Search Results (479)

Background/Objectives: Social worry may appear in preadolescence, causing it to persist in the future, such that adolescents become more avoidant of situations in which they are evaluated by others. Many previous studies have shown that approximately 4% of preadolescent children suffer from high levels of social worry, which may lead to other problems in the future. It is important to take necessary precautions to explore this worry and take the necessary measures to address it. This study aimed to do so by extracting the psychometric properties of the Social Worries Questionnaire (SWQ) for preadolescence in Arab countries. Methods: The sample consisted of 269 children aged 8–12 years. The SWQ, Spence Child Anxiety Scale (SCAS), Child Abuse Self-Reporting Scale (CASRS-12), and Arabic version of the Children’s Depression Inventory (AVCDI) were administered via various social media. Results: Confirmatory factor analysis was used, and the one-factor model showed that the scale consists of 14 items. The results also indicated evidence of discriminant validity, and that the internal consistency was acceptable. For reliability, the test–retest results showed that the value was appropriate. Conclusions: This scale could be valuable in detecting worry in preadolescent children and providing them with therapeutic and psychological services. Full article

Public service innovation research often focuses on the private or general public sectors, leaving the distinct challenges government entities face unexplored. An empirical study was carried out to bridge this gap using survey results from the United Arab Emirates (UAE) government entities. This study built on that research by further analyzing the relationships among these challenges through a social network approach, visualizing and analyzing the connections between them by utilizing betweenness centrality and eigenvector centrality as key metrics. Based on this analysis, the challenges were classified into different categories; 8 out of 22 challenges were identified as critical due to their high values in both metrics. Addressing these critical challenges is expected to create a cascading impact, helping to resolve many others. Targeted strategies are proposed, and leveraging open innovation is highlighted as an effective and versatile solution to address and mitigate these challenges. This study is one of the few to adopt a social network analysis perspective to visualize and analyze the relationships among challenges, enabling the identification of critical ones. This research offers novel and valuable insights that could assist decision-makers in UAE government entities and countries with similar contexts with actionable strategies to advance public service innovation. Full article

This paper investigates how sustainable STEM education is being shaped within the pre-university systems of the 22 Arab countries. By categorizing these systems into four groups based on the Global Knowledge Index and two analytical tracks, this study examines in detail the factors that enable—or hinder—the development of long-term, sustainability-oriented competencies in science, technology, engineering, and mathematics. Beyond pedagogical dimensions, this study emphasizes STEM education as a strategic tool for achieving national sustainable development goals (SDGs), promoting workforce readiness, and informing education policy reform. The analysis highlights the policy efforts, systemic limitations, and the need for localized strategies to integrate sustainability into the STEM curricula and teacher training. It is structured in six sections: (1) an introduction to STEM and sustainability concepts, the Global Knowledge Index, and the Arab-region education landscape; (2) research questions, methodology, and data sources; (3) analysis of Groups 1 and 2, assessing their experiences in implementing sustainability-driven STEM initiatives; (4) analysis of Groups 3 and 4, evaluating their readiness for adopting sustainable STEM programs; (5) discussion of findings in light of sustainability policy frameworks; and (6) a concluding overview with actionable recommendations to align national education systems with global sustainability goals. Full article

This study examines the role of AI tools in improving public communication via social media analysis. It reviews five of the top platforms—Google Cloud Natural Language, IBM Watson NLU, Hootsuite Insights, Talkwalker Analytics, and Sprout Social—to determine their accuracy in detecting sentiment, predicting trends, optimally timing content, and enhancing messaging engagement. Adopting a structured model approach and Partial Least Squares Structural Equation Modeling (PLS-SEM) via SMART PLS, this research uses 500 influencer posts from five Arab countries. The results demonstrate the impactful relationships between AI tool functions and communication outcomes: the utilization of text analysis tools significantly improved public engagement (β = 0.62, p = 0.001), trend forecasting tools improved strategic planning decisions (β = 0.74, p < 0.001), and timing optimization tools enhanced message efficacy (β = 0.59, p = 0.004). Beyond the technical dimensions, the study addresses urgent ethical considerations by outlining a five-principle ethical governance model that encourages transparency, fairness, privacy, human oversee of technologies, and institutional accountability considering data bias, algorithmic opacity, and over-reliance on automated solutions. The research adds a multidimensional framework for propelling AI into digital public communication in culturally sensitive and linguistically diverse environments and provides a blueprint for improving AI integration. Full article

