9 research outputs found
Diversité de l’équipe de direction et orientation entrepreneuriale dans l’entreprise familiale Proposition d’un modèle théorique
No full textCet article s’attache à comprendre le lien entre la diversité de l’équipe de direction de l’entreprise familiale et son orientation entrepreneuriale. Notre propos dans cette contribution est d’analyser l’apport des dirigeants familiaux, appartenant à des générations différentes, au développement de l’orientation entrepreneuriale de ces entreprises. Il s’agit ici d’une thématique pertinente car elle examine comment l’orientation entrepreneuriale est affectée par l’engagement de l’équipe de direction dans une entité spécifique qui est l’entreprise familiale. En fait, les dirigeants de ces entreprises qui, bien que étroitement liés par des liens de sang, diffèrent par leurs connaissances et leurs perspectives, et ce en fonction de la génération familiale à laquelle ils appartiennent. Notre analyse théorique montre que la diversité des générations des dirigeants engagés envers le management présente non seulement des avantages d’ordre cognitif (diversité des connaissances) mais également des obstacles d’ordre relationnels (conflits relationnels) pouvant entraver le développement de l’orientation entrepreneuriale
Supply Chain Management Practices in Response to Ecosystem Challenges – Literature Review
No full textIn recent years, there has been a widespread awareness of issues affecting the ecosystem, such as climate change. It is in fact a universal reality that affects human life, business activities, and the environment. In this context, companies are required to master operations in a dynamic and risky ecosystem where logistics play a very important role in meeting sustainable development objectives. More specifically, optimizing supply chain performance requires the implementation of various green practices, which leads managers to rethink their decision-making processes related to supply chain management in order to reduce carbon emissions and improve their overall performance (Wang and Sarkis, 2013). This study is therefore a direct continuation of work focusing on sustainable supply chain management. This type of management is now an obligation rather than a choice in the era of climate change, which has major implications in terms of strategic and operational planning. It therefore seems relevant to address the following question: “What supply chain management practices can be adopted to address the challenges of climate change?” The objective of this article is to identify best practices in supply chain management and their impact on the environment and overall performance. Our research methodology consists of a theoretical study based on an analysis of work carried out in this field, the identification of green SCM practices that should be adopted by companies, and an analysis of their impact on overall performance
Supply Chain Management Practices in Response to Ecosystem Challenges – A Narrative Literature Review
No full textIn recent years, there has been a widespread awareness of issues affecting the ecosystem, such as climate change. It is, in fact, a universal reality that affects human life, business activities, and the environment. In this context, companies are required to master the functioning of a dynamic and risky ecosystem where logistics play a very important role in meeting sustainable development objectives. Purpose: The objective of this article is to identify the main supply chain management practices that enable companies to address the challenges of the ecosystem and their impact on the environment and global performance, with a focus on the implications of climate change. This research aims to analyze the impact of these practices on business performance. Methodology: This research adopts a narrative review of the literature based on scientific databases, using a search equation incorporating keywords. Articles were selected according to clearly defined inclusion and exclusion criteria to ensure the relevance and quality of the work analyzed. Results: The results show that adopting green practices in the supply chain, such as responsible sourcing, flow optimization, and the use of sustainable technologies, enables companies to respond to ecosystem challenges, better cope with the risks posed by climate change, and improve global performance. Implications: This study offers a comprehensive and up-to-date overview for researchers wishing to further explore the link between green supply chain practices and adaptation to ecosystem challenges. The results highlight the importance for companies to quickly adopt sustainable practices in order to preserve the ecosystem, strengthen their resilience, and contribute to the transition to more responsible supply chains. Originality/value: This review provides an integrated view of the supply chain practices used to respond to the challenges of climate change. It highlights their role in improving environmental performance and offers ideas for sustainable logistics management in a changing ecosystem
Supply Chain Management Practices in Response to Ecosystem Challenges – Literature Review
