The Design and Implementation of HRM in Cloud Computing

Likun Huang and Yuling Huang

Chapter 2 in Economic Management and Big Data Application:Proceedings of the 3rd International Conference, 2024, pp 18-25 from World Scientific Publishing Co. Pte. Ltd.

Abstract: With the rapid development of information technology, the enterprise human resource management system based on cloud computing provides a new solution for global enterprises. The main work of this paper includes the following: This paper points out that the traditional human resource system based on an enterprise’s main body has scattered data storage and limited sharing ability. However, under the current situation of the highly developed Internet, all industries can improve the efficiency of business processing based on the network platform. Using configurable data management technology to solve the problem that the basic information storage format of multi-enterprise employees is not uniform. The system can provide relevant functions of human resource management for enterprise users through the way of service, and the enterprise pays for the purchased services, so as to better solve the problems of high operation and maintenance costs, insufficient data processing capacity, and so on. Using XML-based configuration file management technology, according to the attendance regulations of different enterprises and departments, the attendance policy is set up to realize the flexible management of attendance. According to the correlation model between attendance and salary, the information integration technology of cloud computing platforms is adopted to realize the automation of salary processing. Based on the Map/Reduce parallel processing model, the statistical processing of massive data is realized. The enterprise human resource management system based on cloud computing can provide a complete human resource management solution for the majority of enterprises. Enterprises can only purchase services, saving a lot of development and maintenance costs, but also can customize the functions to better meet users’ needs.

Keywords: Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce (search for similar items in EconPapers)
JEL-codes: C63 C8 O14 (search for similar items in EconPapers)
Date: 2024
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