Dynamics Of Sales Research Articles

Research on the social functions of trade to support the development of marketability of farm products

In recent years, there has been a problem of reducing the marketability of agricultural products of farms for many types of goods. Among the key food products supplied by farmers, the negative dynamics of sales was noted for the sale of potatoes and vegetables. This situation is largely related to the annual fluctuations in agricultural production, which is especially evident in the cultivation of fruit and vegetable crops. Using econometric modeling based on the construction of regressions based on panel data, the article shows the negative impact of changes in production volumes on the percentage of marketability of farm products. Farmers, like other small-scale enterprises, do not have a developed marketing infrastructure, unlike agricultural organizations. Therefore, farms are particularly sensitive to fluctuations in production volumes, which create for them the problem of lack or excess of resources for sales. An important way to solve this problem is the activity of trade organizations aimed at implementing social functions to support the sale of farm products. In Russia, such social practices are being implemented by the largest representatives of the retail industry in a pilot mode in certain regions of the country. In particular, in some areas, agricultural aggregators are operating, launched by the “X5 Group” and “Magnit” retail chains, which perform technological and marketing functions to ensure the sale of farm goods. There are other social projects of trade organizations, for example, “Agrocontract” and “Farmer›s Island”, initiated by “X5 Group”, which involve the conclusion of direct contracts with farmers in order to reduce the purchase prices of goods and provide for the purchase of various unique goods from farmers. The expansion of the social functions of trade organizations will significantly overcome the existing problems of marketing farm products and provide such farms with sufficient income and profit for further self-development of activities.

Multi-factor fuzzy sets decision system forecasting consumer insolvency risk

The objective of this study is to develop a multi-factor decision system predicting insolvency risk for natural persons with the use of fuzzy sets. Considering that the financial situation of households is affected by various endogenous and exogenous factors, the main assumption of this study is that the system for predicting financial difficulties should not be limited to the use of only a few financial variables concerning consumers, but also include variables describing the environment. The author proposes a system consisting of three different forecasting models that connect the macroeconomic and microeconomic environments. It monitors the economic situation of households by also identifying those environmental variables, which may directly, or indirectly, endanger the consumer, such as unemployment rate (job market situation), inflation and interest rates, exchange rates, or economic situation in the country (GDP growth rate, the dynamics of retail sales, etc.). Moreover, the created cause-and-effect tool is in the form of a flexible application that can be easily adapted to changing economic conditions. Another unique feature of the study is the proposed use of newly developed ratios in household finance, similar to that in financial ratio analysis, which is commonly used in corporate finance. The proposed ratios demonstrated high predictive abilities. The paper also identifies the predictive capabilities of selected macroeconomic variables from the perspective of their impact on the risk of consumer insolvency. The research relies on four samples consisting of a total of 2400 consumers from Taiwan and Poland. The author created three forecasting models separately for the South-East Asian and Central European regions, and two multi-factor systems, each consisting of 1260 decision rules. The findings clearly showed that fuzzy logic is a significantly more effective method compared to traditional models based on classical logic.

Dynamics of circular business development: The case of social clothing recycle

AbstractNowadays, scholars and policymakers see circular economy (CE) as a relevant paradigm to pursue sustainability. Despite the mushrooming literature on CE, management studies lack in describing CE implementation features at a firm level and the driving forces for circular conversion. This paper thus seeks to investigate the key dynamics occurring in native circular firms to support hypotheses generation on the development and diffusion of circular business models. For this purpose, two representative case studies in the social clothing sector have been performed with a qualitative and participative approach, making use of system dynamics (SD) tools. Cases' narrative and embedded SD causal structures depict the organization's business, environmental, social and educational features. The model illustrates self‐reinforcing dynamics of circular consumptions and sales, organizational capacity building and consumer conversion to circularity. Composite learning mechanisms and educational initiatives catalyse the commercial business and disclose a role for circular companies in the affirmation of CE as an alternative paradigm to the linear economy. Furthermore, case‐based inductive understanding is discussed through a typological matrix that contains a classification of CE businesses. Overall, the paper attempts to contribute to the management field by describing the development dynamics of CE business models. The case studies, faced with an SD approach, provide insights on implementation mechanisms of CE at a company level and are the basis of new hypotheses generation on circular development and conversion.

Spatial and temporal diffusion of property prices and sales across British regions

Purpose The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions. Design/methodology/approach This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society. Findings Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay. Originality/value The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.

