Innovation of Enterprise Human Resource Management under the Background of Digital Transformation
Abstract
In the context of rapid digital technology iteration, enterprise human resource management is undergoing a profound transformation
from traditional models to intelligent and data-driven approaches. This article focuses on how digital transformation drives human resource
management, systematically analyzing innovative pathways such as data-driven management, intelligent recruitment, online training systems,
dynamic performance evaluations, and flexible work models. It explores how the application of technology enhances management efficiency,
decision-making science, and organizational effectiveness, providing theoretical and practical references for enterprises to build a human resource management system adapted to the digital age.
from traditional models to intelligent and data-driven approaches. This article focuses on how digital transformation drives human resource
management, systematically analyzing innovative pathways such as data-driven management, intelligent recruitment, online training systems,
dynamic performance evaluations, and flexible work models. It explores how the application of technology enhances management efficiency,
decision-making science, and organizational effectiveness, providing theoretical and practical references for enterprises to build a human resource management system adapted to the digital age.
Keywords
Digital transformation; Human resource management; Management innovation
Full Text:
PDFReferences
[1] Zhang Lei. Innovation of Human Resource Management under the Background of Digital Transformation [J]. Human Resources, 2025
(04):42-43.
[2] Zhuang Bing. Innovative Paths of Human Resource Management under the Background of Digital Transformation [J]. National Circulation Economy, 2025 (09):189-192.
[3] Li Ye. Innovative Practices of Human Resource Management under the Background of Digital Transformation [J]. Rural Electricity
Management, 2025 (04):25-26.
DOI: http://dx.doi.org/10.70711/aitr.v2i10.7152
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