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Les expériences des pays industrialisés dans la création de la richesse par le développement et la diversification de l’appareil productif, interrogent et suscitent un intérêt grandissant auprès des pays en voie de développement et émergents. Ces dernières décennies, plusieurs études, ont réussi à faire le rapprochement entre l’entrepreneuriat et l...
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... In multicriteria decision-making, the "partial aggregation" or "synthetic dominance" approach entails a certain degree of compromise with regard to result clarity, accommodating non-quantitative criteria and diverse units through pairwise comparisons. This approach is frequently used in a variety of decision-making contexts [35][36][37][38][39][40][41]. ...
... Additionally, different multicriteria aggregation methods exist, including one that includes all performances in an aggregation function, assuming commensurability and transitivity of judgments. However, this may oversimplify nuances [36]. Another method is TOPSIS, aiming to select the best alternative by evaluating the distance to the ideal and negative ideal alternatives [42]. ...
Natural risks comprise a whole range of disasters and dangers, requiring comprehensive management through advanced assessment, forecasting, and warning systems. Our specific focus is on landslides in difficult terrains. The evaluation of landslide risks employs sophisticated multicriteria models, such as the weighted sum GIS approach, which integrates qualitative parameters. Despite the challenges posed by the rugged terrain in Northern Algeria, it is paradoxically home to a dense population attracted by valuable hydro-agricultural resources. The goal of our research is to study landslide risks in these areas, particularly in the Mila region, with the aim of constructing a mathematical model that integrates both hazard and vulnerability considerations. This complex process identifies threats and their determining factors, including geomorphology and socio-economic conditions. We developed two algorithms, the analytic hierarchy process (AHP) and the fuzzy analytic hierarchy process (FAHP), to prioritize criteria and sub-criteria by assigning weights to them, aiming to find the optimal solution. By integrating multi-source data, including satellite images and in situ measurements, into a GIS and applying the two algorithms, we successfully generated landslide susceptibility maps. The FAHP method demonstrated a higher capacity to manage uncertainty and specialist assessment errors. Finally, a comparison between the developed risk map and the observed risk inventory map revealed a strong correlation between the thematic datasets.
... Existing literature sheds little light on the reasons and weakness of launched businesses (Amir and Bellache, 2018;Nafa et al., 2018). The objective of this research is to help overcome this deficiency in the literature by investigating the entrepreneurial intention (EI) of Algerian students. ...
... While this concept is widely used to measure entrepreneurship and business creation within a population or country (Kolvereid and Isaksen, 2006;Kautonen et al., 2011;Schlaegel and Koenig, 2014;Schmutzler et al., 2019), the knowledge of the factors influencing the EI of students in developing countries (Nabi and Liñán, 2013;Karimi et al., 2017) and, more specifically, in Algeria (St-Jean et al., 2014) remains poor. This is more pronounced in the availability of data on business creation by Algerian students, which is very scarce (Ben-Habib et al., 2014;Nafa et al., 2018). ...
... According to Piperopoulos and Dimov (2015) and Shirokova et al. (2016), ESE is a particularly robust factor in understanding EI, with high levels of ESE being positively associated with students' EI (Zhao et al., 2005). In Algeria, St-Jean et al. (2014) and Nafa et al. (2018) postulated that ESE is an important variable in shaping students' EI. Based on these arguments, we state the second hypothesis: ...
This article studies the entrepreneurial intention of Algerian students to explain the weakness in business creation in the country. Theoretical and empirical evidence on this subject is scarce, particularly among young Algerians. By combining two dominant research trends in the field of entrepreneurship, namely an approach based on contextual factors, and one based on individual characteristics, we examined the impact of perceived entrepreneurial climate and entrepreneurial self-efficacy on Algerian students’ entrepreneurial intentions. Our study, contextualized in the student environment, aims to analyze how entrepreneurship education moderated the relationship between entrepreneurial self-efficacy and entrepreneurial intention.
Based on a sample of 302 students, our survey yielded two important results. The first was the negative effect of perceived entrepreneurial climate on entrepreneurial intention. The second was that as a moderating factor, entrepreneurship education did not reinforce the significant direct influence of entrepreneurial self-efficacy on the intention to start a business among Algerian students. These insights may help improve the level of entrepreneurial intention within developing countries.
Natural risks encompass a range of disasters and dangers, requiring comprehensive management through assessments, anticipations, and advanced alert systems. Our specific focus is on landslides in challenging terrains. The evaluation of landslide risks employs sophisticated multicriteria models, such as the weighted sum approach, integrating qualitative parameters. Despite the challenges of the rugged terrain in Northern Algeria, it paradoxically hosts a dense population attracted by valuable hydro-agricultural resources. Our research is dedicated to studying landslide risks in these areas, particularly in the Mila region, with the aim of constructing a statistical model integrating considerations of both danger and vulnerability. This complex process identifies threats and their determining factors, including geomorphology and socio-economic conditions. The result is a valuable tool for effective risk management, strengthening safety and resilience against natural disasters. By understanding the intricate interplay of geological, environmental, and social elements, our research can contribute to the development of targeted interventions, fostering a more resilient community in the face of natural adversities.
