This paper describes the essential role of Knowledge Management (KM) in transforming Moroccan public administration, underlining the fusion of ethical leadership with the push for digital modernization. It showcases KM as a pivotal tool in dismantling bureaucratic barriers and facilitating digital transitions, thereby streamlining public service delivery. By analyzing existing KM frameworks relevant to the public sector, this research formulates a customized set of implementation guidelines tailored to the Moroccan context. These guidelines strategically integrate ethical governance with KM practices to overcome the unique challenges faced by the Moroccan public sector, aiming to enhance service efficiency, transparency, and responsiveness. The study progresses from reviewing significant KM literature to spotlighting key factors for successful KMS deployment, culminating in specific, actionable recommendations. This concise exploration contributes to the discourse on KM’s capacity to revolutionize public administration, providing a blueprint for future research and practical applications within Morocco and potentially other similar contexts.

Summary The context of our work falls within the context of social learning networks, particularly recommendation systems. A recommendation system generally consists of proposing objects and items that meet users' needs and expectations. Within social learning, recommendation systems are of paramount importance as they guide learners in their learning path and facilitate their interactions with learning platforms. However, most recommendation systems in online learning are limited to the use of explicit feedback received from learners. In addition to explicit feedback, the new generation of recommendation systems ought to promote implicit feedbacks and actions taken by the stakeholders. In this article, we propose a hybrid recommendation system integrating all the activities carried out by the learners and combining the two notions of correlation and co‐occurrence. After expounding our system, the evaluation is performed on a database outlining the interaction of employees with articles available within a Deskdrop platform. The results indicate that the performance of the hybrid approach (70%) exceeds the performance of the non‐hybrid recommendation system (30%), and that the hybrid system is more consistent in terms of performance as well.