This paper scrutinizes main determinants of competitiveness and sustainable growth of priority industries in Uzbekistan. In particular, it investigates issues of rationale for strategic prioritization of industries within the structure of national economy by touching upon effective mechanisms that lend support in attracting foreign direct investment into these industries. The author concludes that the main strategic goal of industrial development of Uzbekistan should be not only reaching high rates of growth in this sector, but it should also involve relevant steps to develop priority industries which requires more rational use of untapped natural resource wealth of the country, formation of its modern structure, and boosting the competitiveness of country’s manufacturing industries in world markets.

The article analyzes global strategic trends in the development of the fishing industry, whose most important role in terms of the successful development of society is increasingly recognized. For a number of priorities and indicators, the leading countries in the production, export and import of fish and fish products are indicated. The strategic vector of development of the fishing industry in Russia as a whole and, in particular, the Russian Far East has been substantiated. The competitive advantage of the region is the best resource base among all regions of Russia. The main objects of the fishing industry of Russia, determining its competitiveness in the global market, are concentrated in the Kamchatka Territory, Sakhalin Region, Primorsky and Khabarovsk Territories. The level of development of the productive forces of the fishing industry of the Far Eastern Federal District predetermines the role of  Russia in the most important economic space of the world – the Asia-Pacific region, where, since 1992, leaders of the fishing industry have been localized. The problem of realizing the strategic potential of the fisheries complex in Russia is complicated by the lack of capacity of the fishing fleet, port infrastructure, refrigeration and storage facilities onshore, and coastal fish processing plants.

Key concepts for assessing the feasibility of the implementation and calculation of the performance of specific economic, socio-economic events or technical (technological) of the project are the related costs and useful results. Therefore, in all cases, the implementation of investment projects should talk about their effectiveness and the principles of its evaluation. The article formulates the correct content of the concepts of «costs», «results», «efficiency» in various (stationary and non-stationary) conditions, provides algorithms for calculating the efficiency. The most important typical mistakes made in the practice of Russian project investment analysis are analyzed. The presentation of the problem is conducted in coordination with the text of fundamental monographs [1–2], normative documents [3], as well as with a number of domestic and foreign monographs, immanent in content to the specifics of the Russian economy.

The concept of the digital economy greatly simplifies the solution of multi-criteria choice problems in an innovative environment, in particular, when an economic assessment of the investment attractiveness of a number of enterprise projects with a set of varied in a wide range of technical indicators and commercialization indicators is necessary. Based on the example of small innovative enterprises based on the results of their own scientific and technical research in the field of petrochemical chemistry, a model for the formation of investment portfolios is compiled, taking into account the impact of costs on an improved set of product technical characteristics and the relevance of the level of these characteristics by the investor. The choice of projects from the field of petrochemical chemistry is due to the high importance of this sector both in the economy of individual regions, as the most flexible and at the same time self-sufficient economic system, for example, the Republic of Tatarstan, and at the national and global level. The presence of own scientific developments of the co-author of the article in the field of petrochemical and chemical cluster provides a close relationship of the economic component of innovative projects with variation of all possible technical and technological characteristics of an innovative product in a wide range, depending on investors’ requirements. In addition to traditional applications, the complex of transparent high-strength polymers and polymers with non-stick properties, based on the principles and mechanisms of anionic (co) polymerization of cyclic carbonates with isocyanate-containing compounds under conditions of anionic initiation, gained interest in space technologies, technologies of nano-sized particles and liquid crystals, which requires the search for new methods of synthesis and digital on-line interrelation of the changing costs of the project with its economic efficiency.

Article is devoted to problems of diagnostics of factors of the environment of functioning
of the enterprise. In article the following questions are considered: theoretical aspects of diagnostics estimating communications of key indicators of overall performance of the enterprise and it are more whole; the place and a role of diagnostics in an enterprise management system on the basis of value-oriented approach; identification of set of the indicators necessary and sufficient for adequate assessment of an economic situation of the enterprise. Authors suggest to add to a traditional algorithm of economic diagnostics assessment of the existing condition of the enterprise on the basis of the system of the indicators setting priznakovy space in the chosen system of coordinates. At selection of economic indicators it is offered to form a triangular matrix of correlation interrelations and an auxiliary matrix of correlation interrelations. The developed system of diagnostics of a condition of the enterprise, is carried out on the following algorithm: creation of a vector of economic coefficients; establishment of critical values for the chosen economic indicators; assessment of coefficients on the established standard values; designing of an estimated vector; measurement of length of a vector and determination of optimum value; assessment of an economic situation in the enterprise.

