Social Safety of Society for Developing Countries to Meet Sustainable Development Standards: Indicators, Level, Strategic Benchmarks (with Calculations Based on the Case Study of Ukraine)

Algorithm of management actions for the formation and implementation of a resilient health care quality system

OBJECTIVE

Aim: Development of an algorithm of management actions for the formation of a resilient system of quality of medical care in health care institutions of obstetric and gynecological profile and formalization of its closed structural and logical scheme.

PATIENTS AND METHODS

Materials and Methods: A set of theoretical approaches of social medicine and methods of business process reengineering is used, taking into account the dominant ones: systemic and integrated approach and alarm and process approaches; the concept of resilience; quality of medical care; reproductive health care using business ecosystem methods.

RESULTS

Results: The algorithm of management actions for the formation of a resilient system of quality of medical care in obstetric and gynecological health care institutions, which is formalized in nine stages: analysis of needs and identification of problems; substantiation of performance requirements; development of a health care quality strategy; involvement of stakeholders; formation of a system of relative indicators; development of an action plan; implementation of a set of measures; monitoring and evaluation; improving the quality of health care.

CONCLUSION

Conclusions: The results made it possible: construction of a closed structural and logical scheme of management actions, taking into account the combination of factors of influence, harmonized with the main functions of the resilient system, which determine the peculiarities of its functioning; justification of the boundaries of managerial and social responsibility of management entities according to the binary components of the medical and social justification of the process of improving the quality of medical care.

The role of university clinics in advancing higher medical education

OBJECTIVE

Aim: To explore the multifaceted role of university clinics in shaping medical professionals, advancing medical knowledge, and improving healthcare delivery. Special attention is given to their function as primary platforms for practical training, the development of professional competencies, and the implementation of innovative teaching methods in medical education..

PATIENTS AND METHODS

Materials and Methods: This article employs an analysis of the organizational structure, educational programs, and research initiatives of university clinics. Case studies, including the experience of the University Clinic of Taras Shevchenko National University of Kyiv, are utilized to provide insights into their operational challenges, successes, and future prospects.

CONCLUSION

Conclusions: University clinics play a crucial role in medical education by fostering professional skills, clinical competencies, and ethical standards in future physicians. They significantly contribute to the evolution of medical education and healthcare improvement through innovative teaching methods and impactful research.

Does Population Aging Impact China's Economic Growth?

The rapid aging of the population presents great challenges in terms of China's social security expenditure and economic growth. This paper uses the entropy method to comprehensively measure the provincial population aging index in 2008-2019 and constructs an intermediary effect model with it as the core explanatory variable. The results show that the population aging has a significant positive impact on economic growth and on the promotion of the economic growth of more developed areas; it also has a positive impact on the endowment insurance expenditure and medical and health expenditure and on the promotion of economically backward areas. Endowment spending and health spending fully mediate the relationship between population aging and economic growth.

Technological Innovation Efficiency in China: Dynamic Evaluation and Driving Factors

Innovation is the engine and accelerator that drives high-quality economic and enterprise development. In recent years, the output of scientific and technological innovation in China has been high, but the phenomenon of low efficiency and low quality of innovation occurs frequently. In this study, first, technological innovation efficiency (TIE) was measured. Then, a dynamic evaluation and analysis of spatial-temporal characteristics of efficiency were performed. Lastly, the driving factors of innovation efficiency were explored. TIE was calculated dynamically in 30 provinces of China from 2011 to 2019 based on the improved super-efficiency SBM-DEA model. Then, the kernel density estimation method was adopted to analyse the spatial-temporal differentiation characteristics and dynamic evolution process of provincial efficiency. The findings confirm that from 2011 to 2019, the top five provinces for TIE in China were Beijing (1.0), Shanghai (0.96), Hainan (0.96), Jilin (0.94) and Tianjin (0.91). The provinces with lowest average efficiency were Qinghai (0.77), Ningxia (0.73) and Inner Mongolia (0.73). The significant differences in the level of technological innovation in different regions were caused by the long-term and in-depth implementation of the government’s strategy of revitalising science and driving innovation in parts of areas. The findings of kernel function confirm that the TIE in most parts of China was gradually polarised. Furthermore, the results show that for every 1 unit of government R&D funding support, the average marginal utility of the expected TIE will reach 0.192, which is more significant in the central and western regions. On this basis, combined with environmental factors of innovation market, infrastructure, financing and enterprise innovation potential, the article also extracts the driving factors that affect the differences in provincial efficiency. The findings provide a reference for guiding provinces to carry out innovation activities independently and improve innovation quality and efficiency.

