This research investigates Moroccan consumers' attitudes and readiness to embrace AI-powered Customer Relationship Management (CRM) and assistance systems, within the context of their unique cultural and technological landscape. Utilizing a cross-sectional survey approach with a diverse sample of 4,614 respondents, this study examines factors influencing AI adoption, including cultural dimensions, technological infrastructure, trust, and concerns. The findings inform businesses operating in Morocco, contribute to theoretical knowledge on technology adoption, and offer insights into AI adoption in diverse cultural settings. Read more: https://www.sciencedirect.com/science/article/pii/S1877050924010809

Abstract COVID-19 and its global crisis information management were a good slide and coverslip to help observe and study the contributions and influences of internet’s social media applications and their embedded or codependent AI systems in the case of pandemics and global crisis, medias that gained the ability to be powerful information and general opinion rudders that can, dangerously enough, be held by anyone in times of crisis. This chapter presents a novel analysis of the role of AI and social media in crisis management during the COVID-19 pandemic. It provides valuable insights into the potential benefits and challenges of using these technologies to facilitate communication and the flow of information during a crisis, as well as the ethical and societal implications of their use. https://link.springer.com/chapter/10.1007/978-3-031-33183-1_14

  The paper presents a comprehensive analysis of collaborative decision-making strategies in management education, drawing on insights from students, professors, and company managers. Through a structured survey, it examines the effectiveness of various methodologies, including Project-Based Learning, Online Collaborative Platforms, Case-Based Learning, Simulations and Business Games. The findings reveal a consensus on the significance of practical approaches in skill development, alongside the importance of ethical considerations and technological integration. The study underscores the universal relevance of certain methodologies while highlighting nuanced preferences across stakeholder groups. Moreover, it identifies key challenges such as resource constraints and engagement issues, offering valuable insights for the refinement of collaborative decision-making frameworks in management education, particularly in the context of Morocco. Read more on : https://www.taylorfrancis.com/...

This paper explores the transition of Moroccan students from French-speaking to English-speaking destinations and programs for studying abroad. The study uses a combination of quantitative and qualitative research methods to identify trends and patterns in destination preference over time and to gather in-depth information on how and why students choose specific countries for their study abroad programs. The quantitative research findings reveal a significant shift in destination preferences for Moroccan students from French-speaking countries to English-speaking countries over the past few years, while the qualitative research findings provide insights into the motivations and priorities of Moroccan students seeking to study abroad. The findings of this study provide valuable insights and added value for practitioners, especially universities and governments seeking to attract international students from North Africa. Introduction Maghrebian North Africa is a region that is characteri...

This paper presents a quantitative research approach to identify the shared traits of LinkedIn sexual harassers, with the aim of developing more potent AI models that can accurately detect and prevent sexual harassment on the platform. A questionnaire was used to gather data from 479 victims of sexual harassment on LinkedIn, and the data were analyzed using descriptive and inferential statistics. The findings reveal specific linguistic patterns and key factors that can inform the development of more effective AI models, such as the types of harassment, the tones of the harassers, the frequency and duration of the harassing messages, the reactions of the victims, and the imbalance of power between the perpetrator and the victim. Read more : https://www.taylorfrancis.com/chapters/edit/10.1201/9781003393061-12/identifying-behaviors-characteristics-social-media-sexual-harassers-linkedin-ai-nlp-purposes-karim-darban-smail-kabbaj