Specific Enterprise Research Articles

Logistics control in the system of business process management at enterprises in the transport industry

The article examines the peculiarities of logistics activities of transport enterprises at the macro and micro levels. A transport enterprise can be considered an intra-production logistics system in which incoming material flows are transformed into transport services. The types of logistics activities of transport enterprises are analyzed, which are divided into four groups: “Supply Logistics”, “Intra-Production Logistics”, “Sales Logistics” and “Resource Logistics”. A comprehensive indicator for determining the level of logistics controlling is proposed, which makes it possible to assess the state of logistics management. An algorithm for assessing the level of logistics controlling at transport enterprises has been developed, which consists of three survey stages. In the first stage, a survey of the expert group is conducted regarding the importance of each type of logistics activity in four groups. The second stage of the survey is the selection of the most important logistics and control indicators for further evaluation using the Delphi method. The third stage of the survey is determining the weight, points, and relative importance of each indicator. A structural and logical scheme for the formation of logistics controlling indicators has been formed. On this basis, a system of basic logistics and control indicators for transport enterprises was developed. The developed model summarizes the system of logistic-controlling indicators, stages, and formulas for calculation and serves as a tool for determining the level of logistic controlling at a transport enterprise. The basis of the model is creating an objective system of logistics and control indicators for a specific enterprise. Using the developed model for assessing the level of logistics controlling at a transport enterprise will provide the opportunity to obtain the necessary information for strategic and operational planning, as well as improve the management of logistics processes. Given the size and specificity of the enterprise's work, an essential task for managers is the formation of an information base for logistics management.

Taxation of the Agricultural Sector in the System of Ukraine’s Economic Policy Implementation and its Digitalization

Introduction. The agricultural sector is a strategically important segment for ensuring the country's national security. New challenges rightly require appropriate responses. All means of regulating the state agrarian sector, first of all, should be aimed at ensuring its successful development and effective functioning. The development of the agrarian sector of Ukraine requires the solution of institutional problems of agrarian production Studying literary sources indicates that state economic policy is implemented, primarily, through the mechanisms of tax policy, which has notes permanent changes in recent years.
 Aim and tasks. The aim of this article is to research the taxation of the agricultural sector in the system of Ukraine’s economic policy implementation and its digitalization. A secondary aim would be to single out the advantages and disadvantages of the taxation system and to create recommendations on choosing a taxation system for subjects of the agrarian sector.
 Results. The taxation of the agricultural sector in the system of Ukraine’s economic policy implementation and its digitalization are researched. Such stages of legal regulation of agricultural protection tax relations as formation (establishment), relative permanence, reformation, and post-reformation (post-reform stage) are defined. The agricultural protection tax measures in terms of VAT taxation during the period are performed. The advantages and disadvantages of the taxation systems of agricultural sector entities are singled out. Recommendations on choosing a taxation system for subjects in the agrarian sector are formed. The structure of the "Manager" module in the program "BAS AGRO. Accounting" is shown.
 Conclusions. Each of the tax systems that can be used by subjects of the agrarian sector has its own advantages and disadvantages. It is necessary to take into account the conditions under which a specific enterprise operates. The performed analysis of the evolution of the tax legislation in terms of taxation of the agrarian sector indicates a reduction in agro-protective actions by the state. At the stages of formation (establishment) and relative permanence of legal regulation, the introduction and effective use of tax policy, in particular the fixed agricultural tax and the special VAT taxation regime, were observed. During the reform and post-reform stages, the agricultural protection measures outlined above, which were quite powerful and effective at the time, were significantly minimized. The actual adaptation of information technologies to the needs of agriculture is one of the best new technologies in the agricultural sector.