The Role of Crypto Trading in the Economy, Renewable Energy Consumption and Ecological Degradation

The rapid growth of information technology and industrial revolutions provoked digital transformation of all sectors, from the government to households. Moreover, digital transformations led to the development of cryptocurrency. However, crypto trading provokes a dilemma loop. On the one hand, crypto trading led to economic development, which allowed attracting additional resources to extending smart and green technologies for de-carbonising the economic growth. On the other hand, crypto trading led to intensifying energy sources, which provoked an increase in greenhouse gas emissions and environmental degradation. The paper aims to analyse the connections between crypto trading, economic development of the country, renewable energy consumption, and environmental degradation. The data for analysis were obtained from: Our World in Data, World Data Bank, Eurostat, Ukrstat, Crystal Blockchain, and KOF Globalisation Index. To check the hypothesis, the paper applied the Pedroni and Kao panel cointegration tests, FMOLS and DOLS panel cointegration models, and Vector Error Correction Models. The findings concluded that the increasing crypto trading led to enhanced GDP, real gross fixed capital formation, and globalisation. However, in the long run, the relationship between crypto trading and the share of renewable energies in total energy consumption was not confirmed by the empirical results. For further directions, it is necessary to analyse the impact of crypto trading on land and water pollution.

Forecasting the Effect of Migrants’ Remittances on Household Expenditure: COVID-19 Impact

The unexpected pandemic has provoked changes in all economic sectors worldwide. COVID-19 has had a direct and indirect effect on countries’ development. Thus, the pandemic limits the movements of labour forces among countries, restricting migrants’ remittances. In addition, it provokes the reorientation of consumer behaviour and changes in household expenditure. For developing countries, migrant remittances are one of the core drivers for improving household wellbeing. Therefore, the paper aims to analyse how the COVID-19 pandemic has affected household expenditure in Ukraine, as being representative of a developing country. For this purpose, the data series were compiled for 2010 to the second quarter of 2021. The data sources were as follows: Ministry of Finance of Ukraine, The World Bank, and the State Statistics Service of Ukraine. The core variables were as follows: migrants’ remittances and expenditure of households by the types. The following methods were applied to achieve the paper’s aims: the Dickey–Fuller Test Unit Root and the ARIMA model. The findings confirmed that COVID-19 has changed the structure of household expenditure in Ukraine. Considering the forecast of household expenditure until 2026, it was shown that due to changes in migrants’ remittances, household expenditure in all categories tends to increase. The forecasted findings concluded that household expenditure on transport had the most significant growth due to changing migrants’ remittances.

Metatheoretical Issues of the Evolution of the International Political Economy

The topicality of the international political economy is determined by the complexity and dynamism of transformation processes in the world economic system, which are developing through information networks and financial technologies. The purpose of the article is to reveal the meta-theory elements of the international political economy in the context of their renewal in the context of the world economic system development in the wave of “information society”. To obtain scientifically sound results, the article uses the historical–logical method, the dialectical method of proceeding from the abstract to the concrete, institutional and evolutionary approaches. The article develops theoretical and methodological foundations for developing the international political economy. It is substantiated that the research agenda of the international political economy is characterized by socio-integrative trends of economic development in the global dimension. The interaction among actors of international relations is analyzed, and the structural components of their functional transformation under the conditions of integration processes advance within the world political and economic space are determined. It is concluded that the international political economy serves as a theoretical foundation, an integral general theoretical basis for establishing adaptive conceptual frameworks for building trust and solidarity among the subjects of the world economic system. Theoretical and methodological principles of the international political economy should be based on analyzing systemic and structural transformations of the world economic system; determining the criteria of social legitimacy of international authorities, based on the norms and values of social and environmental justice; and developing conditions for fulfilling the individual’s creative potential the field of world social capital.

Factors Influencing the Renewable Energy Consumption in Selected European Countries

The overcoming of the issues on energy crisis and inequality have become the priorities as far developing as developed countries are concerned. Moreover, energy inequality has increased due to the shortage of natural gas and rising energy prices in retaliation to the economic recovery affected by the COVID-19 pandemic. This study aims to verify the linkage between the growth of renewable energy consumption and the country’s economic advancement. In this context, this paper determines the main driving forces of renewable energy consumption in European countries during 2000–2018. The annual data for panel regression analysis are retrieved from the OECD. Stat and World Bank Open Data. This empirical analysis employed a set of estimation procedures such as the panel unit root test (Levin, Lin & Chu; Im, Pesaran, Shin W-Stat; ADF-Fisher Chi-square; and PP-Fisher Chi-square methods), the Pearson correlation, fixed- and random-effects models, generalized method of moments (GMM), Hausman and the robustness tests. The results from the Hausman test ratified that the fixed-effects regression model is more suitable for involved panel balanced data. The results of fixed-effects regression and GMM identified the statistically significant and positive relationship between the share of renewable energy consumption of total final energy consumption, GDP per capita, and CO2 emissions per capita for the overall sample. In turn, the total labor force, the gross capital formation, and production-based CO2 intensity are inversely related to renewable energy consumption. The identified effects could provide some insights for policymakers to improve the renewable energy sector towards gaining sustainable economic development.

