工作动机和工作满意度对亚尔斯坤甸卫生学院员工绩效的影响

Tri Eny Yuniarti, Rizky Fauzan*, Nurul Komari, S. Sulistiowati
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引用次数: 0

摘要

本研究旨在分析工作满意度和工作动力对亚尔斯坤甸卫生科学学院(Stikes)员工绩效的影响。我们采用了解释性研究的定量方法作为研究方法。我们通过向 Stikes Yarsi Pontianak 的所有员工(其中包括 20 名讲师和 26 名教育工作者)发放问卷来收集数据,因此样本总数为 46 人。数据分析技术采用了结构方程模型(SEM),并通过 SmartPLS 4.0 版软件使用了偏最小二乘法(PLS)方法。研究结果表明405;(2)工作动机对 Stikes Yarsi Pontianak 公司员工的绩效有积极而显著的影响,t 统计值为 2.602 > 1.96,p 值为 0.010 < 0.050,路径系数为 0.540。这些研究结果表明,要提高员工绩效,坤甸 Stikes Yarsi 公司必须重视能够提高工作满意度和工作积极性的因素,如有利的工作环境、公平的报酬、职业发展机会、良好的人际关系、工作保障、任务的适宜性以及针对个人需求的激励方法。未来的研究应调查可能影响员工绩效的其他变量,利用更广泛的研究方法提供更全面的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Influence of Work Motivation and Job Satisfaction on the Performance of Employees at the Yarsi Pontianak Health College
This research aims to analyse the influence of job satisfaction and work motivation on the performance of employees at the Yarsi Pontianak College of Health Sciences (Stikes). We employ a quantitative approach with explanatory research as our research method. We collected data by distributing questionnaires to all employees of Stikes Yarsi Pontianak, which included 20 lecturers and 26 education staff, resulting in a total sample of 46 people. The data analysis technique uses structural equation modelling (SEM) with a partial least squares (PLS) approach via SmartPLS version 4.0 software. The research results show that: (1) Job satisfaction has a positive and significant effect on the performance of Stikes Yarsi Pontianak employees with a t-statistic value of 1.969 > 1.96, p-values 0.050 < 0.050, and a path coefficient of 0.405; (2) Work motivation has a positive and significant effect on the performance of Stikes Yarsi Pontianak employees with a t-statistic value of 2.602 > 1.96, p-values 0.010 < 0.050, and a path coefficient of 0.540. These findings imply that to improve employee performance, Stikes Yarsi Pontianak must pay attention to factors that can increase job satisfaction and work motivation, such as a conducive work environment, fair compensation, career development opportunities, good interpersonal relationships, job security, suitability for tasks, and motivational approaches tailored to individual needs. Future research should investigate additional variables that could impact employee performance, utilizing a wider range of research methods to provide a more comprehensive understanding.
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