Connecting food supply chains

Connecting food supply chains

JUSTIFICATION OF THE PARAMETERS OPTIMIZATION OF THE ENTERPRISE'S CASH FLOWS

Cash flow management is a key aspect of an enterprise's activity, as it is used to regulate all spheres of activity of a business entity, therefore issues related to the effectiveness of this process are of great relevance. The article substantiates the theoretical basis, develops a methodical approach and practical proposals for improving the cash flow management system. The object of the study was the company's cash flow management processes. The subject of scientific research was the theoretical, methodical and applied aspects of cash flow management of the enterprise, as well as modern methods of its optimization. An economic-mathematical model of multi-game optimization of the company's cash flows has been developed, which allows you to accumulate the necessary stock of cash assets in periods of high business activity and direct them in such a way that planned and necessary payments are made during the period of shortage of funds. The main criterion of the proposed model of cash flow optimization is the maximization of net cash flow from operating activities, which should ensure the development and expansion of the enterprise's activities on the basis of self-financing due to the growth of the areas of activity. According to the proposed model, the optimal balance of cash assets, insurance, compensation and current stock of cash assets for a specific enterprise is determined. The proposed model makes it possible to accumulate the necessary stock of monetary assets in periods of high business activity and to direct them in such a way that in the period of shortage of funds, planned and necessary payments are made, as a result of the implementation of the model, it becomes possible to avoid attracting credit resources and related expenses, while receiving additional profit from investing temporarily free funds. The information base of the study was made up of the fundamental theoretical provisions of economic science in the field of enterprise cash flow management, researched in the works of outstanding domestic and foreign economists, legislative and regulatory acts of Ukraine, government decisions and resolutions, N(S)BO, P(S)BO, financial reporting of Urozhai LLC.

RETRACTED ARTICLE: Financial risk assessment to improve the accuracy of financial prediction in the internet financial industry using data analytics models

A sound credit assessment mechanism has been explored for many years and is the key to internet finance development, and scholars divide credit assessment mechanisms into linear assessment and nonlinear assessment. The purpose is to explore the role of two important data analytics models including machine learning and deep learning in internet credit risk assessment and improve the accuracy of financial prediction. First, the problems in the current internet financial risk assessment are understood, and data of MSE (Micro small Enterprises) are chosen for analysis. Then, a feature extraction method based on machine learning is proposed to solve data redundancy and interference in enterprise credit risk assessment. Finally, to solve the data imbalance problem in the credit risk assessment system, a credit risk assessment system based on the deep learning DL algorithm is introduced, and the proposed credit risk assessment system is verified through a fusion algorithm in different models with specific enterprise data. The results show that the credit risk assessment model based on the machine learning algorithm optimizes the standard algorithm through the global optimal solution. The credit risk assessment model based on deep learning can effectively solve imbalanced data. The algorithm generalization is improved through layer-by-layer learning. Comparison analysis shows that the accuracy of the proposed fusion algorithm is 25% higher than that of the latest CNN (Convolutional Neural Network) algorithm. The results can provide a new research idea for the assessment of internet financial risk, which has important reference value for preventing financial systemic risk.

Extending UAF for Model‐Based Capability Planning and Enterprise Portfolio Management

AbstractCapabilities, the lifeblood of an enterprise, can be managed effectively using portfolio management techniques. Capability roadmaps are commonly used to manage the deployment of new and improved capabilities to address key drivers and challenges that the enterprise faces. This paper shows how MBSE can enhance an organization's ability to plan for capability deployments, as well as the ability to more effectively manage its portfolios of systems, services, people, technologies, processes, facilities, and other key enablers for the fielded capabilities. Specific enterprise modeling elements that can facilitate capability planning and portfolio management are presented. These new modeling elements are being incorporated into an update of the Unified Architecture Framework, an OMG standard for modeling an enterprise.

CRM-СИСТЕМИ ЯК ІНСТРУМЕНТИ ОБЛІКОВО-АНАЛІТИЧНОГО ЗАБЕЗПЕЧЕННЯ ЕКОНОМІЧНОЇ БЕЗПЕКИ ПІДПРИЄМСТВ

Economic security of enterprises consists of various components, such as financial, personnel, production, legal, organizational, technological, marketing and others, each of which has its own tools that include elements of accounting and analytical support. The author summarizes the structure of the components of economic security and identifies certain factors that affect security within each component. CRM-systems are a technology of interaction with customers, which helps to optimize business processes in the company and increase the efficiency of components such as organizational, personnel and marketing security of the enterprise. The use of modern technologies can speed up the processing of information coming from the consumer to the company through the analysis and promotion of marketing companies, synchronization of logistics channels of the company, assessing the effectiveness of staff on certain projects and tasks and more. The article considers domestic CRM-systems and compares their functionality in the implementation of improving the economic security of the enterprise. The strengths and weaknesses of these systems have been identified. In general, the review aspect of the article focuses on the identification and analysis of modern domestic product in the framework of the refusal to mass use of similar products of Russian companies. As a result of determining the impact on the components of economic security of the implementation of CRM systems, it is possible to come to a conclusion about the necessity of their application in business activities in order to improve the efficiency of economic security. The CRM systems considered in their base have warehouse management components, connection to logistics channels and marketplaces, work with telephony and analytics. The established advantages and disadvantages will help to make a choice in favor of this or that system and its implementation at a specific enterprise based on the management tasks of the management.

