1,720,956 research outputs found
L’Impact de l’Intelligence Artificielle sur la Gestion des Administrations Publiques
No full textThe integration of Artificial Intelligence (AI) into public administrations has become a major driver of modernization, rationalization, and performance improvement in the public sector. This theoretical article analyzes the main effects of AI on public management through an extensive narrative review of recent scientific and institutional literature. The findings indicate that AI enhances operational efficiency, reduces administrative costs, automates key processes, and strengthens transparency and traceability within public organizations. The study also highlights the growing importance of AI-based governance tools, such as predictive analytics, decision-support systems, and conversational agents designed to improve citizen engagement. However, this transformation comes with significant challenges, including ethical risks, algorithmic biases, data protection concerns, and potential technological dependency. It also requires a profound reconfiguration of the skills and roles of public servants. This article contributes to theoretical debates on digital governance by proposing a multidimensional analytical framework that explains how AI simultaneously affects performance, governance, and operational effectiveness in public administrations. Lastly, it offers policy recommendations and suggests future research avenues focused on empirically assessing AI’s impact in diverse administrative contexts.
JEL Classification: H83, M4
Paper type: Theoretical Research L'utilisation de l'intelligence artificielle (IA) dans l'administration publique est, désormais, un facteur de modernisation, de désenchaînement et d'optimisation de la performance dans le secteur public. Cet article théorique, fondé sur une revue narrative de la littérature scientifique et institutionnelle, propose un aperçu des impacts de l'IA dans la gestion administrative. Les résultats montrent que l'IA améliore l'efficacité opérationnelle, la réduction de la perte, l'auto-optimisation des processus, ainsi que la transparisation et la traçabilité des processus.
L'analyse souligne également l'importance croissante de l'IA dans les outils de gouvernance à travers l'analyse prédictive, les systèmes d'aide à la décision et les chatbots conçus pour améliorer l'engagement des utilisateurs. En même temps, cependant, cette transformation est semée de risques éthiques, de biais algorithmiques, de défis en matière de confidentialité des données et de risques de dépendance technologique. Elle appelle également à une transformation substantielle des compétences des agents publics.
L'article élargit les discussions théoriques sur la gouvernance numérique en introduisant un cadre d'analyse multidimensionnel, permettant de comprendre comment l'IA façonne simultanément la performance, la gouvernance et l'efficacité dans les administrations publiques. Enfin, il éclaircit certaines recommandations destinées aux décideurs publics ainsi que des perspectives de recherche académique, notamment en matière d’analyses empiriques futures, liées à l'évaluation de l'IA dans divers contextes administratifs.
Classification JEL : H83, M4Type de papier : Article théoriqu
La Gouvernance Financière des Collectivités Territoriales à l’ère de la régionalisation avancée
No full textThe financial governance of territorial collectivities in the era of advanced regionalization was started in 1960 by the implementation of the first municipal charter and then progressively developed until 2015 by the project of advanced regionalization, which represents a quantum leap and form of modernization in favor of territorial collectivities.
As regionalization advances, and in order to have rigid and autonomous territorial collectivities and engage in the process of global economic integration, the state has transferred the context marked by the evolution of resources and competences, the territorial collectivities' major concern is to apply good governance in order to protect and preserve their public heritage. This new concept (financial governance) aims to make the territorial collectivities efficient and the posse to adopt new modes of management and to mobilize all the actors of superior control in the management of the latter. This article presents the concept of financial governance within territorial collectivities in the era of advanced regionalization, as well as the mechanisms and higher bodies involved.
JEL Classification: H83, M4
Paper type: Theoretical Research Depuis l’abus de l’indépendance, le Maroc a déclenché une nouvelle facette de modernisation au niveau de son territoire appelé la décentralisation. En effet la trajectoire de décentralisation a été débuter en 1960 par la mise en place de la première charte communale puis progressivement développée jusqu’ à 2015 marqué par le projet de la régionalisation avancée qui représente une saute quantique et forme de modernisation en faveur des collectivités territoriales.
À l’instar de la régionalisation avancée et en vue d’avoir des collectivités territoriales rigide et autonome et engager dans le processus d’intégration économique mondiale, l’État a transfert des compétences et accroitre le nombre des ressources envers ses collectivités. Dans ce contexte marqué par l’évolution des ressources et des compétences les collectivités territoriales ont pour défi et souci majeur d’appliquer la bonne gouvernance afin de protéger et préserver le patrimoine et les derniers publics. Cette nouvelle conception (gouvernance financière) vise à rendre les collectivités territoriales performantes et les posses à adopter des nouvelles modes de gestion et mobiliser l’ensemble des acteurs de contrôle supérieurs dans la gestion de cette dernière. Cet article présente le concept de la gouvernance financière au sein des collectivités territoriales à l’ère de la régionalisation avancée, ainsi que les mécanismes et les organes supérieurs impliqués.
Classification JEL : H83, M4
Type de l’article : Article théorique
L’Impact de l’Intelligence Artificielle sur la Gestion des Administrations Publiques
No full textThe integration of Artificial Intelligence (AI) into public administrations has become a major driver of modernization, rationalization, and performance improvement in the public sector. This theoretical article analyzes the main effects of AI on public management through an extensive narrative review of recent scientific and institutional literature. The findings indicate that AI enhances operational efficiency, reduces administrative costs, automates key processes, and strengthens transparency and traceability within public organizations. The study also highlights the growing importance of AI-based governance tools, such as predictive analytics, decision-support systems, and conversational agents designed to improve citizen engagement. However, this transformation comes with significant challenges, including ethical risks, algorithmic biases, data protection concerns, and potential technological dependency. It also requires a profound reconfiguration of the skills and roles of public servants. This article contributes to theoretical debates on digital governance by proposing a multidimensional analytical framework that explains how AI simultaneously affects performance, governance, and operational effectiveness in public administrations. Lastly, it offers policy recommendations and suggests future research avenues focused on empirically assessing AI’s impact in diverse administrative contexts.
JEL Classification: H83, M4
Paper type: Theoretical Research L'utilisation de l'intelligence artificielle (IA) dans l'administration publique est, désormais, un facteur de modernisation, de désenchaînement et d'optimisation de la performance dans le secteur public. Cet article théorique, fondé sur une revue narrative de la littérature scientifique et institutionnelle, propose un aperçu des impacts de l'IA dans la gestion administrative. Les résultats montrent que l'IA améliore l'efficacité opérationnelle, la réduction de la perte, l'auto-optimisation des processus, ainsi que la transparisation et la traçabilité des processus.
L'analyse souligne également l'importance croissante de l'IA dans les outils de gouvernance à travers l'analyse prédictive, les systèmes d'aide à la décision et les chatbots conçus pour améliorer l'engagement des utilisateurs. En même temps, cependant, cette transformation est semée de risques éthiques, de biais algorithmiques, de défis en matière de confidentialité des données et de risques de dépendance technologique. Elle appelle également à une transformation substantielle des compétences des agents publics.
L'article élargit les discussions théoriques sur la gouvernance numérique en introduisant un cadre d'analyse multidimensionnel, permettant de comprendre comment l'IA façonne simultanément la performance, la gouvernance et l'efficacité dans les administrations publiques. Enfin, il éclaircit certaines recommandations destinées aux décideurs publics ainsi que des perspectives de recherche académique, notamment en matière d’analyses empiriques futures, liées à l'évaluation de l'IA dans divers contextes administratifs.
Classification JEL : H83, M4Type de papier : Article théoriqu
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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