Moving the 2030 Agenda Ahead: Exploring the Role of Multiple Mediators toward Perceived Environment and Social Sustainability in Residential Neighbourhoods

Neighbourhood safety represents an important topic of study to illustrate the reasons behind the increases in crime and mitigate its effects in neighbourhoods. This study examines how the social and environmental features of neighbourhoods may influence the social sustainability of residents based on the assumption that the perception of safety and social cohesion mediates the effects of neighbourhood environment on social sustainability. A quantitative method was employed to collect data from residents in a low-rise residential area in Penang, Malaysia. The results of structural equation modelling (SEM) indicated the positive and significant effect of neighbourhood accessibility on perceived disorder, whilst the effect of accessibility on social cohesion was negative. Disorders may comprise social and physical disorders, and may have a negative effect on perception of safety, but not on social cohesion. The relationship between disorders and social sustainability is serially mediated by the perception of safety and social cohesion. This implies that those who perceived high disorderliness in a neighbourhood environment reported a lower level of perception of safety, social cohesion and lower levels of social sustainability. Attempts need to be made to reduce neighbourhood disorderliness to pave the way for 2030 Agenda goals implementation.

Post-Industrial Tourism as a Driver of Sustainable Development

The accepted Sustainable Development Goals aim at reorienting the tourism industry to sustainable tourism and enhancing post-industrial tourism. In this case, it is necessary to identify the statistically significant determinants which affect post-industrial tourism development. In this paper, we aim to analyse: (1) the impact of economic and environmental dimensions, and of digital marketing on supporting post-industrial tourism development and (2) the difference between attitude to post-industrial tourism on the gender, age, and education dimensions and digital channels on post-industrial tourism development. The data was collected from questioning 2334 respondents during April–November 2020. The study applied the following methods: frequencies, percentages, t-test, and one-way ANOVA and multiple regression analysis. The findings confirmed the statistically significant impact of the economic and environmental dimensions, as well as digital marketing on post-industrial tourism development. The results of the analysis justified that digital marketing was a catalysator of post-industrial tourism development. In addition, the findings confirmed that there is no difference in attitudes towards post-industrial tourism with respect to the dimensions of age, gender, and education.

Eco-Efficiency and Human Capital Efficiency: Example of Small- and Medium-Sized Family Farms in Selected European Countries

Small- and medium-sized family farms are places to live and sources of income for about half of the population. The aim of this analysis was to determine the relationship between eco-efficiency and human capital efficiency on small- and medium-sized family farms. The analysis was carried out using an economic measure (value of agricultural production per work hour calculated per hectare) and two synthetic measures (human capital and environmental measures). The synthetic measures were determined using the TOPSIS-CRITIC method by defining weights for variables used in the measures. The analysis covered five countries: Lithuania (960 farms), Moldavia (532 farms), Poland (696 farms), Romania (872 farms) and Serbia (524 farms). All of these countries are characterised by a high fragmentation of agricultural holdings. The analysis allowed us to formulate the following conclusions: eco-efficiency and human capital efficiency indices increased with area for small- and medium-sized family farms. An increase in the eco-efficiency index with an increase in farm area suggests that the smaller the farm area, the more extensive the agricultural production that was carried out. In addition, an increase in human capital efficiency with an increase in farm area indicates that there was inefficiency in the utilisation of human capital resources on the agricultural farms studied.

Comprehensive Assessment of Smart Grids: Is There a Universal Approach?

A comprehensive assessment of smart grids is critical for their development. Existing scientific research testifies to the urgency and complexity of the problem of implementing smart grids effectively, both in terms of a single project performance and from the standpoint of creating a local, and later global, energy system. The multidimensionality of smart grids makes it challenging to assess the effectiveness of their implementation. Difficulties in evaluation arise because it is challenging to consider technical, technological, economic, and other relevant aspects of smart grids’ development within a single evaluation system. There are currently a significant number of smart grid assessment systems. However, it remains debatable how systematically and comprehensively they measure the efficiency of a smart grid. This, in turn, raises the question of whether there is a universal evaluation system that integrally considers all the crucial components of smart grids and is suitable for evaluating smart grid projects of different content. This article analyzes the most well-known approaches to comprehensive assessment of smart grids according to the completeness of their coverage of smart grids’ most critical components. This paper identifies the essential areas for assessing smart grids according to the most cited and authoritative research and regulatory documents of the European Union. As a result, seven groups of indicators were identified. These groups of indicators are the basis for comparative analysis of the comprehensive assessment approaches of smart grids. The results of the study should help determine the appropriateness of applying a particular evaluation system. In addition, the analysis of existing evaluation systems allows the shaping of a universal approach to evaluating smart grids comprehensively and systematically.

