薪酬激励对员工工作积极性的影响研究  

Research on Infl uence of Salary Incentives on Work Enthusiasm of Employees

作　　者：李季 杨蓉慧 Li Ji;Yang Ronghui

机构地区：[1]兰州财经大学工商管理学院

出　　处：《中国人事科学》2025年第2期72-84,共13页Chinese Personnel Science

摘　　要：文章基于微观调查数据,以员工薪酬激励满意度、员工个人价值为中介变量,采用乘积系数检验法进行探究。结果显示,员工积极性与薪酬激励之间具有双向关系;员工薪酬激励满意度在薪酬激励和员工工作积极性间起到正向中介作用;员工个人价值在薪酬激励和员工工作积极性间起到正向中介作用。在此基础上,使用机器学习算法,通过输入现有的员工薪酬的相关数值,模拟薪酬激励对员工工作积极性的影响机制并对未来的薪酬水平进行预测,找到最优的激励水平。建议企业建立动态的薪酬管理系统,利用数据科学推动管理转型,根据职业群体制定薪酬策略并结合其他非薪酬激励措施。Based on micro survey data,using employees’satisfaction with salary incentives and personal value as mediating variables,this paper adopts a product coeffi cient test method to explore.The results show that there is a bidirectional relationship between employees’enthusiasm and salary incentives;employees’satisfaction with salary incentives plays a positive mediating role between salary incentives and employees’work enthusiasm;employees’personal value plays a positive mediating role between salary incentives and employees’work enthusiasm.On this basis,a machine learning algorithm is used to simulate the infl uencing mechanism of salary incentives on employees’work enthusiasm by inputting relevant values of existing employees’salaries,predict future salary levels,and fi nd the optimal incentive level.It is recommended that enterprises establish a dynamic salary management system,use data science to promote management transformation,customize salary strategies based on occupational groups,and combine them with other non-salary incentive measures.

关 键 词：薪酬激励 员工薪酬激励满意度 员工个人价值 员工工作积极性 机器学习 

分 类 号：D6[政治法律—政治学] C96[政治法律—中外政治制度]