No full textIn recent years, there has been a widespread awareness of issues affecting the ecosystem, such as climate change. It is in fact a universal reality that affects human life, business activities, and the environment. In this context, companies are required to master operations in a dynamic and risky ecosystem where logistics play a very important role in meeting sustainable development objectives. More specifically, optimizing supply chain performance requires the implementation of various green practices, which leads managers to rethink their decision-making processes related to supply chain management in order to reduce carbon emissions and improve their overall performance (Wang and Sarkis, 2013). This study is therefore a direct continuation of work focusing on sustainable supply chain management. This type of management is now an obligation rather than a choice in the era of climate change, which has major implications in terms of strategic and operational planning. It therefore seems relevant to address the following question: “What supply chain management practices can be adopted to address the challenges of climate change?” The objective of this article is to identify best practices in supply chain management and their impact on the environment and overall performance. Our research methodology consists of a theoretical study based on an analysis of work carried out in this field, the identification of green SCM practices that should be adopted by companies, and an analysis of their impact on overall performance
Normalisation et gouvernance de l’intelligence artificielle dans une perspective marocaine : enjeux de conformité dans la gestion des ressources humaines
No full textThis article examines the standardization of artificial intelligence (AI) as a strategic lever for ethical governance, compliance, and organizational performance. It highlights the convergence of international frameworks while emphasizing the challenges associated with contextualizing them in emerging countries. The study is based on an integrative literature review that combines three key dimensions: AI standardization, governance, and human resource management (HRM), drawing on recent international standards and frameworks, national strategic visions, and institutional structures, as well as academic work on algorithmic governance and the transformation of the HR function in the age of AI.
The main contribution of this research lies in mapping international AI normative frameworks and analyzing their translation into the Moroccan context through the lens of adaptive standardization, a key concept that refers to a state's ability to align global standards with its institutional, economic, and cultural specificities. The study shows that this adaptive standardization, supported by institutions and organizational structures, represents a strategic pathway for establishing responsible governance and sustainable competitiveness.
It further emphasizes that the success of this process depends on workforce upskilling and dissemination of an organizational culture rooted in transparency and human oversight. Thus, AI standardization is not limited to a technical requirement; it functions as a tool of adaptive governance that supports the transformation of human resource management and reinforces trust within organizations.
Classification JEL: M15
Paper type: Integrative ReviewCet article analyse la normalisation de l’intelligence artificielle (IA) comme un levier stratégique de gouvernance éthique, de conformité et de performance organisationnelle. Il met en lumière la convergence des cadres internationaux tout en soulignant les défis liés à leur contextualisation dans les pays émergents. Cet article repose sur une revue intégrative de la littérature, qui vise à combiner trois dimensions clés : Normalisation IA, Gouvernance et GRH, en mobilisant les normes et cadres internationaux récents, la vision stratégique et les structures nationales, ainsi que les travaux académiques portant sur la gouvernance algorithmique et la transformation de la fonction RH à l’ère de l’IA. La contribution principale de cette recherche consiste à cartographier les cadres normatifs internationaux de l’IA et à examiner leur transposition au Maroc à travers le prisme de la normalisation adaptative, concept clé qui désigne la capacité d’un État à articuler les standards mondiaux avec ses spécificités institutionnelles, économiques et culturelles. L’étude démontre que cette normalisation adaptative, portée par des institutions et des structures, représente une voie stratégique pour instaurer une gouvernance responsable et une compétitivité durable. Elle souligne que la réussite du processus dépend de la montée en compétences des collaborateurs, de la diffusion d’une culture organisationnelle fondée sur la transparence et sur la supervision humaine. Ainsi, la normalisation de l’IA ne se réduit pas à une exigence technique, mais constitue un outil de gouvernance adaptative, soutenant la transformation du management des ressources humaines et la consolidation de la confiance dans les organisations.
JEL Classification : M15
Type du papier : Revue intégrativ
Normalisation et gouvernance de l’intelligence artificielle dans une perspective marocaine : enjeux de conformité dans la gestion des ressources humaines
No full textThis article examines the standardization of artificial intelligence (AI) as a strategic lever for ethical governance, compliance, and organizational performance. It highlights the convergence of international frameworks while emphasizing the challenges associated with contextualizing them in emerging countries. The study is based on an integrative literature review that combines three key dimensions: AI standardization, governance, and human resource management (HRM), drawing on recent international standards and frameworks, national strategic visions, and institutional structures, as well as academic work on algorithmic governance and the transformation of the HR function in the age of AI.
