In the conditions of the full-scale invasion of the Russian Federation into Ukraine, the volunteer movement and public organizations have overcome many challenges. The public sector, represented by the volunteer movement, is currently playing an important role in this process. The crisis situation in Ukraine has led to the emergence of new ideas and the activa­tion of less visible non-profit organizations, bringing to the surface problems that have long been hidden in the depths of Ukrainian society. The aim of the article is to determine the essence of interna­tional volunteering and to define its impact on the develop­ment of the public sector in Ukraine. Scientific and empi­rical methods, such as: collection and compa­rison of infor­mation, a complex method of analysis, a method of synthesis and generalization to determine the impact of international volunteering on the development of Ukrainian public sectors, were used in the article. The main stages of global and Ukrainian volunteerism development have been analyzed. The impact of inter­national volunteering on public sectors in Ukraine has been substantiated. It has been proven that the state participates in international cooperation in the field of volunteering, cooperates with foreign countries and international organizations for the purpose of developing and spreading volunteerism, and concludes relevant international agreements with them.

In the conditions of increasing globalization and deepening international trade, the technological specialization of an economy can be considered as one of the directions for enhancing the competi­tiveness of the countries worldwide. A useful tool for assessing the country's ability to acquire high-tech competitive advantages is a comparative analysis of the structure and specialization of export with developed countries, which will make it possible to assess the potential of export-oriented development based on technological specialization. The purpose of the article is to determine the specialization of Ukraine's foreign trade by comparing the structure and complexity of exports with economically developed countries. This article compares Ukraine's export structure across various economic activities with selected developed countries, confirming the trend of its raw material specialization. An analysis of the technological level of Ukraine's exports and selected countries is conducted using the Product Complexity Index, which for a more thorough assessment of the technological level and taking into account the dispersion of internal specialization, it is proposed to define it as a weighted average value within the type of economic activity. On the basis of correlation-regression analysis, common regularities in the GDP per capita dynamics as an economic growth indicator and the Product Complexity Index of the selected countries are confir­med. The obtained results prove the prospect of implementing a develop­ment strategy for Ukraine's economy aimed at increasing the level of technology and complexity of products, which will ensure the moving away from the raw material export orientation, and enhancing export competitiveness. This approach is particularly relevant in the context of war and the post-war period of economic recovery in the country.

Demographic resilience reflects a country's (or region's) ability and capacity to ensure the quanti­tative and qualitative reproduction of demographic structures under specific historical, socio-economic, legal, and natural conditions. Demographic processes are of fundamental importance both for national development processes and for achieving global sustainable development goals. It is essential to systematically and thoroughly study the current demog­raphic reality, understand it well, and base rational and effective responses to ongoing demographic challenges on this understanding. The long-term consequences of the COVID-19 pandemic, interna­tional conflicts, migration processes, and the mass wave of Ukrainian refugees to EU countries in 2022 have made the topic of researching demographic resilience more relevant. There is no single solution to respond to demographic challenges or fully compen­sate for the negative consequences of demographic changes. Therefore, it is necessary to implement and develop various adaptive measures and organizational-legal conditions to ensure demographic resilience. The research aims to justify and characterize the key organizational and legal conditions for ensuring demographic resilience in EU member countries. The theoretical and metho­dological basis of the research are scientific works of foreign and domestic scholars on the selected issue. General scientific and special methods are used, such as theoretical generalization, systemic analysis, systematization, statistical analysis, grouping, and scientific abstraction. Based on the crite­rion of "social protection of the population," the key organizational and legal conditions for ensuring demographic resilience were identified as follows: quality and accessible healthcare, gender equality, a developed system of social programs and assistance, the implementation of family-friendly policies, and effective management of migrations and refugees. The development of organizational and legal condi­tions depends on effective state policy and a compre­hensive approach to solving this issue. Demographic resilience is one of the essential conditions for achieving sustainable economic development based on a balance between the qualifications of the workforce, their number, willingness, and ability not only to perform specific tasks but also to participate in their formulation and determine the paths to achieving the desired results. The analyzed organi­zational and legal conditions for ensuring demographic resilience not only affect the social stability of the integration group but also impact the pace of economic development.

