Academic Journal of Business & Management, 2025, 7(4); doi: 10.25236/AJBM.2025.070430.
Xiaoyan He
Haojing College of Shaanxi University of Science and Technology, Xi’an, Shaanxi, China
In the era of digital economy, enterprises are experiencing an explosion of data resources. This change has not only reshaped the market landscape but also posed new challenges and opportunities for human resource management (HRM). Traditional HRM models, relying on experience and qualitative analysis, struggle to cope with the "information overload" and "decision-making defocus" caused by massive heterogeneous data. Therefore, transforming these data into decision-driving factors has become a core proposition in modern management practice. This paper discusses how data mining technology, with its powerful data processing and analysis capabilities, serves as a key driver for HRM transformation. It delves into the dilemmas of traditional HRM, the applications of data mining technology in HRM, the transformation driven by this technology, challenges faced, and future directions. Moreover, it emphasizes the necessity of educational innovation in cultivating composite talents who understand both algorithmic logic and management practice.
Big Data; Data Mining Technology; Human Resource Management; Educational Innovation; Decision-Making Rationality
Xiaoyan He. Big Data-Driven Transformation in Human Resource Management: Empowerment Paths of Data Mining Technology and Educational Innovation. Academic Journal of Business & Management (2025), Vol. 7, Issue 4: 241-245. https://doi.org/10.25236/AJBM.2025.070430.
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