Designing a model of recruitment and selection system with talent management approach: the case of Iranian national tax administration
by Roya Khayerzahed; Hadi Teimouri; Ali Shaemi Barzoki
International Journal of Applied Management Science (IJAMS), Vol. 13, No. 4, 2021

Abstract: This study aimed to explore the effects of recruitment and selection on talent management in Iranian National Tax Administration (INTA). This study employed a mixed methods design involving both qualitative and quantitative data collection and analysis. The qualitative data were gathered through thematic interviews. Using insights from 20 managers in this organisation and three academic experts, five broad levels of factors were identified for implementing talent management. These five dimensions included the organisation's macro policies and strategies, future attitude, merit orientation, value-orientation and comprehensiveness. In the quantitative stage, the impact of the recruitment and selection system on talent management implementation was examined. The quantitative data, in stratified random sampling, were gathered with questionnaires. The data were analysed using structural equation modelling in PLS software. The results of the quantitative phase indicated that the recruitment and selection system had a positive and significant impact on implementing talent management.

Online publication date: Mon, 20-Dec-2021

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