The purpose of the article is to identify the trends of digitalization in the world economy and to study the differences between the regions of the world. The main hypotheses are: the rapid growth of the introduction and use of digital technologies; the increase of digital divide between countries by level of development. The research used the methods of system analysis, comparison, and multivariate statistical analysis. The results of the study indicate the following trends, in particular, the world economy depends on the Internet. The number of Internet users in the world increased by 4.2 times to 66.3 % of the world's population in 2005–2022. In this process poor countries lag behind rich countries by 3.5 times. Mobile broadband Internet is spreading rapidly in the world – its coverage has doubled over the last 8 years. Smartphones are a key tool for accessing wireless Internet, the cost of which limits digitalization in less developed countries. 4G network coverage dominates in all regions of the world, primarily in cities than in rural areas, although the least developed countries lag significantly behind. Developed countries often hand over leadership in Internet speed to a number of developing countries as they have managed to build new high-speed data transmission infrastructure. Developed countries are leading in all types of business Internet activities and e-government services. Asia is the leader in social media users and online job search, Africa – in software downloads. The Asia-Pacific region is the largest user of international Internet bandwidth. Digital platforms are rapidly developing and will be acquired by companies in various sectors. Rising share prices of leading digital platforms may signal an even greater gap between the digital and "real" economies. The market capitalization of China's digital giants is lower than that of the US. Compa­nies and countries where digital platforms are located are in a better position to lead in the field of artificial intelligence (AI), which is a key factor for future profits. The majority of AI researchers (59 %) work in the US, 11 % - in China. The US and China also dominate in the IoT segment. Data value chains are growing around the world. The meaning of the concept of national sovereignty in the global digital economy, measuring data flows, distinguishing raw data from digital products require further study.

23 ?????? 2022 ?. ???????? ??????? ??? ??????? ??????? ??????? ????????? ?? ???????? ? ????????????? ????? (??), ?? ?????????? ????????????? ???? ???? ??????????????? ????? ?????? ?????????? ?? ????????? ?? ????????????? ?????????. ? ????? ????????? ??????? ???? ?????­?????? ?????????? ???????? ?????????? ?????­??????, ?????????? ?? ?????????????? ??????????, ? ????? ?? ?????????? ????????? (??????? ?????­???????), ??? ????? ? ??. ??????????? ??????? ???????? ????? ???????? ????? ???????? ????­?????? ?????????? ???????????? ? ??????? ?? ???????? ??????? ????????????, ???????? ????­????? ?????????? ???? ? ???????????? ? ?????????? ????????? ?????????? ?????? ??????? ?????????? ????????????, ??????????? ?? ?????????????? ???????? (?nvironment, Social ?? Governance, ??? ? ????? ????????, ??????????? ?? ?????????? – ESG-????????). ?????????? ?? ???????? ???????­?????? ????? ???????????: ????????????? "?????­???????" ?????-??????????? ? ??????-????????? ??????; ????????????? ????????? ?????-?????-????? ESG-??????? ?? ?????????? ?? ?????? ?? ???????; ???????????? ???????????????? ?????????? ???????? "???????" ?????-??????????? ?? ????. ????????????? ??? ?? ????? ??????? ? ?????? ????????????? ?????????? ???????? ? ?????? ??????? ????????? ?? ?????????? ?????????? ? ??????????? ??????????-????????? ???????????. ???? ??????????? ??????? ? ????????? ???????? ??????? ???????????? ?????-??????????? ? ?????? ??, ?????????? ??????­???????? ??????????? ??????????? ? ???????? ???? ????????????? ? ?????????? ?????????? ????­????. ??????????? ????????? ?? ???????: ?????­??????? ????????????, ???????, ???????, ??????­???????, ???????? ?? ????????. ???????? ??????? ????????? ?????????? ESG-????????, ??? ???????-??????? ???. ????????­?????? ???????? "?????­???????" ?????-??????????? ? ??????????? ?????? ?? ?????????? ?????????? ???????? ?????­???????? ????????? ???????­????? ??????????? ???????? ? ?? ??????????. ?????­????, ?? ????? ????? – ?????? ?? ??????? ?????­????? ???????? ??????? ????????????, ???????­?? ?????????? ESG-????????. ??? ?'???????? ??????? ?????????? "????????????" ?????-??????????? ? ???????? ???????? ??????? ?????­??????? ?????? ??????? ????????????? ?????? ?? ?????? ?????­??????? ??????? ??????, ????????? ?? ??? ?????­???? ????????? ?? ?????????? ?? ?? ???????, ??? ? ?? ??????????? ESG-???????; ??????? ?????? ???????? ?????? ???? ??????????? ????????? ???????????? ??????????? ?????? ?? ????????? ?????­??????, ??????????? ? ?????????? ??????? ???????????.