This study develops two machine learning models to predict the medal performance of countries at the 2028 Olympic Games while systematically analyzing and quantifying the impacts of the host effect and exceptional coaching on medal gains. The dataset encompasses records of total medals by country, event categories, and athletes’ participation from the Olympic Games held between 1896 and 2024. We use K-means clustering to analyze medal trends, categorizing 234 nations into four groups (${\alpha }_1$, ${\alpha }_2$, ${\alpha }_3$, ${\alpha }_4$). Among these, ${\alpha }_1$, ${\alpha }_2$, ${\alpha }_3$ represent medal-winning countries, while ${\alpha }_4$ consists of non-medal-winning nations. For the $\alpha$1, $\alpha$2, and $\alpha$3 groups, 2–3 representative countries from each are selected for trend analysis, with the United States serving as a case study. This study extracts ten factors that may influence medal wins from the dataset, including participant data, the number of events, and medal growth rates. Factor analysis is used to reduce them into three principal components: Factor analysis condenses ten influencing factors into three principal components: the event scale factor (F1), the medal trend factor (F2), and the gender and athletic ability factor (F3). An ARIMA model predicts the factor coefficients for 2028 as 0.9539, 0.7999, and 0.2937, respectively. Four models (random forest, BP Neural Network, XGBoost, and SVM) are employed to predict medal outcomes, using historical data split into training and testing sets to compare their predictive performance. The research results show that XGBoost is the optimal medal predicted model, with the United States projected to win 57 gold medals and a total of 135 medals in 2028. For non-medal-winning countries (${\alpha }_4$), a three-layer fully connected neural network (FCNN) is constructed, achieving an accuracy of 85.5% during testing. Additionally, a formula to calculate the host effect and a Bayesian linear regression model to assess the impact of exceptional coaching on athletes’ medal performance are proposed. The overall trend of countries in the $\alpha$1 group is stable, but they are significantly affected by the host effect; the trend in the $\alpha$2 group shows an upward trend; the trend in the $\alpha$3 group depend on the athletes’ conditions and whether the events they excel in are included in that year’s Olympics. In the $\alpha$4 group, the probabilities of the United Arab Republic (UAR) and Mali (MLI) winning medals in the 2028 Olympic Games are 77.47% and 58.47%, respectively, and there are another four countries with probabilities exceeding 30%. For the eight most recent Olympic Games, the gain rate of the host effect is 74%. Great coaches can bring an average increase of 0.2 to 0.5 medals for each athlete. The proposed models, through an innovative integration of clustering, dimensionality reduction, and predictive algorithms, provide reliable forecasts and data-driven insights for optimizing national sports strategies. These contributions not only address the gap in predicting first-time medal wins for non-medal-winning nations but also offer guidance for policymakers and sports organizations, though they are constrained by assumptions of stable historical trends, minimal external disruptions, and the exclusion of unknown athletes. Full article

Rising population, combined with declining home food production, in Arab nations has resulted in increased food imports that intensifies their dependence on international markets for vital food supplies. These nations face challenges in achieving food security because crude oil price volatility creates difficulties in managing the expenses of imported food products. This research calculates the income and price elasticities of imported food demand to understand consumer behavior changes in response to income and price variations, which helps to explain their impact on regional food security. To our knowledge, this research presents the first analysis of imported food consumption patterns across Arab countries according to their income brackets. This study employs the static Almost Ideal Demand System model to examine food import data spanning from 1961 to 2020. The majority of imported food categories demonstrate inelastic price and income demand, which means that their essential food consumption remains stable despite cost fluctuations. The need for imports makes Arab nations vulnerable to external price changes, which endangers their food security. This research demonstrates why governments must implement policies through subsidies and taxation to reduce price volatility risks while ensuring food stability, which will lead to sustained food security for these nations. Full article

This article analyzes the United Arab Emirates’ (UAE) efforts to achieve sustainable digital records management through government strategies, policies, and initiatives. Document analysis and literature review were employed to examine the UAE’s initiatives alongside global research on sustainable digital records management. The analysis benchmarks the UAE’s strategies against international practices, identifying gaps in research and policy that may affect progress toward environmentally sustainable records management. Key findings reveal that while UAE has made significant advancements in promoting overall sustainability, its policies and initiatives lack specific focus on digital records management. The study underscores the potential for achieving sustainability in digital records management, through the involvement of information management professionals in policy development and implementation. The research highlights both the strengths of the UAE’s current efforts and opportunities for improvement, offering a comprehensive understanding of the country’s commitment to achieving sustainability in the management of digital records. Full article

