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Human Resource Cost Management and Organizational Performance System Optimization Strategies from the Perspective of Technological Innovation

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DOI: 10.25236/icfmhss.2024.096

Author(s)

Liangyong Ying

Corresponding Author

Liangyong Ying

Abstract

In the context of the big data era, the management of enterprises is undergoing unprecedented changes and challenges, while also being given unprecedented development opportunities. With the rapid advancement of information technology (IT) and network technology, human resource management (HRM), as a key part of enterprise strategic execution, has greatly improved and expanded its effectiveness and influence. The introduction of information technology HRM not only achieves a leap from traditional manual operation to intelligent and automated management, but also greatly improves management efficiency and accuracy, laying a solid foundation for the long-term development of enterprises. Through the application of advanced technologies such as big data, cloud computing, and artificial intelligence (AI), enterprises can achieve deep mining and analysis of human resource data, thereby more scientifically predicting talent demand, optimizing recruitment processes, accurately training and developing employees, and implementing efficient cost control strategies. This article focuses on human resource cost management and organizational performance optimization strategies from the perspective of technological innovation, aiming to explore how to use emerging technologies to reshape the human resource management system, achieve maximum cost-effectiveness, and continuously improve organizational performance.

Keywords

Technological innovation, human resources cost management, organizational performance, optimization strategies