Economic activity vs generation of local budgets’ revenues: Regional disparities in COVID-19 instability

Islamic finance has grown rapidly in the recent years particularly in the Middle East and the world. It receives a great attention of bankers and financial scholars due to its stability during financial shocks and crises. The paper uses empirical analysis to test the role of Islamic banking in enhancing the economic growth of United Arab Emirates (UAE). Gross Domestic Product (GDP), Gross formation (GF), and Foreign Direct Investment (FDI) are used as representatives for economic growth, while Islamic banks’ investments are used as a representative for Islamic financial sector in the UAE. The study uses time series techniques to test the link between the variables. In the current study, co-integration along with error correction models is utilized. All econometric work is done using Eviews. The findings reveal that the causal relationship between Islamic banks’ investments and economic growth of UAE is supply-leading direction. Furthermore, the findings depict that Islamic investments have contributed in increasing investments and in bringing FDI into the country in the long-term. The study also shows that there is two-way association between Islamic banks’ investments and FDI. It shows that FDI supports Islamic banking and Islamic banking brings FDI. The paper concludes that authorities of the UAE should devote more attention for this growing banking sector by facilitating regulations for establishing new Islamic banks and then creating a suitable environment for their growth and progress in the UAE.

Talents play a critical role in achieving organizational strategic goals and a higher level of performance in the healthcare industry. Therefore, the UAE government, which strives to provide world-class healthcare services, encouraged the adoption of talent management strategies and creation of essential capabilities for talent recruitment, development, and retaining. This study explores the talent management strategies, policies, and practices in multiple departments of a public UAE hospital. Moreover, it investigates required skills, competencies, and programs for those departments in the context of Industry 4.0. The study adopted a case study approach and qualitatively surveyed a purposive sample of 13 departmental managers, section heads, and supervisors who are experienced in employee management. The study found that talent management at the studied hospital is undefined and unclear in terms of strategies, policies, and practices. Furthermore, the study highlighted the need for employee encouragement, motivation, and engagement, as well as confirmed the critical role of management and leadership in facilitating talent management in the hospital. Accordingly, a UAE hospital could benefit from this study to develop its talent management policy and strategies that will guide managers in the Industry 4.0 era.

Acknowledgment
The nursing administration, nursing research committee at Tawam hospital and managers who responded to the study survey are acknowledged for the extension of support for the study.

The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.