Trends, main economic determinants of the e-mobility in the EU: Additional evidence and verification

The adoption of e-mobility in the countries of the European Union shows significant differences in terms of dynamics of electric car sales and in terms of differences in the share of electric cars in the total fleet of passenger cars in individual Member states. Despite the common European policy of transition to less emission-intensive car drives, the economic performance of countries, as well as other determinants, turn out to be the key drivers of differences in the sales and shares of electric cars on the car fleet within individual countries. In light of these findings, the paper contributes to the existing discussion and knowledge with additional recent findings and how intensive main consensual factors cause differences in the recent electric cars market shares in the EU countries.

State of e-trade market development in the world and in Russia

The article provides an overview of the current state of development of the global e-commerce market, as well as an analysis of the Russian online sales market. Statistical data on the dynamics of international and Russian online sales are presented. The factors contributing to the development of the global e-commerce market, as well as factors slowing down the growth rate of this market in our country, are listed. The most popular marketplaces in Russia are listed and quantitative estimates of transactions made on them are indicated. In addition, further prospects for the development of the Russian e-commerce market are highlighted.

СРАВНИТЕЛЬНЫЙ АНАЛИЗ ЭЛЕКТРОННОЙ КОММЕРЦИИ РОССИИ И КИТАЯ

The article presents a comparative analysis of the development of e-commerce in Russia and China. China, with its vast population and developed digital infrastructure, occupies leading positions globally in terms of B2C internet purchases volume. Russia, on the other hand, ranks ninth. The country is experiencing a rapid growth in interest in online purchases, especially among the youth. During the study, the authors analyze the dynamics of online sales from 2012 to 2022, popular platforms, and the extent of e-commerce penetration into consumers' daily lives. The article also emphasizes that logistics play a crucial role in all of e-commerce and discusses delivery services. The research results enable the identification of similarities and differences in the development of e-commerce in Russia and China.

The current state of the wine market in Russia

This scientific article explores the current state of the winemaking market in Russia. Taking into account changing consumer preferences, economic factors and legislative norms, the authors analyze the current situation of the industry, its dynamics and development prospects. The article analyzes the wine industry. The dynamics of the growth of the viticulture industry, the importance of which lies in providing wine producers with wine materials, is considered. The structure and dynamics of sales of wine products are studied both in Russia as a whole and by region. The problem of import substitution in the Russian wine market is considered. The research is based on the analysis of statistical data and marketing research. The article examines the main market trends, including changes in consumer demand, competitive advantages of various segments and opportunities for the development of new production technologies. The presented analysis will help entrepreneurs, investors and regulators to better understand the current situation in the Russian wine market and make informed strategic decisions for the future. To study the current state of the wine market in Russia, a comprehensive methodological approach was used, including analysis of statistical data, marketing research, interviews with industry experts and analysis of the legislative framework. This approach made it possible to cover various aspects of market dynamics and identify key trends. The scientific novelty of this article lies in an updated analysis of the current state of the wine market in Russia, taking into account the latest trends and changes in the industry. The study includes up-to-date data on consumer preferences, economic factors and legislative impact on the wine market. The conclusions of the article emphasize the increasing demand for high-quality and environmentally friendly wines, the growing interest in local producers and the strengthening of the position of domestic wines in the market. The authors of the article also identified prospects for the development of new production technologies and marketing strategies to attract consumers and investors. In general, the article highlights the importance of adapting the wine industry to changing market conditions and offers practical recommendations for industry participants.

Management of the diversification of a trading company’s activities

The strategy of overcoming the crisis is still relevant for Ukraine’s economy: diversification, entering new areas of business and trade, and searching for risks and alternatives have become important tasks after the full-scale invasion in 2022 and the declaration of martial law. The purpose of this study was to investigate the features of diversification of trading activities in crisis conditions on the example of Ukraine. Using the method of statistical analysis, the most effective and popular methods of risk distribution and features of Ukrainian crisis management were identified. The study proved the effectiveness of such diversification measures as the transition of sales to online formats, the use of postal and courier delivery services, duplication of export routes in the process of developing supply chains during martial law, and the expansion of the range of private label products by retailers. Separately, statistics on the dynamics of sales of dietary supplements in Ukrainian pharmacy chains were analysed and it was proved that sales of this group of products increased during the crisis. Based on the data obtained and the conclusions, the need to tackle corruption and immediately reform the judiciary and tax systems was proved, as these are the actions expected by the Ukrainian business community. Using the modelling, a model of enterprise diversification was created. The practical significance of the study lies in the publication of systematic information on ways of diversification, which can be useful for representatives of business and the economic block of power

