Study of Enterprise Human Resource Management Strategy Based on Hybrid Deep Learning Models

Journal of Logistics Informatics and Service Science · 2024

With the rapid development of artificial intelligence technology, enterprise management is gradually moving towards the era of intelligence.Human resource management, as one of the important areas of the enterprise, is also in urgent need of integrating AI to enhance efficiency, accurately match talent, and improve employee experience.This study aims to deeply explore the application of AI technology in enterprise human resource management and the possibility of optimizing human resource management strategies by constructing hybrid deep learning models.By analyzing the current situation in the field of AI technology and enterprise management, the current problems and bottlenecks in human resource management are excavated.Subsequently, an enterprise human resource management strategy based on a hybrid deep learning model is proposed to improve human resource allocation efficiency and employee performance through data-driven and intelligent decision-making.The study demonstrates the potential of the model in optimizing enterprise management, improving work efficiency and employee satisfaction through theoretical analysis and empirical research.This study constructs a hybrid deep learning model to provide theoretical support for enterprises to formulate intelligent management strategies and to promote the development of enterprises towards intelligent, efficient and humanized human resource management.

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