The correlative factors of enterprise culture and enterprise human resource based on data analysis and federated learning

• Published in: Advances in continuous and discrete models Vol. 2024; no. 1; p. 38
• Main Author: Wang, Shichao
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 26.09.2024; Springer Nature B.V
• Subjects: Analysis; Big Data; Business indicators; Cloud computing; Construction; Corporate culture; Data analysis; Data mining; Difference and Functional Equations; Federated learning; Functional Analysis; Human resource management; Innovations in Data Science Research for Future Computing Era; Mathematics; Mathematics and Statistics; Optimization; Ordinary Differential Equations; Partial Differential Equations; Personnel selection; Policy analysis; Privacy; Public enterprise; Data analysis; Enterprise human resource management; Federated learning; Corporate culture construction; Competency model optimization
• ISSN: 2731-4235; 1687-1839; 2731-4235; 1687-1847
• DOI: 10.1186/s13662-024-03836-1

Under the current big topic of enterprise management, how to cultivate, use, and maintain talents is the critical problem of modern human resource management. Based on big data mining, cloud computing, and other related model optimization technologies, this study explores the crucial significance of enterprise culture construction and enterprise human resource management in achieving the business objectives of the entire enterprise. The establishment of this model also means that the enterprise’s profit margin and business indicators have been improved and developed under a certain model. The case results demonstrate that the optimized competency model is significant to studying corporate culture management system behavior, policy analysis, and improving corporate human resource management policies.