Прогнозирование банковских продаж на примере ПАО «Сбербанк»

Introduction. This scientific study highlights the relevance of modeling and forecasting sales of Sberbank in terms of effective business management. Sales forecast is an important tool for predicting the demand for goods and services, as well as determining the adequate strategies and tactics to achieve the company’s goals. The research is distinguished by its reference to artificial intelligence methods in the field of marketing. Forecasting methods applied to a proprietary data sample of Sberbank’s daily sales give novel results, which reliably supports the development of adequate strategies and tactics for successful business management. The key hypothesis of the study is to check the prognostic potential of machine learning methods against the traditional econometric approaches to modeling Sberbank’s sales. The purpose of the study is to develop sales forecasting models for multifunctional products and their practical instruments for Sberbank’s Sales Network Block. Materials and Methods. The study relies on the methods of system-oriented analysis, statistical and economic mathematical methods of data analysis and their processing. Collected and pre-processed sales data for Sberbank’s phantom products reflecting the dynamics of bank sales were used for computational experiments to build a few forecasting models and justify the choice of the best model among those built. Results. Random Forest and Gradient Busting (XGBRegressor) Models used training and test samples to give the forecasts with the accuracy significantly higher than the accuracy of forecasts by ARIMA-model and linear regression. Conclusions. The results of the analysis reliably confirm that machine learning methods are currently promising methods for forecasting bank sales and can be the subject of further research in this area. Machine learning techniques introduced into banking practices have the potential to significantly improve the effectiveness of existing sales and risk management.

Rice growing industry of the Kyzylorda region of Kazakhstan: ways to increase competitiveness

The goal is to analyze the current state of the rice growing industry in the Kyzylorda region and develop recommendations for its further development. Methods – during the study, a systematic approach to data selection, quantitative and qualitative methods, methods of comparison and generalization, logical, statistical, correlation and regression analysis were used. Results - the authors show the importance of the development of rice farming in this region, present the dynamics of rice production and sales, and assess the effectiveness of rice farming in the region. It has been established that in recent years the production of this crop has been declining, and the performance indicators of the rice complex are correspondingly decreasing. Due to the fact that the rice growing sector is characterized by competitive advantages, the article analyzes the level of activity of three competing companies - leaders in this market segment of Kazakhstan. The strengths and weaknesses are identified, as well as the opportunities and threats of the rice growing industry. Conclusions - the importance of rice growing for ensuring food security, social stability and overall economic growth in the country has been proven. The priority is to implement a set of measures to optimize sown areas, use modern technologies and equipment, and introduce innovations to increase the gross yield and yield of rice crop rotations. This traditional field of activity is promising and has export potential. There is a need to increase demand for products, create a system for promoting them to the market in order to increase exports, state support in the reconstruction of rice irrigation systems, subsidizing seed production, updating mechanization equipment, regulatory and methodological support, and personnel training.

Вероятностная модель динамики продаж товара, имеющего ограниченный период ликвидности

A probabilistic approach to accounting the impact of a limited period of liquidity on the volume of goods sales has been developed. The approach is based on the assumption of the random nature of economic factors deter-mining the sales dynamics of goods: production moments, purchases moments, liquidity period, quantity of goods and number of consumers. Analytical expressions for the probability function and expected value of the time dependence of the quantity of sold goods in two cases were found: without taking into account and with taking into account the moments of goods production. Numerical modelling of the dynamics of the expected value of the quantity of sold goods is carried out. It is shown that as the number of buyers grows, the market of goods becomes more and more manageable, as the real dynamics of the quantity of sold goods and the dynamics of the expected value of this quantity cease to differ from each other. The general patterns of the joint effect of the parameters of probabilistic distribution laws of the five economic factors mentioned above on the value and dynamics of the sales volume of goods were determined. Within the framework of the proposed probabilistic model, a time dependence approximating the real dynamics of sales of Lada Vesta cars on the Russian market in the period from October 2015 to May 2023 were found.

