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.