The Factorial-Reflexive Approach to Diagnosing the Executors’ and Contractors’ Attitude to Achieving the Objectives by Energy Supplying Companies

The article aims to enhance understanding of how relations, behavior and attitude of the executives and contractors to achieving the objectives by energy supplying companies affect the efficiency of the latter’s overall development. There is offered a factor-reflexive approach to diagnosing the executives’ and contractors’ attitude to realizing the tasks of developing the energy supplying companies. This approach includes models to identify and analyze the factors that influenced the change in contractors’ behavior based on the combination of expert techniques, correlation and regression analysis and evaluation of the personnel response to organizational, resource and staffing projects development, through accumulating sufficient statistical information based on the enterprise’s features, relations and environment. This approach to diagnosing executives’ and contractors’ response to the implementation of tasks and the resulting changes takes into account the subjective component of their response. Practical implementation of this approach in monitoring the conformity of the development tasks has proven the ability to identify problems from the viewpoint of the task executives.

The Systemic Approach for Estimating and Strategizing Energy Security: The Case of Ukraine

The current approaches to estimating the level of energy security are based on applying a comprehensive approach to selecting the factors that affect energy security and the dynamics of processes in this domain. This article reveals the application of the model of energy security estimation and strategizing based on the systemic description of energy security as an object of management: the integral system, elements and connections, functions, processes, and the system’s material. At the same time, this model is able to take into account the dynamics of technological, political, economic, and other factors operating in the country and on the global arena. The energy security estimation model developed uses a modern methodology of integrated estimation: a multiplicative form of the integrated index, a formalized definition of the safe existence limits in order to provide scientific substantiation of the threshold vector, a modified rationing method, the principal components method, and the sliding matrix method to substantiate dynamic weighting coefficients. The paper demonstrates the systemic approach application to shaping strategic goals in the energy security domain in the context of sustainable development; the trajectory of energy security development is calculated by the method of strategizing that applies the principle “future is determined by the trajectory to the future” instead of the classical forecasting “past determines the future”. In general, the article shows the possibility of unifying the process of formalizing energy security (according to the needs of the researcher: country, industry, energy network, supply chain) as an object of management, estimating energy security status, and strategizing the regulatory sphere transformation in accordance with the target values for monitoring the effectiveness of management.

The Impact of Innovation and Information Technology on Greenhouse Gas Emissions: A Case of the Visegrád Countries

The rapid growth of negative consequences from climate changes provokes divergent effects in all economic sectors. The experts proved that a core catalyst which bootstrapped the climate changes was greenhouse gas emission. This has led to a range of social, economic, and ecological issues. Such issues could be solved by extending innovation and information technology. This paper aimed to check the hypothesis that innovation and information technology allowed for a reduction of greenhouse gas emissions. The author used such methodology as OLS, fully modified OLS (FMOLS), dynamic OLS (DMOLS), Dicky-Fuller and Phillips-Perron tests. The research is informed by the report of the World Economic Forum, World Data Bank, Eurostat for the Visegrád countries (Hungary, Poland, Check Republic, Slovakia) for the period of 2000–2019. The findings were confirmed in models without control variables, and an increase of 1% of patents led to reducing greenhouse gas (GHG) emissions by 0.28% for Poland, 0.28% for Hungary, 0.38% for the Slovak Republic and 0.46% for the Czech Republic. At the same time, for the models with control variables, only Hungary experienced a statistically significant impact. There, an increase of patents by 1% led to reduction of GHG emissions by 0.22%. The variable R&D expenditure was statistically significant for all countries and all types of models (with and without control variables). The increase of R&D expenditure provoked a decline of GHG emissions by 0.29% (without control variables) and 0.11% (with control variables) for Poland, by 0.26% (without control variables) and 0.41% (with control variables) for Hungary, by 0.3% (without control variables) and 0.23% (with control variables) for the Slovak Republic and by 0.54% (without control variables) and 0.38% (with control variables) for the Czech Republic.

