Human resource management decision-Making in vocational colleges enabled by big data: Insights from data mining and analysis
Yufei Tian
City University Malaysia/Liming Vocational University
Raemah AbdullahHashim
City University Malaysia
DOI: https://doi.org/10.59429/bam.v7i2.10515
Keywords: Big data; Data mining and analysis; Vocational colleges; Human resource management decisions
Abstract
Human resources constitute a core competitive asset for vocational colleges.To attract and retain high-caliber personnel and ensure the sustainable development of these institutions, it is crucial to align human resource management (HRM) decisions with their specific contexts.The rapid development and widespread adoption of big data technology have facilitated notable advancements in HRM decision-making.By leveraging data mining and analysis, vocational colleges can effectively evaluate their human resource status and workforce needs, enabling more evidence-based and strategic HRM decisions that foster employee motivation, enhance job satisfaction, reduce staff turnover, and ultimately strengthen organizational competitiveness.However, many HRM departments within vocational colleges exhibit insufficient awareness and practical skills in applying big data, leading to inadequate and inaccurate analyses that compromise the validity of decision-making.This paper investigates HRM decision-making in vocational colleges through the lens of big data mining and analysis, with the aim of improving decision quality and promoting the sustainable development of these institutions.
References
[1]Gao Haixia(2020).Research on the Main Problems and Strategies of Human Resource Management in Vocational Colleges [J]. Economic Management Digest, 99-100.
[2]Li Hua, Zhang Xiaogang(2023). The value significance and realization path of data enabled-human resource management . Journal of Xidian University (Social Science Edition), 33(3), 41-45.
[3]Cheng Shiliang(2024).Discussion on the innovation of Human resource Management in the era of Big Data. Consumer Guide, 33-36.
[4]Zhang Lulu(2024). Data-driven Decision Analysis: The key to improving the effectiveness of human resource management. Fortune Life, 85-87.