The process of massive transition of enterprises to Industry 4.0 is underway at the current stage. Under such circumstances the production units development management becomes impossible without a profound management processes transformation and the formalizing management actions. The purpose of the study is to improve the of knowledge-intensive industries development management through the creation of an algorithmic model of development in the new industrialization. In pursuit of this goal, the following tasks have been accomplished: subject-object relations were studied and attributed in knowledge-intensive industries development management; identified and formulated the basic principles of the development management model; identified the main levers of development management, taking into account interest groups; characterized by an elementary set of methods and tools for managing development; an algorithmic model for managing the development of high-tech industries was formed. One of the central elements of the proposed model is an assessment of the level of enterprise development. It includes compulsory monitoring of the production development and the degree of its knowledge-intensiveness. Assessment of the current development and interpretation of its results allow the selection of key indicators for a targeted impact on the development of high-tech production.
The paper highlights features of transition from traditional to precision forestry. The transition results are: selective cultivation and cloning of seedlings; specific fertilizer treatment; digital forest inventory; fully mechanized logging of trees; early fire detection. It has been established that the high-precision forestry system includes such technologies that involve improvement of the forest management system, providing tighter operations control and improved data collection; increasing recipes selectivity in accordance with a geographical location; automation of operations, from work in nurseries to forest logistics; Search for optimal solutions using geolocation databases and advanced analytics. According to the McKinsey & Company Research Center, the following promising areas for the development of precision forestry have been: genetics and nurseries; forest management (forestry); logging; wood delivery; value chain. Information and monitoring systems for the forest complex are an important tool in developing an effective forest management policy, and most of the tools and technologies used in forestry are somehow related to remote sensing, GIS technologies and global positioning systems (GPS). The information presented is the basis for intersectoral relations strengthening and can reduce costs of deforestation and illegal logging, forest management and forest fires costs as well as forests mapping costs.
Today, the digital space ensures the success of the digitalization of the economy, forms systems thinking about the processes of digital transformation and makes it possible to avoid unpredictable consequences. The aim of the research is to present a logical sequence of digital space formation. The sequence of the formation of the digital space can develop according to two scenarios, one starts with the formation of innovative potential and digital culture, assessment of innovative and digital maturity; the other begins with an assessment of digital maturity and digital transformation, as it was created on the basis of a third technology platform. Digital culture reflects the preparedness for digital transformation, and it is responsible for the implementation of management functions and maintaining the integrity of the system. Digital culture creates a number of conditions for increasing labor productivity - these are flexibility, agility, autonomy and speed in decision-making. Digital transformation cannot be considered only a process of introducing digital technologies, it is also a process of business development. The digital space is a necessary and sufficient condition for the digitalization of the economy. It creates a level playing field for everyone involved in digital transformation through its interoperability. The digital space provides everyone with equal access to information, technological and technical resources, preserves and increases capacity of the workforce.
The regulation of labor relations is in the plane of labor law, but in the context of a pandemic, non-traditional labor relations and informal forms of employment have arisen, which are not provided for by any current legal document. The aim of the study is to analyze labor relations and informal forms of employment of the population during a pandemic and post-pandemic period. The analysis of skills demanded by the labor market was carried out. It has been established that skills have a certain life cycle, hard skills are characterized by a short life cycle, soft skills — a long one. The digitalization of the economy requires from society the advanced development of competencies that are in demand by the Industry 4.0 ecosystem. In conditions of spatial and resource constraints (pandemic), non-standard forms of employment appear in the labor market (temporary (fixed-term, seasonal) employment, part-time work (call work), temporary agency work and other multilateral labor relations, as well as disguised labor relationships and dependent self-employment). Research has shown that the reasons for the emergence of new labor relations were: insufficient regulatory support; dynamically changing external environment; change in the technological structure; the emergence of precarious forms of employment and growing informal employment; short life cycle of formed professional competencies and job loss due to the COVID-19 pandemic. The development of the gig economy contributes to the development of the freelance market, and it, in turn, affects the development of non-standard forms of employment in the labor market.
In modern conditions, the criteria for assessing the level of development of the tourism and spa sector in the Russian regions, their tourist attractiveness and tourist potential, popularity among domestic and foreign tourists is tourist uniqueness. Uniqueness is ensured by the availability of recreational resources (cultural and historical heritage sites, climatic conditions, balneological resources, and developed main and supporting infrastructures) and their quality level. A comparative analysis of the assessment methods showed that an objective quantitative assessment of the quality of tourist and spa-forming resources is possible using the qualimetry method. The principles of qualimetry, the system of indicators, and mathematical tools of the method do not contradict the goals and objectives of the study. The method of qualimetry does not require the presence of a comparison object since it forms a reference image; it does not require a long time series to obtain a reliable result. Assessing the quality of recreational resources reserves of the competitiveness of tourism and sanatorium organizations is a multicriteria task that is solved within the framework of the qualimetry method. The qualimetry method is a set of comparable methods (the expert assessment method, the graphical method, scaling, the analytical method). The obtained results of assessing the quality level of reserves of recreational resources allow researchers to make informed management decisions.
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