International Journal of Research and Innovation in Social Science (IJRISS)
Talent Pool Attraction and Retention Strategies: Case of Tunisian International Companies
Published December 10, 2025 • Vol. 9, Issue 14, pp. 3054–3069Open Access
DOI: 10.47772/IJRISS.2025.914MG00234
Abstract
The present work aimed to explore new talent management practices that attract and retain internal and external talent to meet competition and increase business productivity. The theme and problem addressed in this research offer insights into aspects that have, to date, been little explored. In response to this issue, we conducted 45 semi-structured interviews with human resources managers and talent pools from five Tunisian international companies specializing in IT and telecommunications (Sofrecom, Vermeg, Leoni, Orange Group, and Ooredoo). The data were analyzed using NVivo 10 through a thematic content analysis approach. The findings could inform the development of effective support strategies for talent pools to maximize their potential and ultimately reinforce their retention.
Keywords: Innate talent, acquired talent, talent management practices
| Journal | International Journal of Research and Innovation in Social Science (IJRISS) |
|---|---|
| ISSN | 2454-6186 |
| Volume / Issue | Volume 9, Issue 14 |
| Pages | 3054–3069 |
| Publication date | December 10, 2025 |
| DOI | 10.47772/IJRISS.2025.914MG00234 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Dr. Imen Zamit, & Pr. Lassaad LAKHAL (2025). Talent Pool Attraction and Retention Strategies: Case of Tunisian International Companies. International Journal of Research and Innovation in Social Science (IJRISS), 9(14), 3054-3069. https://doi.org/10.47772/IJRISS.2025.914MG00234
BibTeX
@article{Dr2025,
title = {Talent Pool Attraction and Retention Strategies: Case of Tunisian International Companies},
author = {Dr. Imen Zamit and Pr. Lassaad LAKHAL},
journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
volume = {9},
number = {14},
pages = {3054--3069},
year = {2025},
doi = {10.47772/IJRISS.2025.914MG00234},
publisher = {RSIS International}
}