During the 28th Conference of the Parties (COP28), organized under the United Nations Framework Convention on Climate Change and hosted by the United Arab Emirates, member nations reached a global agreement to begin transitioning away from fossil fuel dependence, forcing the Gulf Cooperation Council (GCC) countries to balance their commitment to a green transition with the need to secure short-term energy supplies. This study highlights the challenges facing the GCC’s efforts to expand renewable energy, even as the region continues to have a significant influence over international energy markets. This study utilizes dynamic panel estimation over the period 2003 to 2022, focusing on the core pillars of the Energy Transition Index to analyze the evolving renewable energy use in the GCC. The results present a clear and optimistic perspective on the region’s renewable energy prospects. Despite the continued dependence on fossil fuels, the findings indicate that, if effectively managed, oil and gas revenues can serve as strategic instruments to support the transition toward cleaner energy sources. These insights offer policymakers robust guidance for long-term energy planning and highlight the critical importance of international collaboration in advancing the GCC’s sustainable energy transition. Full article

Return migration is frequently associated with failure, particularly in the context of women returnees from the global south. This research challenges this notion, focusing on women returnees from Italy to North Africa. It aims to analyze return migration by focusing on women who returned to Morocco and Tunisia in the last 15 years, and the aftermath of the Arab uprisings, emphasizing the transformative potential of migration experiences for themselves and the local community. Women returnees not only redefine their roles in society but also foster socio-economic development, community building, and political changes in the countries of return. The study employs thematic analysis to examine 25 semi-structured interviews conducted with returnees aged 25–60, where women shared insights into their migration, re-adaptation experiences, and challenges upon return. Returnees utilized skills gained abroad to achieve economic empowerment, often starting businesses or finding new jobs. However, they faced cultural challenges, particularly societal expectations of traditional gender roles. Nonetheless, migration empowered many returnees to question these policies and norms, and contribute to societal change. Full article

This study critically examines the rapid proliferation of megaprojects across the Arab region, with a focus on the Gulf Cooperation Council (GCC) countries, where large-scale developments are strategically deployed to reshape global economic influence and enhance geopolitical positioning. Megaprojects, characterized by their vast scale, substantial financial investment, and long-term impact, remain a subject of intense academic debate. While much of the literature questions their economic viability, citing frequent cost overruns and misalignment with localized urban priorities, megaprojects continue to emerge worldwide. Governments and developers promote megaprojects as catalysts for foreign investment, tourism growth, and enhancing the global stature of host countries and regions. Beyond financial and economic imperatives, megaprojects are fundamentally shaped by socio-spatial, socio-political, and capital accumulation dynamics, each playing a critical role in their justification and implementation. These interconnected forces influence the prioritization of large-scale developments, often reinforcing their persistence as dominant urban and infrastructural strategies despite well-documented uncertainties and risks. The study employs a comparative case study approach to analyze two high-profile megaprojects: Masdar City in Abu Dhabi and The Line in NEOM, Saudi Arabia. By examining their underlying motivations, political, social, and economic dynamics, and projected success factors, the study aims to provide an evidence-based assessment of the forces driving these large-scale developments and their potential for completion and long-term viability. This study contributes to the ongoing discourse on megaproject development by offering a nuanced, evidence-based analysis of the socio-political and economic forces shaping large-scale urban initiatives in the Arab region. By critically evaluating the motivations and viability of Masdar City and The Line, this research provides valuable insights that can inform future scholarly inquiries into the governance, planning, and long-term sustainability of megaprojects. The Study offers a strategic framework for policymakers, urban planners, and investors to make more informed, balanced decisions that align large-scale developments with broader economic and social priorities, mitigating risks associated with cost overruns, feasibility challenges, and socio-spatial disparities. Full article

The United Arab Emirates has become increasingly concerned about carbon dioxide emissions due to their impact on climate change and the environment, as it is one of the top ten world oil producers. This reflects its recognition of the need for sustainable development. Therefore, this research aims to study the dynamic impact of economic growth, urbanization, energy consumption, and economic openness on CO₂ emissions, during the period 1975–2022. To capture these effects, a novel dynamic ARDL is employed to separate the impact of each variable separately. The results indicate that the effect of GDP per capita on carbon emissions is negative, as a 1% increase in economic growth leads to a decrease in carbon dioxide emissions by 0.6%. Moreover, the findings confirm that the UAE economy does not apply to the Kuznets curve in developing countries. Furthermore, the impact of energy consumption, urbanization, and trade openness is positive on CO₂ emissions, as a 1% increase in each raises CO₂ by 0.17%, 11.6%, and 1.2%, respectively. These findings are important for decision makers in the environmental field to make decisions to reduce carbon emissions by altering the impact of economic variables and spread awareness towards reducing carbon emissions. Full article

