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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...
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
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