In: Problems and prospects of development of the road transport complex: financing, management, innovation, quality, safety – integrated approach. Kharkiv: РС ТЕСHNOLOGY СЕNTЕR, 1. doi: https://doi.org/10.15587/978-617-7319-45-9.introduction
The analysis of modern literary sources shows that the paradigms of the main areas of human activity were developed in 2013-18, using only time-based methods. However, in 2019, the development of paradigms of mechanics showed that they depend not on time, but only on space. Therefore, there arose a problem: when, where and how to apply the space-based method and the time-based method. This is a problem of improving the methodology for developing paradigms - global strategies, strategies of the behavior of mankind as a whole in a specific area of activity. The analysis of recent studies and publications indicates that this problem has not even been raised in world literature and research practice. In the coming new era, the depletion of basic natural resources of the planet and the aggravation of the need to develop a new, third generation of paradigms will only urge the importance of solving this problem. Therefore, the aim of the research is to improve the methodology for developing paradigms. For this purpose, the following tasks are solved: the analysis of the level of knowledge about space, time and matter is carried out; the essence and content of space, time and matter is determined; the nature of the relationship between the space- and time-based methods is determined; the nature of the connection of space- and time-based methods with matter is established; a brief description of the results obtained is given. Research methods: review of literary sources; historical and logical method; analog method; 2C70; VEO; Babailov's method. Results: the matter-based methodology as the only methodology for the development of paradigms is created. Scientific novelty: the composition and sequence of the application of methods for the development of paradigms - space- and time-based methods and the matter-based methodology are streamlined. Practical relevance: the implementation of the matter-based methodology in the practice of developing paradigms will result in improving the methodology of strategic planning in an enterprise, which in turn will increase the efficiency of its management and production.
In: Problems and prospects of development of the road transport complex: financing, management, innovation, quality, safety – integrated approach. Kharkiv: РС ТЕСHNOLOGY СЕNTЕR, 96-115. doi: https://doi.org/10.15587/978-617-7319-45-9.ch7 2021
In: Problems and prospects of development of the road transport complex: financing, management, innovation, quality, safety – integrated approach. Kharkiv: РС ТЕСHNOLOGY СЕNTЕR, 116-134. doi: https://doi.org/10.15587/978-617-7319-45-9.ch8
In: Problems and prospects of development of the road transport complex: financing, management, innovation, quality, safety – integrated approach. Kharkiv: РС ТЕСHNOLOGY СЕNTЕR, 26-41. doi: https://doi.org/10.15587/978-617-7319-45-9.ch3 2021
In: Problems and prospects of development of the road transport complex: financing, management, innovation, quality, safety – integrated approach. Kharkiv: РС ТЕСHNOLOGY СЕNTЕR, 2-16. doi: https://doi.org/10.15587/978-617-7319-45-9.ch1 2021
In: Problems and prospects of development of the road transport complex: financing, management, innovation, quality, safety – integrated approach. Kharkiv: РС ТЕСHNOLOGY СЕNTЕR, 81-95. doi: https://doi.org/10.15587/978-617-7319-45-9.ch6 2021
The article summarises the advanced world experience in government regulation of the automotive industry using the example of the leading automotive manufacturing countries – China, Japan, India, South Korea, the USA, and the European Union. Leading approach to the study of this problem is the comparative method that has afforded revealing peculiarities of the primary measures applied by governments of the world to regulate the automotive industry have been identified. A unified model for government regulation of the automotive industry has been elaborated. The presented model contains a set of measures for government support for the automotive industry depending on the life cycle stage (inception, growth, stabilisation, top position, stagnation, decline, crisis) of the automotive industry and the level (high, medium, low) of competitiveness of automotive enterprises.
The article summarises the advanced world experience in government regulation of the automotive industry using the example of the leading automotive manufacturing countries – China, Japan, India, South Korea, the USA, and the European Union. Leading approach to the study of this problem is the comparative method that has afforded revealing peculiarities of the primary measures applied by governments of the world to regulate the automotive industry have been identified. A unified model for government regulation of the automotive industry has been elaborated. The presented model contains a set of measures for government support for the automotive industry depending on the life cycle stage (inception, growth, stabilisation, top position, stagnation, decline, crisis) of the automotive industry and the level (high, medium, low) of competitiveness of automotive enterprises.
The article summarises the advanced world experience in government regulation of the automotive industry using the example of the leading automotive manufacturing countries – China, Japan, India, South Korea, the USA, and the European Union. Leading approach to the study of this problem is the comparative method that has afforded revealing peculiarities of the primary measures applied by governments of the world to regulate the automotive industry have been identified. A unified model for government regulation of the automotive industry has been elaborated. The presented model contains a set of measures for government support for the automotive industry depending on the life cycle stage (inception, growth, stabilisation, top position, stagnation, decline, crisis) of the automotive industry and the level (high, medium, low) of competitiveness of automotive enterprises.