The evolution from information-based HRM to big data HRM

Abstract

Abstract The current research on big data human resource management is increasing, and this paper uses big data technology to analyze the research on the evolution from information-based human resource management to big data human resource management. Firstly, the idea of the evolution of enterprise human resource management is proposed by analyzing the current situation of human resource management and data decision making, combined with the requirements of the development of the big data era. Then the HR data model system is constructed by drawing on the world’s successful cases, and there are six modules in the system, and each module has the corresponding index analysis that needs to be solved. Finally, the empirical analysis of the company’s employee turnover using the gray correlation model, based on the data of the characteristics of the company’s leavers, set 12 evaluation indicators to facilitate the research analysis. The scores of environmental variables are in third place, with an average score of 0.4381, which indicates that personal environmental factors do not greatly influence employee turnover. The score of the individual variable is in second place with an average score of 0.4532, which indicates that the company has formed a better learning culture and employees are willing to put more effort into their work, and individual factors are not the most important reason for employees to leave. In this study, the mastery, understanding and, use of data have turned into a core driving force for companies to keep moving forward, and the guiding document also places new demands on the top management within the companies involved.