ANALYSIS OF NET REVENUE FROM PRODUCT SALES

This publication highlights the methodology for analysis of production net sales revenue. It consistently presents an analysis of the deviation of production net sales revenue for the current period versus the previous period. This deviation is subject to the influence of three direct factors:1) Changes in the natural volume of sold products.2) Changes in the product range structure of sold products.3) Changes in the net sales price of products.The impact of these direct factors may be established both in absolute and in relative terms. For this purpose, the author uses different elements of the method of the financial and business analysis: methods of comparison, adjustment of indicators, subsequent substitution, index method, etc.Analysis is made for the dynamics of production net sales revenue for more years in a row, by identifying both their average dynamics and the variation for the whole period of time. To this end, the author has used the dispersion analysis.The object of research in the article is the net revenue from product sales.The object of study is explained through the methodology for analysis, which is the subject matter of the study presented in the article. The methodology for analysis is complex system of sequentially implemented interconnected stages. The following stages can be distinguished:1) Information provision of the analysis.2) Analysis of the dynamics of net revenue from product sales for the current versus previous period with a multi-product structure of production.3) Analysis of the average annual dynamics of the net revenue from sales of the production for the analyzed period.4) Analysis of the variation of the actual around the average actual net revenue from sales of the production for the analyzed period.5) Analysis of the dynamics of net revenue from product sales by product group.The author’s objective is to suggest improved methodology for analysis of production net sales revenue. The author presents her vision being well aware that the methodology for analysis of production net sales revenue may be successfully used in the business practice for the management of enterprises and their business both in operating and in strategic aspect.The information obtained from the analysis is useful for the financial management of the enterprise for making the right decisions for its development, for achieving market and financial stability and its good positioning in the competitive market.

ПРОБЛЕМИ ТА ПЕРСПЕКТИВИ УПРАВЛІННЯ ПІДПРИЄМСТВАМИ МАШИНОБУДУВАННЯ В КОНКУРЕНТНОМУ СЕРЕДОВИЩІ

The article is devoted to the study of theoretical and applied aspects of enterprise management in a competitive environment. On the basis of existing approaches to the process of managing the competitiveness of industrial enterprises, modern approaches to the effectiveness of such management are considered, and its significance in modern conditions is substantiated. Competitiveness is studied as a fundamental category of the market economy, which directly affects the efficiency of the participants of the competitive environment and ensures the stability of the development of the market mechanism as a whole.
 The dynamics and structure of production of machine-building products in Ukraine during 2015-2022 were analyzed, its strategically important role in the country's economy was proven, despite the insignificant share of machine-building products in the total volume of industrial production and the strengthening of exports of raw materials industries. The presence of a crisis in the field of mechanical engineering has been proven, the causes of the crisis have been identified state of machine-building enterprises. The peculiarities of the functioning of the machine-building market in the conditions of military aggression were studied, the main problems and prospects of its development were determined. The main factors of the external and internal environment, which cause negative dynamics of production volumes and sales of mechanical engineering products of Ukraine, are systematized.
 Measures for the further effective and competitive development of this market for the long term have been determined, which include the development of effective state programs and strategies for the development of the industry, stimulation of innovative development of enterprises and the introduction of the latest technologies to ensure the possibility of manufacturing high-quality high-tech and knowledge-intensive products.

A METHODOLOGY FOR ANALYSIS OF PRODUCTION NET SALES REVENUE WITH REGARD TO THE SALES PROFITABILITY AND THE ENTERPRISE’S LEVEL OF BUSINESS RISK

This publication highlights the methodology for analysis of production net sales revenue. It consistently presents an analysis of the deviation of production net sales revenue for the current period versus the previous period. This deviation is subject to the influence of three direct factors: 1) Changes in the natural volume of sold products. 2) Changes in the product range structure of sold products. 3) Changes in the net sales price of products. The impact of these direct factors may be established both in absolute and in relative terms. For this purpose, the author uses different elements of the method of the financial and business analysis: methods of comparison, adjustment of indicators, subsequent substitution, index method, etc. Analysis is made for the dynamics of production net sales revenue for more years in a row, by identifying both their average dynamics and the variation for the whole period of time. To this end, the author has used the dispersion analysis. The object of this article refers to the production net sales revenue with regard to the sales profitability and the enterprise’s level of business risk. The object of study is explained through the methodology for analysis, which is the subject matter of the study presented in the article. The author’s objective is to suggest improved methodology for analysis of production net sales revenue, profitability of sales and level of business risk for the enterprise. The author presents her vision being well aware that the methodology for analysis of production net sales revenue with regard to their effectiveness (sales profitability) and the level of business risk may be successfully used in the business practice for the management of enterprises and their business both in operating and in strategic aspect. In order to achieve the objective of the study, the following research tasks have been defined: 1) To carry out analysis of the dynamics of production net sales revenue for the analysed time period. 2) To analyse the average annual dynamics of production net sales revenue for the analysed period of 4 years. 3) To carry out analysis of the variation of production net sales revenue. 4) To analyse the sales profitability.

