Abstract
With the rapid development of Internet, mobile Internet and cloud platform, the total amount of data generated by all aspects of society, especially enterprises, shows a trend of rapid growth, which makes big data have a direct impact on human resource management of enterprises, and brings new changes. How to effectively and successfully apply the concept of “big data” development to enterprise human resource management, and promote the innovation and leap of human resource management, has become the most concerned problem in the field of human resource of many enterprises, and has become the direction of our exploration, analysis and application research. This paper studies the impact of this technology on enterprises in the era of big data driven by literature research and case analysis. Through the research and investigation on the human resource management of several enterprises, the data and information of human resource management of several enterprises are obtained. For today's companies, they want to keep up with the times in human resource management, recruit high-quality talents, and continuously improve the comprehensive quality of talents in the follow-up talent management. Give full play to the enthusiasm and work potential of each employee in the company. After the experimental research and analysis of the human resource management model in the era of big data, it is concluded that in the current era, it is very necessary to use big data to drive human resource management.
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Acknowledgements
This work was supported by Project Fund from Jilin Planning Office of Philosophy and Social Science (Project Title: Research on construction of industrial workers under the strategy of one master and six pairs in Jilin Provincial. Contract No. 2020B088).
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Yu, H., Li, Y., Luo, Q. (2021). Development Trend of Enterprise Human Resource Management Driven by Big Data. In: Huang, C., Chan, YW., Yen, N. (eds) 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Advances in Intelligent Systems and Computing, vol 1379 . Springer, Singapore. https://doi.org/10.1007/978-981-16-1726-3_47
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DOI: https://doi.org/10.1007/978-981-16-1726-3_47
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