Управление производительностью труда: когнитивные модели противоречий

The analysis of the research, demonstrating the interrelation between the efficiency of human resources management and economic results of the enterprise has been conducted. Causal relationship between human resource management and productivity is shown. Contradictions in the formation of human and labor resources are revealed. The defining role of human capital in the structure of intangible resources. The procedure of substantiation of the choice of HR-practices that involves the construction of a generalized cognitive model of the impact of intangible resources on productivity was formed. The structure of the system of labor productivity management is developed. The structure of the blocks of imitation model on the basis of econometric research data, the procedure of selection of the most important HR-factors is proposed. The possibility of substantiating the choice of control actions based on modeling results is shown. Causal scheme of labor productivity management through intangible resources of industrial enterprise is proposed. A set of econometric models built on the basis of generalization of empirical research and statistical data of specific enterprises was used to develop the model.

Excerpts on the History of Ministry of Economy and Forecasting of the USSR in 1991: The Last Year of the Empire

The collapse of the USSR became an epoch-making event in Russian and world history. The commemorative practices of studying the economic history of the late USSR imply using the country's archival heritage as the most important segment of the social memory and the basis for scientific research. The goal of the article is to introduce into scientific use archival materials of the Ministry of Economy and Forecasting of the USSR, stored in the Russian State Archive of the Economy. The Ministry existed from April to December 1991 and was functionally positioned as the successor of the USSR State Planning Committee. The fonds of the Ministry, apart from the traditional organizational and administrative documents, includes a document block of obvious research interest: these are the responses prepared within the Ministry to the instructions of the Cabinet of Ministers of the USSR. This archival material makes it possible to understand the view of the top leadership, represented by the Cabinet of Ministers of the USSR, on the economic situation in the country, its current problems, options for correcting the problem situations that had arisen, the vision of perspective, in this case tactical, in this most difficult period of national history. With a certain degree of convention, it is possible to identify such thematic lines in the documentary array as the preparation and implementation of state programmes, the state of certain sectors of the economy, the activities of specific enterprises, the economic situation in the regions, the issues of import / export of products and technologies, the situation with the currency fund of the country, external lending issues, social themes, elements of a market economy, etc. The paper considers documentary primary sources on the first four subjects.

General Patterns and Regional Features of the Work of Russian Enterprises in the Context of the COVID-19 Pandemic

The article examines the impact of the crisis caused by the COVID‑19 pandemic on Russian enterprises and regions. As the analysis of world experience and theoretical approaches formulated by the foreign and Russian researchers shows: the difference in development levels and structural features of regional economies are predetermined by natural and climatic conditions, demographic trends, the degree of development of all types of infrastructure, institutional features, etc. National spatial policy also directly affects regional features. However, the use of even the most meaningful theoretical constructions for the practical analysis of the spatial development processes faces an acute shortage of statistical information. In this regard, it was decided to use the results of sociological surveys, including questionnaire surveys of enterprises. Comparison of information from questionnaire surveys conducted at the national level with data from surveys conducted in individual regions makes it possible to identify local features of various economic events and processes. For this purpose, two surveys were conducted using the same questionnaire. One of the surveys was conducted within the framework of the all-Russian sample, the other – ​within the framework of a sample of enterprises representing the Vologda Oblast. An analysis and comparison of the results of the two surveys shows that the differences in the proportions of responses are greater in cases where the situation is strongly influenced by the structural features of the regional economy. When it comes to processes and trends that are typical for the whole of Russia, the magnitude of deviations is less significant or even minimal. The data of two surveys conducted confirm that the unevenness of territorial development is very clearly reflected in the assessments of enterprises. It is obvious that the uneven territorial development and regional characteristics can quite strongly influence the activities of specific enterprises, creating both additional advantages and additional problems.

Features of the analysis of indicators of the development of poultry industry in dynamics

The importance of poultry farming as a branch of agriculture, designed to improve the supply of food to the population and ensure the food security of the country, is emphasized. Provides statistical data on the development of the industry for 2016-2020 at a specific enterprise. An analysis of the development of the industry is presented with an assessment of absolute and relative changes, both in poultry meat and in egg production. Calculations of potential production indicators have been carried out, reserves for their growth have been identified. The work widely used a graphical research method. The research carried out will be useful not only for university students, but also for practicing specialists.