The Impact of the Government Policy on the Energy Efficient Gap: The Evidence from Ukraine

This paper aims to check the impact of investment and institutional determinants on the energy efficiency gap. The findings of the bibliometric analysis confirmed the growth of research interests in identifying the core determinants of the energy efficiency gap. The central hypothesises are: the increasing quality of the institutions leads to an increase of green investments in the energy sector and the dual relationships between investment and institutional determinants lead to additional synergy effects, which allow boosting the decline of energy efficiency gaps of the national economy. For the analysis, the times series were collected from the World Data Bank, Eurostat, Bloomberg, for Ukraine for the period of 2002–2019. The following methods were used: the unit root test—for checking the stationarity of data—and the Johansen test and VEC-modelling—for the cointegration analysis. The findings prove that to reduce the energy efficiency gaps in Ukraine by 1% next year, it is necessary to increase green energy investments by 1.5% this year, and the political stability and public perception of corruption by 3% and 1%. The increase of the public perception of corruption by 1.47 points and of political stability by 2.38 points leads to maximising the recovery speed of the Ukrainian energy sector. Thus, while developing the policy to decrease the energy efficiency gaps, the Ukrainian government should consider the level of public perception of corruption and political stability.

The Energy of Finance in Refining of Medical Surge Capacity

The availability of resources and their concentration in the place of greatest need, will not allow us to successfully overcome a medical surge without the energy required to activate these resources and activities, and increase their quantities if necessary, that is why the staff and management of healthcare institutions are forced to making ethical crisis decisions about who wins and who loses. This study highlights the versatility of the concept of ‘energy’ by attributing it to money or financial resources, which are highly essential in dealing with surges as the healthcare system adopts the appropriate capacity level. This study considers the means (space, staff, supplies, and specific resources) at the disposal of healthcare institutions for the control of diseases as economic resources to identify ways for enhancing their capacity, especially during periods of medical surges such as that caused by the coronavirus disease (COVID-19). The medical resources are dependent on ‘energy’, albeit not in the strictest sense of the term. The article, thus, points out that while limited resources are the norm in economic theory, a medical surge provides an opportunity to sufficiently extend the resources within the health system capacity through increased funding.

Innovation development and migration: panel data approach

The intellectual capital is a catalysator of the country’s economic growth. The developed countries try to develop attractive conditions for highly qualified migrants to diffuse the knowledge and innovations. The authors provided the bibliometric analysis of the papers, which focused on the analysis of the migrant issues was done. For the bibliometric analysis, the metadata of 2 500 papers was selected from Scopus. The results showed that the numbers of Scopus documents on the allocated theme have increased for 2015 year. The most powerful investigations were provided by scientists from the USA, Canada, France, United Kingdom. The bibliometric analysis findings confirmed that the scientists allocated a vast range of the determinants that could stimulate or restrict the migrants in the country. Thus, the governance efficiency had the mediation role between the migration and innovation development of the country. In this case, the paper aims to check the hypothesis that the increasing (decreasing) level of country innovation development and government efficiency from year t − 1 to year t positively (negatively) affects net migration in year t + 1. The panel data for 2011-2018 was generated from IndexMundi, EU Data Portal, WorldBank. The object of the investigation was Bulgaria, Croatia, Lithuania, Latvia, Poland, Romania. The dependent variables – net migration rate, the independent variables – World Government Indicators: Control of Corruption, Government Effectiveness, Political Stability, Rule of Law, Regulatory Quality, Voice and Accountability (for assessment of government efficiency), Innovation Index (for assessment of country's innovation development). In the paper, to check the hypothesis, the authors used the Fully Modified Ordinary Least Square for homogeneous and heterogeneous models. The findings confirmed that innovation development and governance efficiency (Political Stability and Absence of Violence/Terrorism, Regulatory Quality, Voice and Accountability) had a statistically significant impact on the migration rate. The findings could be used to identify the strategic goals of innovation development to overcome the demographic issues and support the migration of the high qualified workforces.

Management of innovation development: critical evaluation of the international economic relations

