文章基本信息

标题：The Influence of Talent Management Practices on Job Satisfaction
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作者：Kamal M.Y. ; Lukman Z.M.
期刊名称：International Journal of Academic Research in Business and Social Sciences
电子版ISSN：2222-6990
出版年度：2017
卷号：7
期号：7
页码：859-864
DOI：10.6007/IJARBSS/v7-i7/3159
语种：English
出版社：Human Resource Management Academic Research Society
摘要：The implementation of Talent Management (TM) in the managerial system is unavoidable due to many potential talents has been streaming in either in the corporate or educational sector. Human resource department needs to evaluate and execute all the plans that might suits employees want and need in order to achieve their Job Satisfaction (JS). In the meantime, TM that consists of few practices, which are attracting, developing and retaining talents that need to be fully utilized as resulted to better performance of the organization. Therefore, the objective of the study was to find out the relationship between TM and JS in selected public universities in Malaysia which were, Universiti Sains Malaysia(USM), Universiti Pendidikan Sultan Idris (UPSI) and Universiti Teknologi Mara (UiTM). The quantitative method has been used to collect primary data from 238 respondents in selected public universities. Information obtained will be analyzed by using IBM Statistical Package Social Sciences (SPSS) and selected public universities will be represented as Universiti A, B, and C to avoid any further circumstances. As a result, there was a moderate relationship recorded between TM and JS. However, University A scored slightly higher correlation between TM and JS as compared to other two universities. Definitely, public university has their own mission and vision that needs to be achieved and different strategies might be used in TM in order to obtain a good relationship with JS. It shows that public university has taken their own initiative to boost their employee JS by using TM has one of the approaches but somehow, the strategies took still need to be monitored and re-structured to get the good relationship between these two variables.