知识型人力资源管理实践对知识型员工生产力的影响:马来西亚大学的研究

Leong Kai Sheng, S. M. H. S. Khairuddin, Shehnaz Tehseen, Yeong Hui Yan
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引用次数: 1

摘要

知识工作者对国家的发展做出了重大贡献。各种各样的研究都广泛地认识到知识型人力资源管理实践对知识工作者生产力的积极影响。虽然有关于不同国家和行业的知识型人力资源管理实践的研究,但是,关于知识型人力资源管理实践对大学知识工作者的影响的研究却很少。因此,本研究的目的是通过分析各种基于知识的人力资源管理实践对大学知识工作者生产力的影响来填补这一空白。本研究调查了人力资源管理实践,即知识型招聘实践、知识型培训与发展实践、知识型绩效考核实践和知识型薪酬实践对知识型员工生产力质量和数量的影响。赫茨伯格的双因素理论、期望理论和麦格雷戈的X理论和Y理论被用作支持提出的概念模型的基础理论。根据提出的研究模型提出了8个假设,并使用标准仪器获取数据。采用非概率抽样法,在雪兰莪州和吉隆坡共有129名知识工作者参与了调查。数据是在样本人口的一个时间点收集的。使用SPSS和偏最小二乘结构方程模型(PLS-SEM)对获得的数据进行评估。结果表明,知识型招聘实践和知识型薪酬实践对知识型员工生产力的质量和数量都有显著的正向影响。知识培训与开发实践对知识员工生产力的数量有显著的正向影响,但对知识员工生产力的质量没有显著的正向影响。此外,基于知识的绩效评估对知识员工生产力的质量和数量没有显著的正向影响。
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 Knowledge-Based HRM Practices on Productivity of Knowledge Workers: A Study on Malaysian Universities
Knowledge workers have contributed significantly to the development of nations. There are various researches that extensively recognized the positive impact of knowledge-based HRM practices on knowledge worker's productivity. While there are studies regarding knowledge-based HRM practices across different countries and industries, however, there is dearth of research regarding the impact of knowledge-based HRM practices on universities' knowledge workers. Therefore, the aim of this current study was to fill up the gap by analysing the influence of various knowledge-based HRM practices on the productivity of knowledge workers in universities. This study investigated HRM practices namely knowledge-based recruiting practices, knowledge-based training and development practices, knowledge-based performance appraisal practices and knowledge-based compensation practices on the quality and quantity of the productivity of knowledge workers. Herzberg's Two-Factor Theory, Expectancy Theory, and MacGregor's Theory X and Theory Y were used as underpinning theories to support the proposed conceptual model. Eight hypotheses were developed based on the proposed research model and standard instrument was used to obtain data. By employing non-probability sampling method, a total of 129 knowledge workers in Selangor and Kuala Lumpur participated in survey. The data were collected at one point of time across the sample population. The data obtained were assessed using SPSS and Partial Least Square Structural Equation Modelling (PLS-SEM). Results revealed the positive and significant influence of knowledge-based recruiting practices and knowledge-based compensation practices on quality and quantity of knowledge workers' productivity. Knowledge-based training and development practices were found to have their positive and significant impact on quantity of knowledge workers' productivity but not on quality of knowledge workers' productivity. Additionally, knowledge-based performance appraisal was not found to have its positive as well as significant impact on quality and quantity of knowledge worker's productivity.
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