?????? ????????? ???? ?????????? ??????????, ??????????? ?? ?????????? ???? ? ????­????????. ?????????? ????????? ????????'????? ??? ??????????? ?? ?????? ??????????????? ???­????? ????? ???????????? ????????? ?? ?????????? ????­????? ?? ???? ? ??????????, ???????? ?????­????? ?? ?????, ?????????? ???????????? ???????­?????, ?????????, ?????????? ????????­???­???? ???????. ????????? ????????'???? ??? ??????­????? ?? ?????? ???????? ??????????? ????????? ???????? ?????????? ????????? ?? ????????? ????? ????­??????? ?? ????????? ???????????? ????????-????????????? ??????????. ????? ?????? ? ???????????? ??????? ??'????? ??? ?????????? ???????????? ??????­???? "???????? ??????" ?? ?????? ????????? ????? ???????? ???????????, ????????? ????????? ????? ????? ??'?????: ??????­??????, ????????­???? ?? ? ????????????? ????­?????? ???????? ???????, ?????????? ?????? ????????? ????????­??? ?? ????? ????????? ???????????. ??? ????????? ??????????? ??????? ??????????? ?????? ?????­????????? ???????, ??????? ?? ???????, ???????­??­?????, ??????? ???????? ??????, ?????? ???????­????? ????? ?????????, ?????? ???????????? ????­????? ?. ????????????, ?????? ????????? ????? ???????? ??????????? ?. ???????. ?? ?????? ?????????? ???­??­???????? ????????? ???????? ?????? ?????­????? ?? ????????? ??????? ?????? ????? ??'??­???. ????­???? ?????????? ???????? ??? ???­?????? ????­???­????? ?? ???????????? ?????????? ?????????? ????????? "??????? ?????" ?? ????? "??????", "???????", "????????????", ??? ?????­????? ?? ????­??????? ??????????????? ??????? ?? ?????­???????? ???? ????????? ????????? ?????­?????? ??? ? ??????????? ???? "?????-?????", ?? ???? ???????????? ???? ????????? ? ??????? ?? ??? ????????? ???????? ? ?????????? ?????? ????? ?????????. ?????????? ????????? ?? ?????? ??????? ??'????? ??????????? ????????? ??? ??? ?????????? ??????????????? ???????, ? ???????? ???????, ?????????? ?? ?????????? ?????????? ???????????? ????????? "??????? ?????", ?????? ??????????? ?? ???????????. ?????? ?????????­?????? ?????????????? ????????? ?? ?????? ?????­?? ??'???? ??? ????????????? ??????????? ?? ?????? ???????? ??????????? ???? ????????? ?????????? ????? ????? ????????? ????????'???? ??? ??????­??? ?????????? ?? ????????????? ?????????.

