Development of modern economic system is taking place based on the concept of "knowledge economy". And thus the main method to stimulate economic development is to introduce innovations. Within the functioning of national innovation systems, there is the integration of science, education, capital, and production that, on the one hand, allows creating innovations and, on the other, stimulates the development of the economy precisely due to the formation of the synergetic effect of cooperation of many participants of innovative process. The subject of research is the interrelation of innovative activity with economic efficiency and economic growth at the macrolevel. Therefore, the purpose of the research is to evaluate influence of development of national innovation systems on the economic efficiency, and a number of tasks are carried out in order to achieve it: development of integrated indicators to evaluate operating efficiency of national innovation systems, identification of relationship between the level of development of national innovation systems and the level of economic development of countries, evaluation of development of individual national innovation systems, and determination of influence of the level of national innovation systems' development on the economic growth of countries. The methodology of research of influence of development level of national innovation systems on the economic growth of countries is based on building integral indices, which are calculated by using the method of geometric average of partial indices and construction of regression models, which allow evaluating the influence of development of national innovation systems on the economic efficiency. In the paper, the author's method of forming integral indicator to evaluate the level of development of national innovation systems is developed and a method of evaluating their influence on the economy is proposed. Testing of the methodology of evaluation of national innovation systems' development is carried out based on data of national innovation systems of six countries: Ukraine, Great Britain, Latvia, Germany, Poland, and France. The work proves the existence of a close positive interrelation between the index of national innovation systems' development and the index of GDP per capita, which is peculiar for all countries under study. Also, there are built regression models according to data of calculation of the index of national innovation systems' development and its elements with a quite high reliability, which allows using them in order to forecast GDP per capita under conditions of national innovation systems' development. Moreover, the paper identifies individual features of the influence of separate directions of the functioning of innovation systems on the level of economic development of the countries under study, which provides an opportunity to conduct strategic management for separate directions of the functioning of national innovation systems.
The study of the influence of variable production conditions and the work in logistics milk harvesting systems on the value indicators of their functioning has been carried out. A method that enables to solve the task of coordinating the content of work with variable production conditions is proposed. It has been established that there are seven variants of the content of work in logistics milk harvesting systems, each of which has its own specifics. Computer experiments were carried out using the developed simulation model of logistics processes implementation. On the example of the production conditions of the Brody district in the Lviv region, trends in changing the cost performance of logistics operations for various content during the year are established. On the basis of the defined cost indicators, specific costs of funds for the execution of logistic works for each of the variants of their content are determined. It is substantiated that effective performance of work in logistic systems of milk harvest requires operational planning of their content for each of the days of milk harvest season. The conducted studies will be useful for managers who perform operational planning in logistics milk harvesting systems.
The approach, algorithm, and intelligent system of support of decision-making of management for forecasting of time fund for the performance of the mechanized chemical protection of plants are offered. They are based on the formation of a database and knowledge of the weather from the Open Weather Map service for individual countries and their regions. They provide the formation of databases and knowledge for a given country or its region, taking into account the characteristics of natural, climatic, and industrial conditions based on computer modelling. Also, the proposed intelligent management decision support system provides a systematically accountable set of variable agrometeorological components of the mechanized chemical plant protection system and their impact on the projected time fund of the relevant work. Based on the use of the developed intelligent system of support of acceptance of administrative decisions forecasting of time fund for the performance of the mechanized chemical protection of plants and the set natural-climatic and industrial conditions is executed. The climatically admissible time fund model for mechanized chemical protection of plants during the day for May, which is described by Weibull distribution, is substantiated. The obtained research results can be used by managers of agricultural enterprises during the management processes of forecasting the time fund for the implementation of mechanized chemical plant protection. The developed intelligent decision support system provides further research on forecasting the time fund for the implementation of mechanized chemical plant protection and substantiation of its models for different countries and their regions.
Rapid changes in society, caused by the development of information and communication technologies (ICT), and the challenges provoked by the COVID-19 pandemic, present the education system with the task of forming a new educational environment to ensure the quality training of modern specialists. Currently, for Ukraine, the virtual education space has acquired additional significance, since after the start of the Russian military aggression, unprecedented for the 21st century, the use of distance education technologies has become relevant. The purpose of the article is to analyze digital distance learning platforms, determine their effectiveness, and define perspective strategies for effective communication in the educational environment in wartime. The study uses general scientific research methods (analysis, synthesis, induction, and deduction). The paper is based on the principles of generalization, concretization, and abstraction. The study also used the axiomatic method, which involves the ascent from theoretical positions (axioms) to specific conclusions, and the statistical method Student’s t-test. The conducted survey revealed the benefits of Google applications for both virtual and in-person education spaces. The conclusions defined that blended learning is more productive and preferable for students, as it leaves more time for students to improve themselves and implement their projects, and for teachers to do scientific work. It is essential to apply digital technologies for remote and blended education in Ukraine, as it leads to budgetary funds savings, assuring the maximum implication of all participants of the educational process, including the virtual one.
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