Gray correlation analysis of strategic human resource management and corporate performance

被引:0
|
作者
Liu Y. [1 ]
Zhang H. [1 ]
机构
[1] School of Management Engineering and Business, Hebei University of Engineering, Hebei, Handan
关键词
Enterprise performance; Gray correlation analysis; Human resource management; Index system; Multiple linear regression;
D O I
10.2478/amns-2024-0980
中图分类号
学科分类号
摘要
In today’s competitive business landscape, effective human resource management (HRM) is pivotal for the growth and performance of enterprises. This study uses gray correlation and multiple regression analyses to investigate the connection between HRM practices and corporate performance. We developed an evaluative framework to assess the impact of strategic talent management on company outcomes. Survey data were analyzed to unveil the dynamics between HRM variables and corporate performance. Our findings highlight a significant relationship between employee recruitment, incentive programs, promotion pathways, and an innovative culture with corporate success, with p-values less than 0.01. Notably, stock options (0.354), bonus schemes (0.325), and promotion opportunities (0.331) show the strongest correlations. The gray correlation analysis further indicates that the HRM-performance linkage in three surveyed companies exceeds 0.7%, underscoring HRM’s vital role in enhancing enterprise performance. This research presents gray correlation analysis as an effective tool for businesses to evaluate the impact of their HRM strategies on performance. © 2023 Yuxuan Liu and Huiling Zhang, published by Sciendo.
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