? ???????? ?????????? ??????? ??????? ?????????? ?????????? ???????????? ????????? ?? ???? ?????????. ????? ????????? ?????? ? ???? ????? ??????, ??????? ??????? ??????? ??? ???­???????? ???? ??????? ?????????? ?????????????, ??????? ?? ????????? ??? ??????, ??? ????????? ????????? ????????, ?? ??????????? ????? ? ???­????? ????????. ?? ?????????? ???????????? ???­???????? ???????? ?? ????? ?????? ???????????? ?????????-??????????? ?? ?????????? ???????­?????, ?????????? ?? ?????? ????? ? ????????? ???????? ???? ? ?????? ??????? ???????????. ??????????? ??? ?? ???? ??????? ?????? ?? ????????? ????­??­?? ??????? ???????? ???? ???­?????????? ? ?????? ??????????? ????? ?????? ???????? ?????; ?? ???????? ??????????????????? ???????????????? ???????? ????????? ?????? ? ???? ???????; ??????? ???????? ??? ???????. ?????????? ?? ??????-???????????? ?????? ??????????? ??? ????????????? ???????? ???? ???­?????? ??????? ?????????? ?????????; ???­???­??????, ??????????-?????????????? ? ?????????­??? – ??? ?????? ????????? ???????? ?? ?????????? ?????? ?????? ? ??????????? ??????? ???????? ????? ?????? ???????? ?????. ???????? ???????, ?? ?????­???? ??????????? ???????????? ?????????? ?? ????­???????? ???????? ?????????, ?-????? ???? ????­???????????????, ?? ?????? ????????? ???????????? ????????? ??????? ????????: ?????? ????????????-?????????? ?? ?????????-?????????????? ?????­??????? ????????? ?????????? ??????, ??????? ?? ?????????????-???????????? ???????????? ?? ?????­?????; ????????????? ???????????? ??????????? ????????? ????? ? ??????????????? ??????? ??­???????? ? ?????????? ???????? ?????????? ???­?????; ???????????? ???? ??? ???????? ??????? ?? ????????? ?? ?????????? ?????; ???????????­?? ????????? ??? ?? ????? ? ????????????? ????­???????; ??????? ????????? ???????? ??????? ?? ??????????? ?? ?????????; ?????????? ???????­??????? ?????????????. ????? ???????????? ??????? ? ??????? ???????? ????????? ???????? ???? ???­?????????? ??????????? ?????????? ???????????? ????? ?? ??????? ?????????? ??????????? ????????? ?? ?????????? ?????????????? ??????­??? ???????; ?????? ????? ?? ??????? ??????????? ??????? ? ???­?????? ?????????????? ????????? ??????-???????? ?? ????????????-??????????? ?????????? ??? ?????­????? ????????????, ???????????? ?? ????????; ?????­?????? ????????? ?????????? ??????? ? ????????? ????? ?????????? ????? ???????????? ???????? ????????; ??????????? ?????????? ?????????? ???????? ? ???????? ?????????????­?????? ????????? ?? ??????? ???????????? ??????­?????? ???????, ??????????­?????????? ?? ????????? ??????, ?????????? ????? ??????????? ???????????, ?????????? ?????????? ??? ???????, ?????????? ?????????? ??????? ?? ??????????? ?????????? ?? ???????? ???? ??????.

