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International Journal of Research and Innovation in Social Science (IJRISS)

How Do Tunisian International Companies Identify Their Talent Pools?

byDr. Imen Zamit; Pr. Lassaad LAKHAL

Published December 9, 2025  •  Vol. 9, Issue 14, pp. 3030–3041Open Access
DOI: 10.47772/IJRISS.2025.914MG00232

Abstract

The present work aimed to explore the process for identifying talent pools within Tunisian companies to implement individual development plans, thereby reducing brain drain abroad. Despite the importance of this research topic for the labor market, it remains little explored by practitioners and theorists in the field of talent management. In response to this challenge, we conducted 45 semi-structured interviews with human resources professionals and talent pools from five international Tunisian companies specializing in IT (Sofrecom, Vermeg, and Leoni) and telecommunications (Orange Group and Ooredoo). The data were analyzed using NVivo 10 software based on thematic content analysis. The findings enabled us to present the characteristics of a talented employee and the talent management practices used by human resources managers to identify key individuals in the Tunisian context.

Keywords: Talent, performance, potential, competency, talent review

JournalInternational Journal of Research and Innovation in Social Science (IJRISS)
ISSN2454-6186
Volume / IssueVolume 9, Issue 14
Pages3030–3041
Publication dateDecember 9, 2025
DOI10.47772/IJRISS.2025.914MG00232
PublisherRSIS International
LicenseOpen Access

How to cite this article

Dr. Imen Zamit, & Pr. Lassaad LAKHAL (2025). How Do Tunisian International Companies Identify Their Talent Pools?. International Journal of Research and Innovation in Social Science (IJRISS), 9(14), 3030-3041. https://doi.org/10.47772/IJRISS.2025.914MG00232

BibTeX

@article{Dr2025,
  title   = {How Do Tunisian International Companies Identify Their Talent Pools?},
  author  = {Dr. Imen Zamit and Pr. Lassaad LAKHAL},
  journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
  volume  = {9},
  number  = {14},
  pages   = {3030--3041},
  year    = {2025},
  doi     = {10.47772/IJRISS.2025.914MG00232},
  publisher = {RSIS International}
}