This study explores the impact of political stability on the United Arab Emirates' (UAE) sustainable energy transition. It highlights how political stability enables long-term planning, policy continuity, investment attraction, and public acceptance of renewable energy. The study employed quantitative methodology, using the Phillips-Perron (PP) unit root test for stationarity assessment, the Autoregressive Distributed Lag (ARDL) cointegration test to confirm long-term relationships, and the Fully Modified Ordinary Least Square (FMOLS) technique proposed by Phillips and Hansen to investigate the relationships between the variables in the empirical model. The findings emphasize a positive correlation between political stability and the UAE's progress in diversifying its energy mix and embracing renewable sources. The research underscores the significance of political stability as a catalyst for a sustainable energy transition.

In recent years, the prediction of the potential effects of environmental degradation by activities of various sectors including aviation has led to stakeholders calling for a change coupled with the adoption of sustainable and circular supply chain practices to assist mitigate against the projected harmful impacts of climate change. The UAE serves as a major aviation hub partly due to its geographical location, hence the operations of airliners must conform to the current practices which could reduce the number of pollutants such as Carbon Dioxide and other plastic waste. Corporate Social Responsibility considered a core practice towards the realization of sustainability objectives could be pursued by stakeholders in aviation, a norm that could compel management to enforce strategies to achieve Etihad's sustainability goals. The study employed qualitative thematic analysis to interpret various interview questions given by key informants. Purposive sampling was however used to solicit information relating to the chosen topic.

This study investigates the implications of social engineering attacks on mobile device security in the UAE, situating these threats within broader socioeconomic challenges. It employs a mixed methodology to understand both quantitative patterns and qualitative experiences of mobile device users across the seven emirates. The study combines large-scale survey data from 1,247 respondents with 45 in-depth qualitative interviews conducted between November 2024 and February 2025 to examine mobile-based social engineering vulnerabilities in the UAE. It examines demographic factors, cultural influences, technology adoption patterns, and vulnerability to various social engineering attack vectors, including SMS phishing, voice phishing, and mobile application-based deception. The results indicate that social engineering attacks are widespread among UAE mobile users. Age, educational background, and cultural factors, such as trust in authority and collectivist communication trends, influence vulnerability. Qualitative analysis outlines technological empowerment, cultural trust patterns, language barriers in security messaging, and the generational digital divide, as well as inadequate security awareness programs, as critical themes. The results also prove that social engineering attacks targeting mobile devices in the UAE exploit both universal human psychology and culture-specific trust patterns, thus deepening existing socioeconomic challenges related to digital inequality and cyber risk exposure. The study further reemphasizes the need for policymakers to develop culturally adapted security education programs that address the intersection of mobile security vulnerabilities and socioeconomic challenges to build a more resilient digital environment.

Type of the article: Research ArticleAbstractThe global transition toward non-bank capital allocation systems has altered the trajectory of modern industrial development during volatile market cycles. The primary objective of this study is to evaluate the macroeconomic impact of private risk equity across a panel of thirty-eight developed economies from 2010 to 2024. Quantitative estimations rely on a panel error correction model and interactive fixed effects specifications to separate long-run equilibrium trajectories from short-run transactional volatility. Long-run empirical parameters establish that a ten percent expansion in venture capital inflows drives a long-run real gross domestic product increase of 1.43%. The structural systems display robust dynamic stability by automatically correcting 45.2% of growth deviations annually following capital deployment disruptions. Short-run transmission vectors show that a ten percent liquidity injection increases research and development intensity by an absolute 0.0085 percentage points within the same calendar year. Interaction modeling reveals a significant negative moderation coefficient of –0.0004877 for the small enterprise tracking path. This negative vector demonstrates that high-quality public governance structures flatten the short-run capital transmission slope, acting as a structural buffer that shifts the baseline intercept of small business contributions from a low-governance margin of 11.33 up to an insulated high-governance margin of 14.11. Strong institutional protections and anti-corruption frameworks ensure that financial innovations enhance long-term economic stability rather than causing short-term friction.AcknowledgmentsThe authors express gratitude to our respective university departments and institutional research groups for providing the technical infrastructure necessary to conduct this study. We also recognize the participants of internal research seminars whose early feedback helped refine the core empirical parameters of the econometric models.

Purpose — Islamic finance has demonstrated strong empirical resilience during global financial shocks. This paper evaluates how a dual-banking model that integrates Islamic finance with conventional systems accelerates macroeconomic growth. Design/Methodology/Approach — The study employs a panel dataset of 27 countries that operate dual-banking systems over the period 2010–2024 to evaluate both short- and long-run relationships between Islamic finance assets and gross domestic product (GDP), credit to GDP, money supply, small and medium-sized enterprise (SME) credit and stock market capitalisation. The empirical framework applies Autoregressive Distributed Lag-Pooled Mean Group (ARDL-PMG) estimation, error correction models, and Granger causality tests. The principal independent variable is the Islamic banking market share, private sector credit, and broad money supply (M2). Findings — The empirical results indicate that integrated Islamic finance asset shares significantly expand total private credit (β = 0.3725, p = 0.012) and broad money supply (β = 0.2861, p = 0.070) indicators over long horizons. Furthermore, dual-banking integration accelerates annual real macroeconomic output (β = 0.0842, p = 0.009), correlates with localised stock market expansion, increases infrastructure investment (Trade = 0.165), and enhances small enterprise credit access (IsFA = 0.784). Originality/Value — This study provides a novel multi-country panel framework that isolates the specific transmission channels through which Islamic financial depth complements conventional banking. Unlike past single-country studies, it quantifies the net developmental spillovers of integrated dual-banking systems. Research Limitations/Implications — A primary limitation is that the model focuses exclusively on the internal dynamics and asset thresholds within dual-banking systems, omitting comparison with fully singular financial regimes due to global data constraints. Practical Implications — These findings provide clear empirical justification for policymakers to foster dual-banking systems, demonstrating that specialised Islamic small and medium-sized enterprise (SME) credit lines directly complement conventional private sector development.

Supply chain governance has emerged as a transformative strategy with the potential to change the dynamics of disruptions which hinges on state trade policies. This study seeks to explore the fundamental role of state governance in building resilient and sustainable supply chain systems in the United Arab Emirates (UAE). The study employed quantitative based correlation analysis, with data spanning between 2015-2022 in examining the intricate relationships and the effects it has on resilience of supply chain governance and economic growth. Empirical findings reveals an inverse relationship between logistics performance, imports and exports. This implies that, strengthening of logistics infrastructure impacts the internal dependence of state resources raising self-sufficiency levels in the economy. The positive correlation between logistics performance and Gross Domestic Product emphasizes the need to expand the logistics infrastructure across the country which could inadvertently drive high Foreign Direct Investment flows and economic growth led resilience supply chain governance.