JUSTIFICATION OF TECHNOLOGY FOR THE MAXIMUM INVOLVEMENT OF WASTE FROM CONFECTIONERY PRODUCTIONS IN THE ECONOMIC TURNOVER IN THE REPUBLIC OF BELARUS

Wastes of confectionery production in the Republic of Belarus at the moment are egg shells, spoiled, contaminated food, food containing harmful food additives. Based on the statistical data of the Republic of Belarus, it was found that the total amount of waste generated by the confectionery industry and eggshell from 2015 to 2020 increased by 86,6 %. These generated wastes of confectionery production in our country are currently practically not processed and are sent to a landfill as part of municipal waste, thus increasing environmental pollution. Therefore, there was an economically, technologically and environmentally justified need to develop recommendations for the management of confectionery waste. On the example of one of the largest confectionery enterprises of the Republic of Belarus, the use of technological equipment was investigated and justified - a drum dryer for processing eggshell waste. To obtain high-quality raw materials (eggshell flour), the main parameter of the plants is the ability to maintain high temperatures. This characteristic served as the main parameter for choosing a drum set. Calculations have shown that the cost of collecting and transferring waste to processing enterprises is much less than the cost of drum dryer equipment alone. Also, such installations require additional equipment with various expensive components. In addition, the cost of preparing the site on which the equipment will be installed, commissioning and regular sanitary maintenance with regular technical inspections and repairs of the installation were taken into account. Considering the volumes of generation of these wastes at enterprises and in the whole country, it is not advisable for the enterprises of our state to carry out individual processing of these wastes within production. It is recommended to transfer egg shell waste for processing to third-party specialized enterprises. This decision will help reduce the amount of eggshell waste transferred to landfill sites, and will also allow processors to pay for shell processing plants by selling the resulting products.

Partial Differential Equation-Assisted Accounting Professional Education and Training Artificial Intelligence Collaborative Course System Construction

In this paper, we use partial differential equations combined with artificial intelligence methods to conduct an in-depth study and analysis of the curriculum system of accounting and finance professional education and training. Under the condition of high-performance advanced computers, neural network technology has been developed rapidly and started to adapt to the requirements of computational accuracy and speed in the field of PDEs. Neural networks have good self-learning as well as self-adaptive capabilities, and the use of deep neural networks to solve the numerical solution of partial differential equations has become a popular application that has emerged recently. The system provides a variety of interfaces for the output of calculation results, which can be directly or indirectly read into the calculation results by various common drawing software programs. In addition, the system can also directly plot the results using its plotting plug-in. This paper presents a case study to illustrate the overview of the practical work of the group before the application of accounting AI, i.e., the human manual model, reveals the problems faced by the accounting practice in this model and then discusses the specific application process and the effect it brings, emphasizing the superiority of accounting AI. Intra-group heterogeneity is to fully consider the learning ability, interest, personality, gender, and other factors of individual students when grouping, to ensure the differences between the members of the group. In terms of accounting personnel and accounting credit system, which are indirectly affected by AI in accounting, this paper discusses the overview before the application of AI in accounting and the impact and challenges after the application and then comes up with countermeasures for the development of accounting. Through the study of specific enterprises to elaborate the current situation of the application of accounting AI in enterprises and its impact, it exposes that the application of accounting AI has a great impact on the accounting process, accounting information quality, accounting personnel, accounting information security, and other aspects of enterprises and this paper proposes solutions in four aspects: first, machine learning for adversarial AI needs to be promoted; second, AI-related laws need to be improved; third, management accounting talent transformation needs to be realized; and fourth, the integration of artificial intelligence and accounting needs to be deepened.

The Relationship Between Collaborative Innovation Risk and Performance of Industrial Parks

From the perspective of collaborative innovation risk, the relationship between different risks and IP is explored based on the BPNN (Back Propagation Neural Network) model. Then, the SE (Synergy Effect) and the DC (Dynamic Capability) are introduced as intermediary and moderating variables. Following specific enterprise data input, the relationship between collaborative innovation risk and IP is analyzed based on deep learning and its endogenous mechanism. Conclusion: the analysis model of enterprise IP based on deep learning BPNN can well process enterprise data; different types of collaborative innovation risks in industrial parks have significantly negative effects on IP; the negative effect of organizational collaborative risk on IP is −0.268; apart from market risk factors, the other collaborative innovation methods further hinder the improvement of IP by inhibiting SE; apart from the risk of benefit distribution, the other collaborative innovation risks and IP are negatively regulated by DC, and the regulation effect on the risk of innovative factor input is the largest.

