3 research outputs found
The Financial Autonomy of Regions in Morocco and Territorial Economic Development: The Case of the Souss Massa (SM) Region
No full text
Le financement des collectivités territoriales est la clé de voûte du succès du processus de la décentralisation. En effet, l’autonomie financière de la collectivité garantit la concrétisation des principes de la libre administration et de la subsidiarité, sans lesquels la décentralisation n’aboutirait point à ses fins de développement territorial global et intégré.
Le financement des régions au Maroc est fondé sur les ressources transférées par l’Etat, les ressources propres en plus des emprunts. La consistance et la composition de ces financements renseignent sur l’autonomie financière des régions et leur capacité d’investissement, et par conséquent sur leur contribution au développement économique régional.
Cette contribution a pour objet d’étudier la situation financière des régions, et du coup, leur autonomie financière, et d’évaluer l’impact sur le rôle présumé de la région en tant que locomotive du développement économique régional.The financing of local authorities is the cornerstone of the success of decentralization process. In fact, the financial autonomy of communities guarantees the realization of free administration and subsidiarity principles, without it, decentralization would not realize its aims of integrated territorial development.
The financing of the regions in Morocco is based on resources transferred by the State, its own resources and borrowing. The consistency and composition of these funding provide information on the financial autonomy of the regions and their investment capacity, and consequently on their contribution to regional economic development.
The purpose of this contribution is to study the financial situation of regions, their financial autonomy, and to assess the impact on the alleged role of the region as a locomotive for regional economic development
A Systematic Review of the Impact of Digital Technologies and Artificial Intelligence on Entrepreneurial Intent: Dynamics and Implications for Digital Entrepreneurship
No full textCet article explore l’impact croissant de l’intelligence artificielle (IA) sur l’entrepreneuriat numérique et l’intention entrepreneuriale, en abordant les défis contemporains tout en mettant en lumière son rôle transformateur dans la création d’innovations et d’opportunités d’affaires. Il s’agit d’une revue systématique de la littérature qui analyse les recherches existantes sur l’intégration de l’IA dans l’entrepreneuriat, en s’appuyant sur des études majeures pour identifier les tendances actuelles et futures. Quatre questions principales orientent l’analyse : la relation entre l’entrepreneuriat numérique, l’intention entrepreneuriale et l’IA ; l’influence des technologies numériques sur les intentions entrepreneuriales ; comment l’IA soutient l’entrepreneuriat numérique et la création d’entreprises ; et les lacunes dans les cadres de recherche concernant l’impact des technologies numériques sur l’entrepreneuriat.
L’étude s’appuie sur une revue systématique de la littérature, en sélectionnant des travaux de chercheurs reconnus dans la base de données Scopus, couvrant la période de 1986 à 2024. La méthodologie suit une approche structurée pour collecter et analyser les données issues des études sélectionnées. L’article commence par une introduction au sujet, détaille la méthodologie, puis résume et analyse les principaux résultats de la littérature examinée. Il explore la relation complexe entre l’entrepreneuriat numérique, l’intention entrepreneuriale et l’IA, en mettant en évidence le rôle de l’IA dans la transformation des processus entrepreneuriaux. Les résultats soulignent la nécessité d’une approche éthique et réfléchie pour intégrer l’IA dans l’entrepreneuriat, en reconnaissant son immense potentiel tout en traitant les lacunes de la recherche et les considérations éthiques.This article explores the growing impact of Artificial Intelligence (AI) on digital entrepreneurship and entrepreneurial intention, addressing contemporary challenges while highlighting its transformative role in fostering innovations and business opportunities. It is a systematic literature review that examines existing research on the integration of AI in entrepreneurship, drawing on major studies to identify current and future trends. The analysis is guided by four main questions: the relationship between digital entrepreneurship, entrepreneurial intention, and AI; the influence of digital technologies on entrepreneurial intentions; how AI supports digital entrepreneurship and business creation; and the gaps in research frameworks regarding the impact of digital technologies on entrepreneurship.
The study is based on a systematic literature review, selecting works by recognized researchers from the Scopus database, covering the period from 1986 to 2024. The methodology follows a structured approach to collect and analyze data from the selected studies. The article begins with an introduction to the topic, details the methodology, and then summarizes and analyzes the main findings of the reviewed literature. It explores the complex relationship between digital entrepreneurship, entrepreneurial intention, and AI, emphasizing AI\u27s role in transforming entrepreneurial processes. The findings highlight the need for an ethical and thoughtful approach to integrating AI into entrepreneurship, recognizing its immense potential while addressing research gaps and ethical considerations
Deep Brain Stimulation in Moroccan Patients With Parkinson's Disease: The Experience of Neurology Department of Rabat
No full textIntroduction: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is known as a therapy of choice of advanced Parkinson's disease. The present study aimed to assess the beneficial and side effects of STN DBS in Moroccan Parkinsonian patients.Material and Methods: Thirty five patients underwent bilateral STN DBS from 2008 to 2016 in the Rabat University Hospital. Patients were assessed preoperatively and followed up for 6 to 12 months using the Unified Parkinson's Disease Rating Scale in four conditions (stimulation OFF and ON and medication OFF and ON), the levodopa-equivalent daily dose (LEDD), dyskinesia and fluctuation scores and PDQ39 scale for quality of life (QOL). Postoperative side effects were also recorded.Results: The mean age at disease onset was 42.31 ± 7.29 years [28–58] and the mean age at surgery was 54.66 ± 8.51 years [34–70]. The median disease duration was 11.95 ± 4.28 years [5–22]. Sixty-three percentage of patients were male. 11.4% of patients were tremor dominant while 45.71 showed akinetic-rigid form and 42.90 were classified as mixed phenotype. The LEDD before surgery was 1200 mg/day [800-1500]. All patients had motor fluctuations whereas non-motor fluctuations were present in 61.80% of cases. STN DBS decreased the LEDD by 51.72%, as the mean LEDD post-surgery was 450 [188-800]. The UPDRS-III was improved by 52.27%, dyskinesia score by 66.70% and motor fluctuations by 50%, whereas QOL improved by 27.12%. Post-operative side effects were hypophonia (2 cases), infection (3 cases), and pneumocephalus (2 cases).Conclusion: Our results showed that STN DBS is an effective treatment in Moroccan Parkinsonian patients leading to a major improvement of the most disabling symptoms (dyskinesia, motor fluctuation) and a better QOL