????????-????????? ? ???????? ?? ????­?????? ???????? ?????????? ? ??????, ???? ??? ?????????? ???????? ????? ???????? ? ???­????????? ??’???? ? ????????, ??????????? ???? ????????????? ?? ?????, ??????????? ???????­????? ????? ????????????? ???????? ?? ??????­?????? ??, ????????? ?????? ? ?????????? ??????? ?????? ?????????????? ????????? ??????. ??????? ????????? ?????????? ? ?????? ????? ???????? ?? ???????? ????? ???????????? ???????? ???? ????????? ????????????? ??????????, ??? ?????????? ???????? ?????? ????????-???????? ?? ????????? ??????? ????????? ??? ?????????? ???????, ?????????? ?? ???????????? ???????? ??????????. ????? ?????? ? ???????????? ????????????? ???????? ???????????? ???????? ???????????? ?????????? ????????-?????????? ??????????? ??????? ? ????????? ??????????. ? ???? ??????????? ??????????? ?????????? ????????? ? ??????????? ??????? ? ????????, ?? ???????????? ????, ? ????: ????????, ????????, ?????????? ?? ??????????????, ????????????? ? ??????????-????????? ???????, ??????????????? ?????. ? ????­?? ??????????? ?????????????? ?????? ????????? ????????-??????????. ?????????? ??????????? ???­?????, ???????????????? ??????? ??????? ?? ??­??????? ???????????, ????? ???????? ???????? ????????? ?? ??????????? ?????????? ?? ??????­??? ??????? ?? ???????? ?????????. ???????????? ???????????? ???????????? ??????????? ?????­????? ? ???????????? ??????-??????????, ?? ?????­???? ??????????? ?????? ?? ????????????? ??­??????, ? ????, ? ?????????? ????????????? ????? ???????? ?????????. ?????????, ?? ???????? ????????-????????? ?????????? ??? ??????? ???????????? ?????????? ? ?????????, ??? ???????? ???????? ???????? ????? ???????????? ????????????, ?? ?????????? ?????????? ????????????? ?????????? ??? ??????? ??????? ?? ?????? ???? ?????????, ?????????, ?????? ?? ????????? ? ?????????? ?? ???????????? ???????????? ????? ????????????? ??????? ??????? ?????????, A/B-??????????, ??????­?????? ??????????? ????. ????????????? ???????? ????????? ?????????? ? ???????? ?????????, ??? ???????? ????, ??????? ?????????, ???????????? ??????, ?????? ?????????? ????? ? ????????? ???????? ????????????????.

?? ???????????????? ?????????? ?????????? ????????? ? ??????? ????????????? ??? ?? ?????????? ??????????? ???????? ?????? ????????. ??????????? ??????, ????????????? ????????­????? ?????, ?????? ???????? ??????? ???? ? ????? ???????. ??????? ???????? ? ??????? ?????????? ?? ????? ????? ???? ?? ??????????? ???? ???????? ????????????? ???????????, ???????? ?? ???????? ????????, ?? ???????? ??? ???????? ? ??????? ???????????? ???????????. ????? ?????? ? ?????­????? ???????? ???????????? ???????????? ?? ???? ?????? ?? ???????? ???????????? ??????­?????? ???????. ??????????? ??????? ?? ????????? ??????: ????? ? ?????????? ??????????, ????????­???? ???????, ??????? ?? ???????????? ??? ?????­????? ?????? ???????????? ???????????? ?? ?????­??? ???????????? ??????? ???????. ??????????­???? ??????? ????? ???????? ????????? ?? ???????????? ????????????. ???????????? ????? ???????????? ???????????? ?? ?????????? ??????? ? ???????. ????????, ?? ??????? ???? ?????? ? ???????????? ??????????????? ? ????? ????????­????? ??????????, ?????????? ? ?????????? ??????­?? ?? ???????????? ????????????? ? ?????? ???????? ?? ????????????? ?????????????? ????.

In the conditions of increasing globalization and deepening international trade, the technological specialization of an economy can be considered as one of the directions for enhancing the competi­tiveness of the countries worldwide. A useful tool for assessing the country's ability to acquire high-tech competitive advantages is a comparative analysis of the structure and specialization of export with developed countries, which will make it possible to assess the potential of export-oriented development based on technological specialization. The purpose of the article is to determine the specialization of Ukraine's foreign trade by comparing the structure and complexity of exports with economically developed countries. This article compares Ukraine's export structure across various economic activities with selected developed countries, confirming the trend of its raw material specialization. An analysis of the technological level of Ukraine's exports and selected countries is conducted using the Product Complexity Index, which for a more thorough assessment of the technological level and taking into account the dispersion of internal specialization, it is proposed to define it as a weighted average value within the type of economic activity. On the basis of correlation-regression analysis, common regularities in the GDP per capita dynamics as an economic growth indicator and the Product Complexity Index of the selected countries are confir­med. The obtained results prove the prospect of implementing a develop­ment strategy for Ukraine's economy aimed at increasing the level of technology and complexity of products, which will ensure the moving away from the raw material export orientation, and enhancing export competitiveness. This approach is particularly relevant in the context of war and the post-war period of economic recovery in the country.

