American University of Sharjah

This study uses statistical and machine learning techniques to categorize and rank 99 high development cities according to multidimensional Quality of Life factors (QoL). We categorize cities into three unique clusters using hierarchical Ward.D2 clustering and Principal Component Analysis for dimension reduction. We discover clusters that bring together economically developed cities with strong social safety nets, high-income cities lacking in public amenities, rising cities of the future located in peripheral regions, and major population centers in the developing world, finding considerable structural similarities that lead to comparable outcomes across culturally and geographically diverse cities. Components of QoL are grouped into three Principal Components that reveal dynamic interactions between different variables influencing economic and experimental aspects of QoL. Clusters are assessed relative to one another using the three PCs, and crucial factors for classifying cities into different clusters are identified by a Decision tree to allow for tailored policy recommendations for cities of different clusters. Our findings give policymakers a framework to prioritize holistic urban development over GDP-centric models, highlighting the importance of striking a balance between objective standards of human development and subjective, experiential indicators of individual wellbeing.

Introduction In a globalizing world, countries continuously strive to enhance quality of life (QoL). This study focusses on the well-being of residents in gated communities in the UAE, focusing on satisfaction with residential units and their communities. QoL, often seen as subjective, is quantified here by transforming qualitative perceptions into measurable data. Methods An online survey assesses satisfaction based on indicators like residential unit features and community amenities. Using linear regression analysis with SAS 9.4, two models are developed: one for residential unit satisfaction and another for community satisfaction. The study also considers demographics such as gender, income, and unit size. Results Results reveal kitchen and bedroom sizes significantly impact residential unit satisfaction, with p-values of 0.03 and 0.05, respectively. For community satisfaction, facility availability is the most influential factor, with a p-value of 0.03. Comparative analysis shows residents of communities like Motor City Green and Arabian Ranches report higher satisfaction due to larger built-up areas and abundant community facilities. Discussion These findings provide practical guidance for developers and urban planners by identifying priority design and community attributes that can enhance residents’ quality of life while supporting evidence-based decision-making in development-led residential projects aligned with Dubai’s 2040 vision.

Purpose This study aims to investigate the impact of digital economy on fostering entrepreneurship and innovative systems. Through comprehensive analysis, the study identifies potential contributors shaping the digital economy’s involvement to entrepreneurship and innovation systems. Design/methodology/approach The study uses a modified total interpretive structural modeling approach which delves into the complex interrelations between digital economy, entrepreneurial activities, innovation ecosystems and sustainable development objectives. In addition, the authors explain the hierarchical structure and mutual influences among various contributors, highlighting critical pathways and feedback loops. Findings The findings from the study illustrate the contributors of digital economy on entrepreneurship and innovative systems such as “supporting regulatory framework”, “information democratization” and “outreach and awareness” at the bottom level. Furthermore, the study assesses the implications of these findings, including economic growth, job creation, enhanced competitiveness and societal well-being. Moreover, it explores the potential for addressing environmental challenges and fostering inclusive development through digital innovation. Originality/value By providing a nuanced understanding of the dynamics between digital economy, entrepreneurship, innovation and sustainable development, this study offers actionable insights for policymakers, businesses and stakeholders seeking to leverage digital technologies for long-term socioeconomic progress.