The problem of the geopolitical stability of the country has always been the basis of sustainable economic development. CIS countries and their closest neighbours are the international centres where important transport and communication routes from Asia to Europe intersect. They have a wide range of various raw material reserves, which focuses the world community's attention and builds a separate vector of economic relations. The transformation processes that have taken place in recent years in countries have been due to scientific and technological progress, the intensity of global innovation, and globalization trends, which encourage the country to move to a new level of development. This article summarizes the arguments and counterarguments within the scientific discussion on the place and prospects of CIS countries' international economic position in the formation of the basis for innovative development. The main purpose of the study is to confirm the hypothesis about the functional links between foreign trade and investment activities of countries and the level of innovative development of the country according to the level of economical development. The study's methodological tools were the methods of correlation-regression analysis and simultaneous structural equations, which allow formalizing both explicit and latent relationships between the studied objects. The study period was chosen from 2011 to 2018 because of statistical data availability. In this regard, the array of input data is presented in the form of regressors which identify the level of innovation development countries and three dependent variables (regressands) which indicate the dynamics of foreign trade turnover, doing business and total internal economic conditions. Besides, the variables from each defined block participate as both dependent and independent variables during the construction of the structural model. The results of the study could be useful for The Innovation Agencies, which are established under the Ministry of Transport, Communications and High Technologies of these countries that assist local business entities in acquiring modern technologies and technological solutions

The interdependency between a family company's name and a family name

A company's name often personifies the company. In the case of family companies, the name is mainly connected with that of the owning family. This paper aims to identify and substantiate the context of the perception of any possible risks from the association of a family name with that of a family company during the generational exchange with the participation of several generations in the family company's management. The hypotheses have been verified based on the evaluation of data acquired from a sample of 245 respondents from the Czech Republic. The research period is 2017-2019. The qualitative research is based on round discussion tables with family business owners. The data has been processed using correlation and regression analysis. The authors have shown that owners consider the association of the family name with that of a family company to be a potential risk. Any negative regard for the family company and the family could lead to losing the family's good name and the company and losing customers and employees. Moreover, it could damage the process of intergenerational transition. The connection between the intensity of the risk perception and the generational exchange process with the participation of several members in the management of a family company has been statistically demonstrated. The degree of perception of the risk is high in family companies where the generational exchange is still ongoing. The exclusion of the variable of the connection of a family company name with the owning family due to collinearity suggests a possibility for a different type of research that would demonstrate the statistical significance. The unique article nature lies in the fact that it involves research into the current, real process of generational exchange taking place in Czech family companies with mainly two generations and up to three generations in the family company management.

The perception of using social media – a comparison of entrepreneurs implementing CSR in managerial practice and other entrepreneurs in selected V4 countries

The article aims to identify the perception of issues related to the use of social media in the business environment of small and medium-sized enterprises in the Czech Republic, Hungary, and Poland. The authors chose the concept of comparing entrepreneurs who implement corporate social responsibility with other interviewed entrepreneurs. An interesting comparison was made from the collected data. The article is based on a questionnaire survey of 1217 respondents. The study was conducted from September 2019 to January 2020. The chi-quadrat test and z-score were used to evaluate statistical hypotheses. The results showed that Czech entrepreneurs implementing corporate social responsibility have more negative answers than the surveyed entrepreneurs in other countries. Thus, less than 28% of Czech corporate social responsibility entrepreneurs agree that social media helps increase corporate growth, while in Poland – up to 49%. As many as 53% of corporate social responsibility entrepreneurs in Hungary and Poland agreed that social media could respond more flexibly to market developments. Czech entrepreneurs were lagging behind 35% of them. The results showed no statistically significant differences in all research questions regarding entrepreneurs without the implemented CSR concept. The article results suggested that Czech CSR entrepreneurs did not see the potential benefits of social media use. Although the study focuses only on 3 central European countries, the results are not generalizable. However, they are useful for those who promote positive impacts on companies through the social networks and organizations that promote corporate social responsibility. One of the tools for transparent communication with customers/suppliers could be by communication via social media. The study's findings could further help other entrepreneurs consider the benefits of social media in doing socially responsible business.

Innovative approaches to the assessment of banking competition in ukraine in terms of digital transformation