Demographic resilience reflects a country's (or region's) ability and capacity to ensure the quanti­tative and qualitative reproduction of demographic structures under specific historical, socio-economic, legal, and natural conditions. Demographic processes are of fundamental importance both for national development processes and for achieving global sustainable development goals. It is essential to systematically and thoroughly study the current demog­raphic reality, understand it well, and base rational and effective responses to ongoing demographic challenges on this understanding. The long-term consequences of the COVID-19 pandemic, interna­tional conflicts, migration processes, and the mass wave of Ukrainian refugees to EU countries in 2022 have made the topic of researching demographic resilience more relevant. There is no single solution to respond to demographic challenges or fully compen­sate for the negative consequences of demographic changes. Therefore, it is necessary to implement and develop various adaptive measures and organizational-legal conditions to ensure demographic resilience. The research aims to justify and characterize the key organizational and legal conditions for ensuring demographic resilience in EU member countries. The theoretical and metho­dological basis of the research are scientific works of foreign and domestic scholars on the selected issue. General scientific and special methods are used, such as theoretical generalization, systemic analysis, systematization, statistical analysis, grouping, and scientific abstraction. Based on the crite­rion of "social protection of the population," the key organizational and legal conditions for ensuring demographic resilience were identified as follows: quality and accessible healthcare, gender equality, a developed system of social programs and assistance, the implementation of family-friendly policies, and effective management of migrations and refugees. The development of organizational and legal condi­tions depends on effective state policy and a compre­hensive approach to solving this issue. Demographic resilience is one of the essential conditions for achieving sustainable economic development based on a balance between the qualifications of the workforce, their number, willingness, and ability not only to perform specific tasks but also to participate in their formulation and determine the paths to achieving the desired results. The analyzed organi­zational and legal conditions for ensuring demographic resilience not only affect the social stability of the integration group but also impact the pace of economic development.

The purpose of the article is to identify the trends of digitalization in the world economy and to study the differences between the regions of the world. The main hypotheses are: the rapid growth of the introduction and use of digital technologies; the increase of digital divide between countries by level of development. The research used the methods of system analysis, comparison, and multivariate statistical analysis. The results of the study indicate the following trends, in particular, the world economy depends on the Internet. The number of Internet users in the world increased by 4.2 times to 66.3 % of the world's population in 2005–2022. In this process poor countries lag behind rich countries by 3.5 times. Mobile broadband Internet is spreading rapidly in the world – its coverage has doubled over the last 8 years. Smartphones are a key tool for accessing wireless Internet, the cost of which limits digitalization in less developed countries. 4G network coverage dominates in all regions of the world, primarily in cities than in rural areas, although the least developed countries lag significantly behind. Developed countries often hand over leadership in Internet speed to a number of developing countries as they have managed to build new high-speed data transmission infrastructure. Developed countries are leading in all types of business Internet activities and e-government services. Asia is the leader in social media users and online job search, Africa – in software downloads. The Asia-Pacific region is the largest user of international Internet bandwidth. Digital platforms are rapidly developing and will be acquired by companies in various sectors. Rising share prices of leading digital platforms may signal an even greater gap between the digital and "real" economies. The market capitalization of China's digital giants is lower than that of the US. Compa­nies and countries where digital platforms are located are in a better position to lead in the field of artificial intelligence (AI), which is a key factor for future profits. The majority of AI researchers (59 %) work in the US, 11 % - in China. The US and China also dominate in the IoT segment. Data value chains are growing around the world. The meaning of the concept of national sovereignty in the global digital economy, measuring data flows, distinguishing raw data from digital products require further study.