Analytical assessment of honey production and consumption in Ukraine

The article researched the analytical assessment of honey production and consumption in Ukraine. Due to its favorable geogra-phical location and ability to produce high-quality beekeeping products, Ukraine is one of the most potent beekeeping countries in the world for both domestic consumption and export. To achieve the goal of the paper, general scientific methods of research, such as empirical, theoretical, and statistical, were used. There was conducted A review of scientific sources and publications related to the field of beekeeping. The article analyzes the honey market, i.e., scrutinizes the dynamics of the number of bee colonies, dynamics of honey production, the productivity of honey production from 1 bee colony in farms of all categories, enterprises, and households: dynamics of honey sales volume and average sales prices. Market analysis for the recent period includes the evaluation of the war's influence on the branch. The war in the country affects all branches of production, and beekeeping is no exception. There is observed destruction of apiaries and the impossibility of their maintenance in the occupied territories or where active hostilities occur. Damage caused by the war needs large sums of money to restore the beekeeping branch. Honey production is mainly concentrated in households (99% in 2022), and small part of its production belongs to enterprises (1% in 2022). Profitability from honey production in farm enterprises accounted for 3.3% in 2020. There could be an observed decrease since 2000, analyzing the dynamics of honey sales. In 2022, prices for honey increased and accounted for 5330 UAH per center, which is 1.6 times higher than in 2020. In the paper, a regression model was built, where the dependence of the average sales prices of honey from the quantity of sold honey was evaluated. Results confirmed the linkage between signs, i.e., the increase of 1 centner of the quantity of sold honey leads to the average sales prices decreasing by 0.29 UAH per centner. A seasonal factor could be observed, because the volume of sales is increasing and prices for agricultural products are decreasing. Special attention was paid to the production of organic honey, as Ukraine has a significant export potential for this product. Considering the favorable situation in the world market, where the price and demand for such honey is growing on the world market, Ukrainian producers will be able to increase the efficiency of their activities. However, organic beekeeping may also present production and market risks that must be minimized. Keywords: honey, beekeeping, market, production, Ukraine, quality, competitiveness, organic products.

Strategic directions of Ukrainian engineering post-war recovery

Strategic directions of Ukrainian engineering post-war recovery

Innovative Out-of-Stock Prediction System Based on Data History Knowledge Deep Learning Processing

Research and development efforts in the field of commercial applications have invested strategic interest in the design of intelligent systems that correctly handle out-of-stock events. An out-of-stock event refers to a scenario in which such customers do not have the availability of the products they want to buy. This scenario generates important economic damage to the producer and to the commercial store. Addressing the out-of-stock problem is currently of great interest in the commercial field as it would allow limiting the economic damages deriving from these events. Furthermore, in the era of online commerce (e-commerce), it would significantly limit out-of-stock events which show a considerable economic impact in the field. For these reasons, the authors proposed a solution based on deep learning for predicting the residual stock amount of a commercial product based on the intelligent analysis of specific visual–commercial data as well as seasonality. By means of a combined deep pipeline embedding convolutional architecture boosted with a self-attention mechanism and a downstream temporal convolutional network, the authors will be able to predict the remaining stock of a particular commodity. By integrating and interpreting climate/seasonal information, customers’ behavior data, and full history data on the dynamics of commercial sales, it will be possible to estimate the residual stock of a certain product and, therefore, define purchase orders efficiently. An accurate prediction of remaining stocks allows an efficient trade order policy which results in a significant reduction in out-of-stock events. The experimental results confirmed the effectiveness of the proposed approach with an accuracy (in the prediction of the remaining stock of such products) greater than 90%.