The article considers the issues on banking competition interaction, the banking system's stability and efficiency. This research aims to conduct a comprehensive assessment of the banking competition that consists of structural and non-structural methods under the institutional changes' impact. The paper presents how this influences the banking system of Ukraine through its reformation in the banking competition level and how it interacts with indicators of stability and efficiency of the banks. In this study's frame, the authors applied a developed approach to the modified model of Panzar-Rosse regarding the banking activity in Ukraine after it has been rebooted and «cleansed of». The systematization of the scientific background and approaches to assessing the level of banking competition in Ukraine noted that, generally, native authors used only one of the methods to assess the level of competition in the banking industry of Ukraine. Besides, their studies focused on the pre-crisis period, when these innovations hadn't significantly affected the banks' activity changes. The importance of solving this scientific problem is identifying problems in the banking system and taking measures to eliminate them, using the comprehensive assessment of the banking competition level, considering the explanatory indicators of the banks' stability. This issue became critical after a significant reduction in the number of banking institutions in Ukraine and the change in the institutional structure of the banking system of Ukraine under the influence of financial innovations. The study into assessing the level of competition in the banking market of Ukraine is carried out in the following logical sequence: 1) considering the studies on the given subject; 2) describing the existing methods for assessing competition in the banking industry; 3) describing the proposed modified methods of the assessing the level of banking competition; 4) providing proposals regarding the improving banking competition in Ukraine. The study's period is 2015-2019. The research object is the banking system of Ukraine. The article presents an empirical analysis of the current level of competition in the banking market of Ukraine. The findings showed that the banking sector of Ukraine is characterized by monopolistic competition, which is characterized by increasing concentration in the market of the state-owned banks. The study empirically confirms and theoretically proves that some Ukrainian banks have increased their market share due to a decrease in the number of banks in recent years due to the influence of digital transformation. The results of this study could be beneficial for the use of proposed innovative approaches to assessing the level of banking competition in Ukraine in the future, for the bank owners (including small ones), also on proposals for the perspective development of neo-banks in Ukraine, in which there is a need not only for the banking system but also for the users of banking services.

Meta-analysis in management and quality sciences

This study on the methodology of conducting the research process indicates the scarcity of an empirical approach to a problem of quality of the research process. In this paper, the determinants of the quality of the research process in the management sciences were examined. The authors employed the commonly used principal component analysis (PCA), also known as factor analysis. Furthermore, the article presents a holistic, structured and configurable framework that would result in the construction of an appropriate research methodology. The research work carried out within the discipline of management sciences must be embedded both in terms of theory and practice. Although the management sciences are most often treated as applied or practical sciences, they also undertake theoretical research in their scope, because no science can develop without theoretical research. This paper aims to identify the factors influencing the quality of the research process as the complementary elements to the contemporary methodological approaches. The analysis of the domestic and foreign scientific background, as well as the drawn conclusions, turned on the modifications introduced over the years in the management methods. The management methodology is constantly expanding by new methods, the latter being of diverse cognitive and practical effectiveness. The constant growth of diagnostic instruments has been dependent, mainly, on changes occurring in the environment. Moreover, it is connected to the need to make use of more sophisticated and effective tools. The article focused on meta-analysis as a research process and qualitative approach to the research process on the example of research results. Empirical research confirms the existence of factors that constitute a criterion supporting the assessment of the quality of the conducted research process. In the management sciences, the quality of the research process is defined as verifying the degree of implementation and consistency of the objectives of the work following the research problem and conclusions.

Innovation technology and cyber frauds risks of neobanks: gravity model analysis

In the system of global information space, it is important to adequately calculate and assess the factors of successful functioning of the banking system, which are directly the engines of the country's development, economic stability, especially from the standpoint of qualitative measurement of innovative technology and human capital in rapid cyber fraud. The work is devoted to studying factors that describe the components of efficiency and potential use of innovative technologies in neo-banking in 90 countries to determine the level of risk of their use for money laundering based on gravitational modeling methodology. The authors substantiated that using four factors consisting of 13 components of digital evolution is expedient. Three indicators (access infrastructure, transaction infrastructure, and fulfillment infrastructure) allowed forming the supply condition factor. It provides a score on developing digital and physical infrastructure to ensure the digital economic system's quality. The «demand conditions» factor consists of 4 indicators (human quality level, device absorption level and digital broadband level, digital payment absorption), which show how much consumers are willing and able to participate in the digital economic system and whether they have the tools and skills needed to connect to the digital economy. Three indicators (institutional effectiveness and trust, institutions and the business environment, institutions and the digital ecosystem) shaped the «institutional environment» factor. It relates to research on countries' support for digital legislation, governments' investment in digitalization, and regulations. Regulate the quality of storage and access to digital data. The fourth factor of «innovation and change» consists of three features that characterize the state of key innovative economic system inputs (talents and capital), processes (i.e., cooperation between universities and industry), and outputs (i.e., new scalable digital products and services). The generalized indicator was formed based on these indicators. It characterizes the degree of risk of using the services of neobanks of the studied countries by economic agents or individuals to legalize criminal proceeds. At the first stage of the proposed method, the authors substantiated the statistical significance and possibility of using the studied indicators. The procedure of logarithmic normalization was carried out. The toolkit of descriptive statistics of the Statgaphics Centurion package provided the normalization parameters. In the second stage, the indicators were collapsed using a geometric weighted average, which provides meaningful information about the average dynamics rate. The third stage provided calculating the value of the integrated rating assessment of the degree of risk of using innovative technologies, services, and neobanking services for money laundering based on gravity modeling methods. The findings showed that 12.22% of the studied countries had a high degree of risk, 25.56% – a medium level of risk, 25.56% – a risk below the average level, for 36.66% of countries – the risk was almost absent.