On June 23, 2022, a decision was made to give Ukraine the status of a candidate for membership in the European Union (EU), which involves the transformation of all spheres of life in our country in accordance with the principles and legislation of the European Union. In this context, an important role is assigned to Ukraine's compliance with environ­mental, social and corporate governance standards, as well as their financial support (sustainable financing), which are in effect in the EU. The European Commis­sion has recently adopted a number of important documents related to the implementation of sustainable financing policy in EU member states, the key driver of which is the establishment of climate, social and governance risk management systems in financial institutions, primarily banks (Environment, Social and Governance, or environmental spheres, society and management of ESG risks). In accordance with the approaches of the European Union, it is foreseen the implementation of "ecological" risk management in the business strategy of banks; introduction of a mechanism for stress testing ESG risks and determi­ning their impact on capital; ensuring transparency of information regarding "sustainable" risk manage­ment and others. The introduction of these and other measures into the process of integrated risk manage­ment in Ukrainian banks will contribute to their gradual integration into the European environ­mental and financial architecture. The aim of the research is to identify modern trends in the greening of risk management in EU banks, to determine the tools for researching opportunities and the vectors of its introduction into domestic banking practice. The research is based on the following methods of scientific knowledge as: theoretical generalization, analysis, synthesis, abstraction, induction and deduction. As a result of research the key provisions of ESG risk which are implemented by the ECB and European banks, are revealed. The problems of "ecological" risk management in domestic banks were identified and proposals regarding the introduction of the best European banking practices in their activities were developed. It is reviled that banks of EU countries are actively implementing sustainable financing policies, including ESG risk management. In order to find out the degree of implementation of "ecological" risk management in the projection of the sustainable financing policy of Ukrainian banks, a questionnaire is proposed for three analytical blocks of questions, the answers to which will allow to determine their relation to both own and client ESG risks; to identify intentions regarding various forms of bank support for the ecological revival of the country and the solution of climatic, ecological and social problems of society.

This article continues a series of empirical studies aimed at identifying changes in organiza­tions that occur based on the strength of the relationship between competitive strategies and the stages of organi­zational development. The study aims to clarify the existence of relationships between strategies and stages of organizational development, in order to ensure flexibility and timely adaptation to changes in the environment, faster response to changes, maintaining strategic consistency, sustaina­bi­lity, and managing organizational crises. Unders­tan­ding the relationship between strategies and the stages of organizational development helps to mana­geably adapt strategies to the current state of the orga­nization and improve the effectiveness of project-oriented management. The purpose of the article is to identify of the strength of the relation­ship between the violent competitive strategy "powerful elephants" and the phases of the organi­zational life cycle, to verify the presence of three types of relationships: related, opposite, and with a directly independent mutual influence, to determine the impact of the results obtained on the change in organizational behavior. To solve the tasks set, the following methods were used in the work: morpho­logical analysis, analysis and synthesis, systemati­zation, analysis of lite­rary sources, methods for assessing the consistency of expert opinions, the model of competitive strategies by H. Friesewinkel, the model of the organizational life cycle of the organization by I. Adizes. Based on the comparison of morphological statements, evidence of the signifi­cance and presence of the strength of different types of relationships was obtained. The results obtained indicate the highest efficiency and timeliness of the implementation of the violent strategy of powerful elephants in the phases of "Adolescence", "Prime", "Stability", but the preparation and building of the orga­nizational framework for the implementation of this stra­tegy must begin from the previous phase of "Go-go", where the resistance to the implementation of this strategy is low and the signs of a new structure are already beginning to appear and manifest themselves. The development of a strategy based on the strength of the relationship will ensure adaptation in the manage­ment of organizational changes, and project decisions aimed at implementing the violent competitive strategy of powerful elephants will be effective and timely. Know­ledge of the patterns of organizational behavior based on the strength of the relation­ship between competitive strategies and the stages of organizational development can help senior managers understand the relationship between project activity and corporate sustainability.

