基于作为员工满意度预测因素的心理结构的协同幸福感与公司业绩统计模型

Gabor Manuela Rozalia, Dimbean Camelia Angelica, Kardos Mihaela, Banacu Cristian Silviu
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引用次数: 0

摘要

.本研究的目的是利用统计模型证明,对于公司的经济业绩而言,除了经济资源、人力资本及其福利之外,通过心理结构衡量的心理舒适度和动力也很重要。在研究中,分析了两家来自该行业的公司、两批在社会人口特征和经济指标演变方面具有可比性的同质员工。结果表明,两家工业公司员工的个人满意度在统计学上具有显著的预测作用,对公司的经济业绩具有直接和可衡量的影响:两家公司的时间管理和职业倦怠,以及 F1 公司的薪酬满意度。从心理结构的角度解释了两家公司在员工人均流动率和净利润方面存在的统计意义上的显著差异。由此可见,心理结构在衡量和诊断员工以确保公司经济指标和人均收益率向上发展方面的重要性。
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Statistical Modelling for Synergic Well-Being and Company Performance Based on Psychological Constructs as Predictors of Employee Satisfaction
. The purpose of this research is to demonstrate, using statistical modelling, that for company economic performance, besides economic resources, human capital and its well-being, psychological comfort and motivation measured through psychological constructs are also important. For the research, two companies from the industry, two batches of employees, homogeneous, comparable in terms of the subjects’ socio-demographic characteristics and economic indicators evolution were analysed. The results indicate as good predictors, statistically significant, for the personal satisfaction of employees from the two industrial firms, with a direct and measurable effect on the economic performance of the company: time management and burnout for both companies and, for company F1, also salary satisfaction. The statistically significant differences between the two companies for the yield per employee for turnover and net profit are explained from the perspective of psychological constructs. Thus, the importance of psychological constructs in measuring and diagnosing employees to ensure an upward evolution of company economic indicators and yield per employee is demonstrated.
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来源期刊
Economic Computation and Economic Cybernetics Studies and Research
Economic Computation and Economic Cybernetics Studies and Research MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.80
自引率
22.20%
发文量
60
审稿时长
>12 weeks
期刊介绍: ECECSR is a refereed journal dedicated to publication of original articles in the fields of economic mathematical modeling, operations research, microeconomics, macroeconomics, mathematical programming, statistical analysis, game theory, artificial intelligence, and other topics from theoretical development to research on applied economic problems. Published by the Academy of Economic Studies in Bucharest, it is the leading journal in the field of economic modeling from Romania.
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