Digital transformation as a tool for creating an inclusive economy in Ukraine during wartime

In recent years, all economically developed countries of the world experience formation of knowledge economy as the highest stage of postindustrial economy development. International companies, basing their activity on accumulation of human capital according to the principles of innovativeness, scientific nature, continuity and progressiveness, play an important role in activation of this process. Owing to global nature of their activity it influences all spheres of human life in the world, improving it, as well as having an adverse impact (enhancement of poverty in some regions of the word, environment pollution, etc.). Achievement of these conditions of sustainable economic growth is possible just by the way of prevention of the adverse impact, which, among other things, depends on the active social position of the management of international companies. Therefore this paper is aimed at identification of priority focuses of socially responsible activity of international companies. This goal was achieved through generalization of basic program initiatives of the activity of three companies, leading in innovations (Apple, Samsung and IBM). Adoption of the above-mentioned initiatives by other companies of the world as guides while developing their own development strategy has to facilitate the growth of positive effects from enhancement of knowledge economy in the world.

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.