Optimization System Study of Human Resource Allocation in Digital Technology

Authors

  • Rui Guo

DOI:

https://doi.org/10.6981/FEM.202503_6(3).0005

Keywords:

Digital; Technology Human Resource; Allocation Management.

Abstract

The current traditional technology human resource management and allocation can no longer meet the requirements of high-quality development of technology and economy and society. This article integrates policy requirements, resource allocation theory, data science theory, incentive theory, and demand theory to construct an enterprise technology human resource allocation system. It proposes an optimized allocation path for technology human resources that combines digital technology, basic laws, and allocation systems, providing reference for high-quality allocation management of technology human resources.

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References

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Published

2025-03-13

Issue

Section

Articles

How to Cite

Guo, Rui. 2025. “Optimization System Study of Human Resource Allocation in Digital Technology”. Frontiers in Economics and Management 6 (3): 34-39. https://doi.org/10.6981/FEM.202503_6(3).0005.