Parents provide most of the support needed for children with cerebral palsy (CP) to increase the child’s participation and independence. Understanding the experiences of parents caring for children with CP is essential for developing effective family programs and services. The current knowledge about parents’ experiences in CP is based on studies in Western countries, with little known about this phenomenon in Arab countries like Saudi Arabia. This study aimed to understand the unique experiences and support needs of Saudi parents caring for children with CP from a social-ecological perspective. We conducted a qualitative, exploratory, descriptive study involving 12 semi-structured interviews with mothers and fathers of children with different types of CP. We analyzed the data using a reflexive thematic approach, following six distinct phases. Participants’ narratives revealed a complex caregiving journey marked by both challenges and rewards. Support from Saudi nuclear and extended family members was considered important; however, many parents expressed a need for additional physical and financial assistance from their families. Parents reported feeling stressed and experiencing challenges in accessing and navigating educational and healthcare services. Our findings highlight that Islamic values play a crucial role in the experiences of Saudi parents. These values foster a sense of collectivism, highlighting the importance of family support and community involvement, which can affect the Saudi caregiving environment. Parents remain an essential yet often invisible part of the Saudi caregiving system. Without adequate support, parents are at risk of experiencing social, financial, academic, physical, and mental health challenges, which may affect their overall family well-being. Future work may need to consider spiritual and gender roles when developing programs or services to support Saudi parents of children with CP. Full article

Language-in-education policies often serve hidden political and economic agendas, and thus language policy research must examine policies beyond official state discourse. This article critically analyzes Morocco’s Language Alternation Policy (LAP), introduced in 2019, using the historical–structural approach. It examines the broader historical context and structural factors that shape the adoption and implementation of LAP. While the official policy discourse frames LAP as an egalitarian reform aimed at promoting balanced multilingualism by alternating instructional media in science education, its de facto implementation reveals a stark contradiction. The ideological underpinnings of LAP are the resurgence of French as the exclusive medium of instruction in science and technology classrooms. This policy undercuts a decades-long Arabization of science and the promotion of the Amazigh language, as well as denying Moroccans the potential advantages of learning English. The disparity between official policy discourse and implementation reveals the influence of France’s neocolonial agenda, exercised through Francophonie, international clientelism, and financial patronage. Through implementing LAP to align with France’s interests in Morocco, French-trained political actors undermine the country’s decolonization efforts and preserve the long-standing socioeconomic privileges of the francophone elite. We analyze how LAP functions ideologically to resolidify France’s cultural and linguistic hegemony and reinforce pre- and post-independence linguistic and social inequalities. Full article

The FAO estimates that 1660 million hectares globally are degraded due to human activities, with over 60% of this degradation affecting agricultural lands, including croplands and pastures. Given that 95% of global food production depends on land, this widespread degradation presents significant challenges to agrifood systems. This study compares patterns of human-induced land degradation in Arab countries with global and regional averages, examining drivers, impacts on agrifood systems, current yield gaps, and restoration opportunities. The results indicate that in the Arab region, two-thirds of the 70 million hectares affected by human-induced degradation—over 46 million hectares—are agricultural land, with croplands particularly impacted. However, with less than 4% of land in the Arab region designated for restoration, the region lags behind global targets. Restoring 26 million hectares of degraded cropland could reduce the yield gap by up to 50% for oil crops and help cereal, root, and tuber crops approach their potential yields. These findings underscore the pressing need for a regional initiative specifically targeting agricultural land degradation to enhance food security, reduce poverty, and support sustainable and resilient agrifood systems. Full article

This study employs asymmetric quantile regression to investigate the asymmetric impact of WTI crude oil prices and economic policy uncertainty (EPU) on stock market returns from May 2014 to December 2024 in oil-importing (China, India, Germany, Italy, Japan, USA, and South Korea) and oil-exporting (Saudi Arabia, Russia, Iraq, Canada, and the United Arab Emirates) countries. The findings reveal that an increase in oil prices significantly impacts the returns of all countries. For oil-importing countries, an increase in oil prices consistently exhibits a positive impact, with insignificant effects in lower and medium quantiles and significant effects in higher quantiles. Conversely, a decrease in oil prices generally decreases stock market returns across all quantiles. This study offers valuable insights for investors to manage risks and improve the predictability of oil price fluctuations. It also provides strategies and policy implications for capitalists and decision-makers. By addressing contemporary issues and using up-to-date data, the study supports financial institutions and portfolio managers in formulating effective strategies. Full article