The main contribution of this research lies in mapping international AI normative frameworks and analyzing their translation into the Moroccan context through the lens of adaptive standardization, a key concept that refers to a state's ability to align global standards with its institutional, economic, and cultural specificities. The study shows that this adaptive standardization, supported by institutions and organizational structures, represents a strategic pathway for establishing responsible governance and sustainable competitiveness.
It further emphasizes that the success of this process depends on workforce upskilling and dissemination of an organizational culture rooted in transparency and human oversight. Thus, AI standardization is not limited to a technical requirement; it functions as a tool of adaptive governance that supports the transformation of human resource management and reinforces trust within organizations.
Classification JEL: M15
Paper type: Integrative ReviewCet article analyse la normalisation de l’intelligence artificielle (IA) comme un levier stratégique de gouvernance éthique, de conformité et de performance organisationnelle. Il met en lumière la convergence des cadres internationaux tout en soulignant les défis liés à leur contextualisation dans les pays émergents. Cet article repose sur une revue intégrative de la littérature, qui vise à combiner trois dimensions clés : Normalisation IA, Gouvernance et GRH, en mobilisant les normes et cadres internationaux récents, la vision stratégique et les structures nationales, ainsi que les travaux académiques portant sur la gouvernance algorithmique et la transformation de la fonction RH à l’ère de l’IA. La contribution principale de cette recherche consiste à cartographier les cadres normatifs internationaux de l’IA et à examiner leur transposition au Maroc à travers le prisme de la normalisation adaptative, concept clé qui désigne la capacité d’un État à articuler les standards mondiaux avec ses spécificités institutionnelles, économiques et culturelles. L’étude démontre que cette normalisation adaptative, portée par des institutions et des structures, représente une voie stratégique pour instaurer une gouvernance responsable et une compétitivité durable. Elle souligne que la réussite du processus dépend de la montée en compétences des collaborateurs, de la diffusion d’une culture organisationnelle fondée sur la transparence et sur la supervision humaine. Ainsi, la normalisation de l’IA ne se réduit pas à une exigence technique, mais constitue un outil de gouvernance adaptative, soutenant la transformation du management des ressources humaines et la consolidation de la confiance dans les organisations.
JEL Classification : M15
Type du papier : Revue intégrativ
Normalisation et gouvernance de l’intelligence artificielle dans une perspective marocaine : enjeux de conformité dans la gestion des ressources humaines
No full textThis article examines the standardization of artificial intelligence (AI) as a strategic lever for ethical governance, compliance, and organizational performance. It highlights the convergence of international frameworks while emphasizing the challenges associated with contextualizing them in emerging countries. The study is based on an integrative literature review that combines three key dimensions: AI standardization, governance, and human resource management (HRM), drawing on recent international standards and frameworks, national strategic visions, and institutional structures, as well as academic work on algorithmic governance and the transformation of the HR function in the age of AI.
The main contribution of this research lies in mapping international AI normative frameworks and analyzing their translation into the Moroccan context through the lens of adaptive standardization, a key concept that refers to a state's ability to align global standards with its institutional, economic, and cultural specificities. The study shows that this adaptive standardization, supported by institutions and organizational structures, represents a strategic pathway for establishing responsible governance and sustainable competitiveness.
It further emphasizes that the success of this process depends on workforce upskilling and dissemination of an organizational culture rooted in transparency and human oversight. Thus, AI standardization is not limited to a technical requirement; it functions as a tool of adaptive governance that supports the transformation of human resource management and reinforces trust within organizations.