With the onset of Russian military aggression, Ukrainian industrial enterprises found themselves on the brink of survival. Despite sporadic government initiatives, such as providing grants to companies across various processing industries, there is still no clear framework or mechanisms for a state policy to guide the country out of the crisis. This highlights the pressing issue of industrial policy and the search for ways to ensure financial, economic, and social stability, drawing upon the experiences of other countries in overcoming crisis phenomena during challenging times. The aim of the article is to identify the principles and mechanisms of Great Britain's industrial policy during post-World War II recovery, with a specific focus on the automobile industry, demonstrating the effectiveness of state decisions. The aim is to draw conclusions that can be applied to Ukraine. The historical and dialectical approaches are used to substantiate the pivotal role of state intervention in industrial development. Statistical, structural-functional, and comparative methods are used to assess the policy outcomes and determine the industry's contribution to the post-World War II recovery of Great Britain. The study revealed the factors that contributed to the growth of industrial potential and the transformation of key industries, including the automobile industry, as levers for the post-war economic stabilization in Great Britain. These factors include: high-quality information analysis and expert advisory support for policy decision-making; legal and organizational-institutional support for policy implementation; implementation of regulatory tools for establishing new and reorganizing existing production facilities in designated development areas; setting quotas for goods supply to both domestic and international markets; imposing import tariffs and changes in automobile taxation; providing state support for business research and innovation; encouraging industrial rationalization. Lessons from the British Experience in Ukraine in terms of state industrial policy will contribute to defining realistic goals and objectives for post-war economic recovery and the implementation of long-term business strategies. It will allow for the establishment of a social dialogue with key stakeholders to identify industry drivers and prioritize investment and innovation strategies for accelerated modernization, stabilization, and develop­ment. It will ensure the efficient relocation of existing and the creation of new production facilities for the balanced development of regions. Reproducing this experience will also facilitate the implementation of large-scale projects and the development of high-tech products based on national innovation achieve­ments, enhancing competitiveness in foreign markets, increasing production localization, reducing import dependence, improving the balance of payments, and boosting revenues budgets at all levels.

Abstract. Internet marketing is a modern and effective way of promoting goods and services online that allows you to attract new customers and maintain contact with existing ones, increase your competitiveness and recognition in the market, analyze the effectiveness of your marketing campaigns and optimize them, save budget and get a high level of profitability of invested funds. To respond to the changing consumer behavior worldwide, new approa­ches are needed to create trade offers that take into account the value of the new internet space and adapt the global trends of internet marketing for global brands based on the implementation of modern technologies. The purpose of the article is to establish promising directions for the application of modern innovative technologies of Internet marketing of Ukrainian brands in the digital environment. In the process of research, a set of general and special methods and approaches that correspond to the goal was used, namely: induction, deduction, comparison and systematization, statistical and structural –logical analysis, recommendatory method. The article examines in detail the most relevant trends in Internet marketing that exist in the world today. The authors describe the peculiarities of a website, provide a description of modern approaches to search engine optimisation, and the impact of artificial intelligence and virtual reality on the interaction between business and the target audience. The article also substantiates the necessity of using affiliate marketing in the Ukrainian business environment, which will facilitate the presence of the brand on various resources and, consequently, increase its recognition among the target audience. It is determined that modern Internet marketing applies all aspects of traditional marketing in digital, but at the same time constantly expands the set of innovative tools that allow creating individual and interesting offers for each client based on their behaviour, interests, needs and expectations and measuring and optimising the effectiveness of their marketing activities using analytics, A/B testing, conversion optimisation, etc. A promising area for further research is the development of a strategy that defines goals, target audience, competitive analysis, methods of achieving goals and mechanisms for monitoring performance.