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Crafting Employee Engagement Through Talent Management Practices In Telecom Sector

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dc.contributor.author Akter, H.
dc.contributor.author Ahmed, W.
dc.contributor.author Sentosa, I.
dc.contributor.author Hizam, S.M.
dc.contributor.author UniKL BiS
dc.date.accessioned 2023-08-16T04:55:29Z
dc.date.available 2023-08-16T04:55:29Z
dc.date.issued 2022-01-31
dc.identifier.citation Akter, H., Ahmed, W., Sentosa, I., Hizam, S.M. (2022). Crafting employee engagement through talent management practices in telecom sector. SA Journal of Human Resource Management. 20. 10.4102/sajhrm.v20i0.1775. en_US
dc.identifier.issn 16837584
dc.identifier.uri http://hdl.handle.net/123456789/28473
dc.description This article index by Scopus en_US
dc.description.abstract Orientation: Solving the dearth of skilled employees and maintaining the engagement policy are key concerns of the Malaysian telecom sector. Therefore, talent management practices have created a mainstream process for telecom employers to be proactively involved in talent engagement. Research purpose: This study aimed to elucidate the vital talent management practices towards employee engagement in telecom sector, incorporating psychological empowerment as a mediator. Motivation for the study: Studies linking talent management with career development, rewards and recognition, training and development, are still not established in terms of employee engagement in the context of Malaysian telecom sector. Research design, approach and method: An online survey was conducted through the purposive sampling technique to collect data from telecom firms in Malaysia. The survey resulted in 242 responses, which were analysed through Partial Least Squares – Structural Equation Modelling (PLS-SEM) and PLS-Predict. In PLS-SEM, data were evaluated for hypothesis testing. After hypothesis result was obtained, the PLS-SEM model was assessed for its predictive validity through PLS-Predict. Main findings: The results explored that talent management factors positively and significantly predicted employee engagement through psychological empowerment, except training and development. The PLS-Predict resulted a higher value of predictive power for our model. Practical/managerial implications: This study may lead to practical applications to support human resource management practitioners towards comprehending the impact of talent management practices, either directly or indirectly, in engaging the right talent. Contribution/value-add: This study will fill the untapped area of improving employee engagement by adding psychological empowerment as a mediator between employee engagement and talent management practices. en_US
dc.publisher AOSIS OpenJournals Publishing AOSIS (Pty) Ltd en_US
dc.subject employee engagement en_US
dc.subject PLS-predict en_US
dc.subject PLS-SEM en_US
dc.subject psychological empowerment en_US
dc.subject social exchange theory en_US
dc.subject talent management practices en_US
dc.subject telecom sector en_US
dc.title Crafting Employee Engagement Through Talent Management Practices In Telecom Sector en_US
dc.type Article en_US


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