Abstract
Currently, there are several issues within human resource management in universities, such as mismatches between personnel and positions, challenges in quantifying performance evaluations, and the frequent departure of top talent. These problems are often linked to the underutilization of personnel archives. By integrating big data principles into the digitization of personnel archives at universities, we can enhance the "intelligent" aspects of human resource management and decision-making. This approach enables science-based management through digital quantification, fully leveraging the potential of university human resources. The article delves into the digitization of personnel archives using big data principles to address the challenges faced by university human resource departments and to foster the advancement and progress of various university initiatives.
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