Inequalities in Access and Usage of Recruitment Platforms According to Qualification Level and Professional Experience: Evidence Based on Multi-agent Simulation Approaches

Abstract Book of the 10th International Conference on Applied Research in Management, Business and Economics

Year: 2025

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Inequalities in Access and Usage of Recruitment Platforms According to Qualification Level and Professional Experience: Evidence Based on Multi-agent Simulation Approaches

Anas ZIDANE

ABSTRACT:

Labor market intermediation in Morocco has undergone a structural digital trans- formation since the mid-2010s. However, persistent mismatches between job offers and seekers raise concerns over systemic inefficiencies, especially in the private sector. This study proposes empirically tests an intelligent agent-based matching model designed to capture frictions in the Moroccan labor market, with a focus on platform-driven inter- mediation and competence-based inequalities. The model extends the classical Morten- sen–Pissarides framework by integrating digital access proxies, qualification adequacy indices, and learning-based behavior. Data sources include national employment statis- tics from the Haut-Commissariat au Plan (HCP), recruitment figures from ANAPEC, and panel series extracted from major platforms (ReKrute, Emploi.ma, LinkedIn, In- deed) between 2015 and 2024. The estimation uses nonlinear least squares and panel regression techniques, with robustness checks. A heatmap visualization and a 3D mat- ching surface are used to illustrate the nonlinear effects of tightness and human capital. This paper shows also that platform inequalities persist and even amplify exclusion for low-qualified and geographically peripheral populations. Targeted public policy is needed to align digital infrastructures with inclusive labor strategies.

Keywords: Matching Model; Digital Labor Platforms; Labor Market Frictions; Morocco; Competence Mismatch; Smart Intermediation; Agent-Based Estimation.