Risk-management of public-private partnership innovation projects

This paper recapitulates the argumentations from various scientific discussion concerning the issue of projects` risk management. The article mainly is aimed to analyze the process of risk-management of the innovation projects in the form of public-private partnership, to describe a methodologies of Failure mode, effects and criticality analysis and Fuzzy comprehensive evaluation model, to use above mentioned models in the evaluation of the stability risk of public-private partnership innovation projects. Previous research studies on the topic of public-private partnership defined the efficiency of state sector and business cooperation in a form of public-private partnership, demonstrated that it will allow making investments in the production capacity development, broaden the scope of domestic and foreign markets, accelerate industrial growth, refine the quality of goods, services and works, business activity and investment attractiveness. Especially it can be achieved through innovation project implementation. Moreover, systematization the results in the overview process of literary sources and approaches in the issue of innovation public-private projects` risk-management problem-solving specifies that a huge number of theoretical and practical problems, especially of risk evaluation is urgent, remain unsolved and still studied not enough nowadays. An underdevelopment of innovation projects’ risk-management system, especially in our country, is conditioned the relevance of that scientific problem additionally existing in the circumstances of complex public-private partnership innovation projects` risks evaluation. Investigation of the topic «Risk management of public-private partnership innovation projects» in the article is fulfilled in the following logical sequence: defining the problems while literature review, focusing on project risk-management issue, describing the methodology of the research, demonstrating the results, and making conclusions. The object of research is the chosen by creating a prototype of innovation project in the infrastructure field, suggested that it will be implemented in the form of public-private partnership.

International Tourism Development in the Context of Increasing Globalization Risks: On the Example of Ukraine’s Integration into the Global Tourism Industry

Today, international tourism is one of the most affected sectors of the economy due to the global COVID-19 pandemic. The main purpose of this article is to analyze current trends and identify prospects for the international tourism development in the context of increasing globalization risks in the world, using the example of Ukraine’s integration into the global tourism industry, as Ukraine is located in the centre of Europe and belongs to a number of countries with developing economies, and has the potential to expand its tourism industry, which may be of interest to the international scientific community in terms of overcoming the bifurcation point of its economic development. Analyzing the tourism industry, as one of the most progressive sectors of the world economy, we used general scientific and special research methods (abstract-logical, statistical, systemic analysis and synthesis, abstract-theoretical, and correlation-regression analysis). The paper analyzes major indexes of international tourism development in the modern globalized world and details the risks emerging during the global COVID-19 pandemic. It examines the global dynamics of tourism flows, where France, Spain, and the USA are unquestionable leaders. The study considers foreign exchange earnings of international tourism and the industry contribution to the gross domestic product of countries being an essential component of national budgets. Based on the study conducted, there were developed reliable forecast models for the tourism industry development in the countries under research. These models will provide an opportunity to generate reliable forecasts, which will allow timely identification of potential threats and making effective decisions to address them. At the same time, the issues of managing information support of economic entities in the field of international tourism need to be further developed in order to reduce risks.

Efficiency of Electricity Production Technology from Post-Process Gas Heat: Ecological, Economic and Social Benefits

The strengthening of ecological conflicts due to the increase of the destructive impact from industrial companies on the environment provokes the development and implementation of the eco-innovation technologies. Besides, such technologies should allow obtaining not only the ecological benefits (the decrease of the negative impact on the environment) but also the economic and social advantages which correspond to sustainable development principles. This paper aims to justify the social, ecological and economic effects from implementing a new electricity production technology from post-process gas heat at companies. The data for empirical justification were obtained from the experiment of applying the electricity production technology from post-process gas heat at Polish industrial companies. In the first stage, bibliometric analysis was used for highlighting the scientific background of economic evaluation of the innovative activity on energy technologies of industrial companies and its impact on the environment and public health. Secondly, the economic and ecological efficiency of electricity production technology for the selected company was estimated. The results of the analysis confirm that new technologies allowed increasing the energy efficiency of the company by decreasing energy consumption, increasing productivity, etc. The findings prove that one of the ecological effects was the decrease of CO2 and SO2 emissions in the air. In this case, the link between the volume of CO2 emissions and the rate of morbidity if such innovative technologies were scaled was checked. The findings show that decreasing CO2 emissions by 1% leads to a decline in the death rate by 0.5%. If the new technology were scaled and implemented among similar industrial companies, it could decrease the rate of morbidity by 0.01% The results obtained could be used by the companies’ management and policymakers in the framework to achieve sustainable development goals.