the user experience and functionality of the system. We conducted an in-depth analysis of the architecture of the personnel management system and highlighted its advantages in terms of security and interactivity. The security of the system has been recognized by users, after the preliminary research and clear needs, to ensure that the system can effectively meet the needs of enterprise personnel management. In short, the personnel management system based on Web technology and Node.js framework studied in this paper provides enterprises with an efficient, safe and interactive talent management solution, which is expected to provide strong support for enterprises to obtain sustainable advantages in the fierce market competition.
Authors
- Yiping Sheng (ORCID: https://orcid.org/0000-0001-8796-5128)
Institutions
- Zhejiang Gongshang University (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icdacai65086.2024.00062
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00