Анализ конкурентоспособности услуг гостиничных предприятий с помощью параметрического метода

Many hotels appear on the market every year, which means that the competition between them also increases. Companies strive to introduce new products and services and improve existing ones in order to surpass competitors. There is an increasing need to assess the market situation. As a result, the importance of such a concept as competitiveness and methods of its assessment increases. The purpose of this article is to analyze the competitiveness of services of hotel enterprises (on the example of the Center-Hotel LLC) using the parametric method. As part of the expert evaluation, the parameters were determined according to the Regulation on the Classification of Hotels; the correspondence of the services of the Center-Hotel LLC and its competitors to the assigned category was revealed; the number of correspondences and the expression of the result as a percentage were calculated; the final assessment by type of services was formed. As part of the consumer evaluation, parameters were determined, weight was assigned to each parameter; the consumer ratings of the Center-Hotel LLC and its competitors were grouped in the form of an assessment/number of respondents; the sum of points/ratings was calculated taking into account the weight and the final assessment by type of services was formed. The article considers the sequence of parametric analysis, a modification of this method for hotel enterprises and an example of the application of analysis for a specific enterprise in the industry; the advantages and disadvantages of parametric analysis for hospitality enterprises are identified.

DEVELOPMENT OF A METHOD FOR ANALYSIS OF PROCESSES OCCURRING DURING THE INTERACTION OF THE ENTERPRISE WITH THE EXTERNAL ENVIRONMENT IN THE PRODUCT SALES PROCESS

The article analyzes enterprises that sell products through various channels. The development of the method is based on the use of graphs. The sources of the data were the observation of several companies that sell their products using different channels. As a result of the study, it was found that this method can presumably be used in modeling the interaction of enterprises with the external environment both at the stage of creating a business and at the stage of its functioning. The study did not assess the financial component of specific enterprises, the number of employees, time of presence on the market, marketing strategy and other parameters. The assessment was carried out solely by the presence of a connection between the enterprise and the subject of the external environment and their number.

Applications of ash аnd slag waste in agriculture

Environmental pollution creates problems for health of people living in residential areas near pollution sources. Studies aimed at developing methods for investigating the impact of industrial facilities on the air is of interest. The purpose of this work is to analyze the methodology for assessing the risk of exposure of a technosphere object to the atmosphere. It was assumed that the enterprise in emergency mode emits pollutants through the source of emissions at the maximum single concentration of the substance exceeding the maximum permissible concentration. To calculate the impact on a human, various scenarios of an emergency situation are taken into account. These are constructing failure trees and using well-known health risk assessment techniques. The calculation took into account the wind rose for a specific enterprise location and wind speed projections obeying the normal distribution law. These assumptions allowed us to develop a method for calculating the risk of exceeding the concentration of a pollutant at a given point (x, y) during the year. Isolines of surface concentrations were built. Three toxic substances were taken for analysis. The method for calculating the dispersion of emissions of harmful (polluting) substances in the atmospheric airwas used; maps of the dispersion of isolines of pollutants in residential areas were constructed. When solving the inverse problem, emergency emission intensities at which excess of permissible concentrations occurred were determined. In the range of multiplicities exceeding the maximum single maximum permissible concentration from 1 to 5, the dependence was well approximated by a straight line. This technique can be used to determine the risk of diseases caused by carcinogenic and noncarcinogenic substances and minimize the risk of exposure to harmful substances. Ash and slag wastes are the source of negative impact on the environment. This area is studied by a number of researchers. The article aims to systematize the data on possible applications, accumulated practical experience of using ash and slag waste in agriculture both in Russia and abroad. The analysis showed that waste from the fuel and energy industry can be widely used in various areas of agriculture. It can be used as ameliorants, zeolite-based mineral fertilizers, pesticides and insecticides for treating horticultural crops, microfertilizers, as well as for soil remediation and land reclamation. The use of ash and slag waste in agriculture and other sectors of the national economy can reduce the ecological load on the environment. The number of overfilled ash dumps can be reduced, and there will be no need to build new ones.