DEVELOPED MILITARY ECONOMY AS A COMPONENT OF UKRAINE’S NATIONAL ECONOMIC STRATEGY

Purpose. The principles, strategic goals and directions of the development of the military economy in the structure of the national economy and its influence on the formation of the military-economic policy of the state to ensure its modern military-economic security have been determined. Design/methodology/approach. In the article, the author used the following methods: analysis and synthesis – to analyze modern trends and generalize their impact on the formation and development of the military economy; systemic method – to reveal the essence of the military economy through the prism of the formation of military-economic potential and national security; statistical – for ranking the most powerful armies in the world and outlining the military and economic potential of Ukraine; comparison – to determine the volume and share of military defense expenditures of a number of states and the volume of sales of weapons and military services in the world in a geographical dimension; strategizing – for the formation of strategic goals of the policy of the national economy of Ukraine; generalization – when formulating conclusions and recommendations. Based on a review of the literature, the author determined the goals of analyzing the indicators of military and defense spending among a number of countries in the world, the dynamics of sales of weapons and military services, and substantiated the main defense trends of governments and a number of enterprises of many states. The strategic objectives of the policy of the national economy of Ukraine considered by the author made it possible to form conclusions, the reliability of which is based on the interpretation of the indicators given in the analytical part. Findings. The a proven hypothesis that the level of spending on national defense makes it possible to guarantee a high level of military-economic security, which is the fundamental function of the state. This condition in the military-economic potential can be achieved only thanks to the formation of the military-economic concept of the state, which is based on its historical experience, on the study of similar concepts and practices of states with different economic models, which reflect scientific and technical achievements. Also, the requirement of the present and the future is the need to develop special components in the structure of the military economy of Ukraine: nuclear military industry; rocket engineering; aircraft construction; tank construction; shipbuilding; production of artillery systems, rocket launchers and robotic systems, hypersonic weapons, unmanned aerial vehicles, anti-ship missiles and medium and long-range ballistic missiles; production of small arms and ammunition; production of radar surveillance systems, anti-satellite technologies and weapons with artificial intelligence, etc. This will require a constant increase in the military budget and spending on scientific research, as a certain annual share of Ukraine’s GDP Practical implications. The results of this study are of interest to state authorities, business entities in the field of the defense-industrial complex, who seek to expand and modernize the sphere of the military economy, increase the innovative and technological level of military equipment, weapons and dual-purpose products in accordance with the conditions of competitive markets and ensure employment growth at military industry enterprises. In addition, the results can help scientists of higher education institutions to improve tools for expansion of innovative knowledge and build scientific potential in the field of military technologies. Originality/value. This study emphasizes the peculiarities of the formation of the military economy sector in the structure of the national economy and its impact on the investment and innovation activity of industrial enterprises that produce dual-use products. The outline of the defense trends of governments and a number of enterprises of many states made it possible to form the strategic goals of the policy of the national economy of Ukraine in the defense sphere. Provide recommendations to the authorities regarding the development of the military industry and the adoption of a number of institutional decisions at the state level.

Compliance with the principles of social responsibility in e-commerce

The article defines the essence of e-commerce, as well as the factors that determine its popularity among entrepreneurs, retailers and consumers around the world. The factors that identified the dynamic development of e-commerce in almost all regions of the world have been identified. E-commerce opens up significant opportunities for both the average consumer and business – the rapid development of logistics, the openness of borders, and an almost unlimited contact audience. The article analyzes the trends in the development of this sphere of business in the context of regions of the world is carried out, a ranking of countries by the share of retail sales of e-commerce is presented. It is established that China occupies the leading position, whose share in online trading was 52.1%. In general, it should be noted that the Asia-Pacific region is striking in its pace and scale of development of e-commerce. Stable dynamics of online sales also demonstrate the United States. In Latin America, the e-commerce market is poorly developed and uneven. Only six countries demonstrate sustainable results and transaction volumes (Brazil, Mexico, Colombia, Argentina, Chile, Peru). As for Africa, the e-commerce market is just beginning to grow and is currently significantly behind the world leaders. The main obstacles to the dynamic development of e-commerce are as follows: limited possibilities of logistics of goods, insufficient distribution of the Internet among the population, lack or restriction of access to online payment services and lack/insufficient level of trust in online trading. The rapid development of e-commerce has also gained in European countries. The article determines that in the context of the countries of the world, e-commerce develops disproportionately, there are main players that determine trends and influence the rules of electronic commerce. The dynamic development of e-commerce in Ukraine began in 2016. After joining the Free Trade Area with the EU. The development of e-commerce provides unprecedented means and opportunities for the development of world trade. The study considers indicators for assessing the level of readiness of the country for e-business: the state of basic infrastructure and technologies in the country; availability of the necessary infrastructure; distribution channels and development of other sectors; the level of use of the Internet by private business; awareness and availability of consulting services; quality of specialist training; state regulation. It is specified that the social position of e-commerce should consist in harmonious coexistence, interaction and constant dialogue with society, participation in solving social problems.