Classification JEL: M15
Paper type: Integrative ReviewCet article analyse la normalisation de l’intelligence artificielle (IA) comme un levier stratégique de gouvernance éthique, de conformité et de performance organisationnelle. Il met en lumière la convergence des cadres internationaux tout en soulignant les défis liés à leur contextualisation dans les pays émergents. Cet article repose sur une revue intégrative de la littérature, qui vise à combiner trois dimensions clés : Normalisation IA, Gouvernance et GRH, en mobilisant les normes et cadres internationaux récents, la vision stratégique et les structures nationales, ainsi que les travaux académiques portant sur la gouvernance algorithmique et la transformation de la fonction RH à l’ère de l’IA. La contribution principale de cette recherche consiste à cartographier les cadres normatifs internationaux de l’IA et à examiner leur transposition au Maroc à travers le prisme de la normalisation adaptative, concept clé qui désigne la capacité d’un État à articuler les standards mondiaux avec ses spécificités institutionnelles, économiques et culturelles. L’étude démontre que cette normalisation adaptative, portée par des institutions et des structures, représente une voie stratégique pour instaurer une gouvernance responsable et une compétitivité durable. Elle souligne que la réussite du processus dépend de la montée en compétences des collaborateurs, de la diffusion d’une culture organisationnelle fondée sur la transparence et sur la supervision humaine. Ainsi, la normalisation de l’IA ne se réduit pas à une exigence technique, mais constitue un outil de gouvernance adaptative, soutenant la transformation du management des ressources humaines et la consolidation de la confiance dans les organisations.
JEL Classification : M15
Type du papier : Revue intégrativ
The Relationships Between Students’ Perceived Learning Styles and the Community of Inquiry Presences in a Graduate Online Course
No full textIn this paper, the author examined whether there is any correlation between students’ perceived learning styles as identified by Felder and Silverman (2002) and each of the three presences of the Garrison et al.’s Community of Inquiry (CoI) framework (2000): the teaching presence, the social presence and the cognitive presence. First, the CoI survey was administered to a sample of Master’s students (N=24) at the University Mohamed First in Morocco. Then transcript analysis of online discussion postings was investigated to explore the links of the three presences of the CoI framework with students’ self-perceptions of personal learning style preferences. Analysis of the data collected from these instruments revealed significant relationships between students’ perceived learning styles with regard to some domains of the Felder and Silverman’s model and only two presences of the CoI framework: the social and cognitive presences. The findings have important implications for how to design online courses in a way that fits students’ needs and thus foster effective learning
Delafossite as hole transport layer a new pathway for efficient perovskite-based solar sells: Insight from experimental, DFT and numerical analysis
No full text[EN] Herein, we propose a successful technique to produce delafossite materials that can be applied as Hole Transport Layer (HTL) in inorganic lead halide Perovskite solar cells (PSCs). The delafossite CuMO2, where M = Al, Ga, Fe, Cr, Ni, Co, Cr types were investigated the M cation effect on the crystal structure, morphology, and optical properties. These properties were investigated using X-ray, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and UV visible spectroscopy. The XRD results confirmed their hexagonal and rhombohedral-like structure, where the SEM image of CuMO2 shows the good formation of delafossite layers. The optical band gap of CuMO2 varies from 2.2 eV to 2.99 eV, which is well in line with the literature. Similarly, we also perform the density functional theory (DFT) calculations for delafossite layers to find their electronic properties of them. Based on experimental and DFT calculations, we performed the numerical analysis in SCAPS-1D software on standard solar cell structure (Spiro -OMeTAD/MAPbI3/TiO2) and replaced Spiro -OMeTAD with all the deposited delafossite layers. Our numerical analysis found that HTL shows the highest power conversion efficiency (PCE%) of 22.90. The proposed work can give a good direction for manufacturing to improve the performance of Perovskite-based solar cells (PSCs).This work has been funded by the Ministerio de Ciencia e Innovacion (Spain) and by the Spanish Agencia Estatal de Investigacion through projects BESTMAT PID2019-107137RB-C21/AEI/10.13039/5011000 11033 and PID2019-107137RB-C22/AEI/10.13039/501100011033 and by ERDF under the funding "A way of making Europe". The author Amal Bouich acknowledges MCIN for funding support through Marga-rita Salas Fellowship (MCIN/AEI/10.13039/501100011033).Bouich, A.; Cerutti Torres, J.; Chfii, H.; Marí-Guaita, J.; Khattak, YH.; Baig, F.; Marí, B.... (2023). Delafossite as hole transport layer a new pathway for efficient perovskite-based solar sells: Insight from experimental, DFT and numerical analysis. Solar Energy. 250:18-32. https://doi.org/10.1016/j.solener.2022.12.022S183225