Risk assessment for the industrial facility impact on the atmosphere

Environmental pollution creates problems for health of people living in residential areas near pollution sources. Studies aimed at developing methods for investigating the impact of industrial facilities on the air is of interest. The purpose of this work is to analyze the methodology for assessing the risk of exposure of a technosphere object to the atmosphere. It was assumed that the enterprise in emergency mode emits pollutants through the source of emissions at the maximum single concentration of the substance exceeding the maximum permissible concentration. To calculate the impact on a human, various scenarios of an emergency situation are taken into account. These are constructing failure trees and using well-known health risk assessment techniques. The calculation took into account the wind rose for a specific enterprise location and wind speed projections obeying the normal distribution law. These assumptions allowed us to develop a method for calculating the risk of exceeding the concentration of a pollutant at a given point (x, y) during the year. Isolines of surface concentrations were built. Three toxic substances were taken for analysis. The method for calculating the dispersion of emissions of harmful (polluting) substances in the atmospheric airwas used; maps of the dispersion of isolines of pollutants in residential areas were constructed. When solving the inverse problem, emergency emission intensities at which excess of permissible concentrations occurred were determined. In the range of multiplicities exceeding the maximum single maximum permissible concentration from 1 to 5, the dependence was well approximated by a straight line. This technique can be used to determine the risk of diseases caused by carcinogenic and noncarcinogenic substances and minimize the risk of exposure to harmful substances.

RESEARCH ON WORLD TRENDS IN BIOTECHNOLOGY DEVELOPMENT

Purpose. The aim of the article is to study the practice and peculiarities of organization and development of biotechnology industries in the world, to identify common features of the economy of the industry enterprises, to determine the main trends of the world biotechnology market. Methodology of research. Theoretical and methodological principles of the article are based on the fundamental provisions of modern economic science. The following methods were used in the process of the research: theoretical generalization and scientific abstraction - when studying the basic concepts and categories of the study; method of system analysis - when forming the methodological base of the study; method of comparative analysis - when identifying regional and temporal patterns of development of biotechnology; tabular and graphical - for visual representation of the dynamics and structure of the analyzed indicators; generalization - to substantiate the conclusions. Findings. The features of economics and organization of biotechnology industries are considered, with an emphasis on the most exemplary international experience. The biotechnology is considered as a branch including many specific enterprises which have common features in the organization of the production and management process. Specific and common characteristics of biotechnology industries are highlighted with respect to the organization of management, the technologies used in management, attracting investment and the implementation of the whole range of business processes. Originality. Studies of the trends in the development of biotechnologies worldwide have been further developed. Future research will focus on the potential for biotechnology development in Ukraine. Practical value. Determination of global trends in biotechnology production can serve as prerequisites for the development of biotechnology in Ukraine. Key words: scientific and technological progress, biotechnology, biotechnology production, biotechnology companies, the world market for biotechnology.

ОСОБЛИВОСТІ ЦИФРОВОЇ ТРАНСФОРМАЦІЇ БІЗНЕСУ В УМОВАХ НЕВИЗНАЧЕНОСТІ

The current stage of Ukraine's development is characterized by the decline of many industries in most regions, the curtailment of social and environmental programs in this direction. Such conditions require new approaches not only in planning the development of the range of services, the application of appropriate sales technologies, but also in the formation of new approaches to cost management and increasing the efficiency of business structures. It was found that the advantages of digitalization become a driving force, as well as a competitive advantage of business structures and their stakeholders. The purpose of the study is to determine the features of the process of digital transformation of business in conditions of uncertainty and to identify factors influencing its implementation. The strategic direction of digital development in recent years was the creation of digital infrastructure as an element of the business environment. It has been proven that the business environment in Ukraine is characterized by significant intrusion into the economic affairs of the state and government entities, as well as insufficient efficiency and inconsistency of the applied regulatory tools. Against this background, the need to make management decisions at enterprises in conditions of uncertainty is significantly increased. The possible consequences of the growth of the digital economy for the following subjects were studied: entrepreneurs and employees; consumers of goods and services; unemployed or potential employees; government. It has been proven that the need for digitization processes can be somewhat different at the macro- and micro-level. Thus, the effectiveness of the digital transformation policy is determined by its compliance with the needs of the country's socio-economic development, as well as the interests of individuals and legal entities and the opportunities of the economy. The general policy of digital transformation in the country can only be an auxiliary tool in general economic regulation measures. It is necessary to start digital transformation at a specific enterprise by defining the purpose and reason for the changes. In addition to external conditions, with the help of strategic analysis, it is necessary to identify problem areas and growth areas of the enterprise, in which digital tools can be most appropriate. It was concluded that in conditions of uncertainty, the digital and IT infrastructure, the financial capabilities of the enterprise, and the competence of managers and executives should be clearly assessed. Also, the development of business transformations will be positively influenced by the formed digital support infrastructure.