Cet article examine l’effet du contrôle familial sur la responsabilité sociale des entreprises (RSE) sur un échantillon de sociétés cotées en France. Suivant la perspective socio-émotionnelle et sur la base de régressions quantiles, nos résultats montrent que l’identité familiale et l’implication de la famille dans le capital et la gestion influencent positivement la performance RSE, en particulier pour les entreprises à faible engagement RSE. Les résultats montrent également que l’excès de contrôle familial (lorsque les droits de vote sont supérieurs aux droits financiers) impacte négativement la performance RSE. Cette dernière relation est cependant modérée par la taille du conseil d’administration et la diversité de genre.

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Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.
YUAN Zhe - EMLV |
- Recherche
- Logistique et Supply Chain, Transformation Digitale