In the age of information technology, characterized by a large amount of current data, the process of processing and structuring information has become particularly relevant. The basic approach for selecting information in the context of an information explosion should be the principle of sufficiency, i.e. information should be no more and no less, it should be enough to make a decision. After all, excessive information leads to informational noise and the risk of
making the wrong decision. The correct and accurate formulation of the problem is the first and necessary stage of any system research. An important methodological issue is the need to identify the following relationships: a tool for realizing the goal, when it is most effective, what is the cost of its implementation and profitability, and the last question is the reverse return from this tool.

The emerging problems are usually distinguished by the degree of their structuring: by clarity, by the awareness of their formulation, by the degree of their specification and specification, by the ratio of quantitative and qualitative factors. Considering this, there are three classes of problems: well-structured and quantitatively structured, poorly structured or mixed problems, unstructured or qualitative problems.

And the last methodological problem is how to determine the criteria and indicators for achieving the goal, whether it is necessary to have a standard approach to determining the fulfillment of the goal or to take into account possible changes during the period of the fulfillment of the goal and correlate them to real changes that have occurred. The article proposes a 9-stage management decision making algorithm. It is shown that for poorly formalized tasks an effective tool is the method of qualitative modeling of complex organizational structures.

This work proposes to forecast the Realized Volatility (RV) and the Value-at-Risk (VaR) of the most liquid Russian stocks using GARCH, ARFIMA and HAR models, including both the implied volatility computed from options prices and Google Trends data. The in-sample analysis showed that only the implied volatility had a significant effect on the realized volatility across most stocks and estimated models, whereas Google Trends did not have any significant effect. The outof-sample analysis highlighted that models including the implied volatility improved their forecasting performances, whereas models including internet search activity worsened their performances in several cases. Moreover, simple HAR and ARFIMA models without additional regressors often reported the best forecasts for the daily realized volatility and for the daily Value-at-Risk at the 1 % probability level, thus showing that efficiency gains more than compensate any possible model misspecifications and parameters biases. Our empirical evidence shows that, in the case of Russian stocks, Google Trends does not capture any additional information already included in the implied volatility.

This article discusses the issues of the sales system of enterprises, diagnostics of production and sales activities of organizations. The theoretical aspect of the organization of the sales system is investigated, in particular, the process of product sales, the procedures for organizing production and sales activities, the issues of organizing sales policy, and distribution channels are investigated. Sales systems are investigated as complex and multi-stage, with their own characteristics in various sectors of the economy. It was revealed, that in the backbone sector of the national economy – ferrous metallurgy, there are some peculiarities related to the specific use of raw materials and technologies. This also affects the choice of diagnosis of the organization’s sales activities. The article describes the indicators, used in the diagnosis of production and marketing activities of organizations. The considered system of indicators reflects the qualitative and quantitative estimates of the side of the organization. It is shown, that modern sales systems are very diverse and are formed under the influence of certain conditions and factors. The importance of analyzing the diagnostics of the results of the production and sales activities of organizations is emphasized, since it represents the reflection and influence on its overall performance.

Automation of enterprise management on the basis of economic and mathematical models, information technology is one of the main stages of development for all enterprises. The use of cognitive modeling allows making management decisions under uncertainty. The article considers the construction of an experimental model of automation of production accounting of material flows based on the use of fuzzy cognitive maps. The algorithm of cognitive modeling is presented. The main advantages of cognitive tools are noted: 1) the ability to study the fine structure of management decisions (the necessary sequence of management actions, the necessary degree of activity of these actions, the study of the dynamic stability of strategies, etc.); 2) the opportunity to explore the dynamics of management decisions at a qualitative level, without attracting for this purpose hard-to-access and not always reliable quantitative information, which is extremely important in a rapidly changing business environment and the growing pace of technological innovation.

It is emphasized that none of the known management support tools has the above capabilities. Cognitive dynamic analysis significantly expands the tool base of management, based today mainly on the means of static situational analysis and prescription schemes of decision-making.

In the construction of the experimental model, the target factors of the cognitive map are determined, the connectivity analysis is carried out and the process of propagation of disturbances on the graph is studied.

The analysis showed that the proposed model is quite efficient and can be used to predict economic activity and determine the expected values of a number of parameters that need to be monitored to diagnose trends in the development of an industrial enterprise. The results of the work should be considered as a solution to a number of management tasks.

The fishery complex is one of the most significant in Russia, as it solves a number of extremely important issues: ensuring the country’s food security; synergistic effect of related industries (priority in shipbuilding and onshore production); obtaining export earnings (fishing companies catch more than people in our country can consume). However, Russia does not produce a number of goods for deep processing of fish, despite the availability of the resource base and the consumption market. One such product is a minced fish surimi, on the basis of which is preparing a lot of seafood. This article is devoted to the study and analysis of the world market and the production of surimi, as well as the actual topic of improving the competitiveness of seafood. The theoretical basis of this work is the methodology of strategic management in the global marketplace, developed by Dr. Vladimir Kvint. As a result of the analysis, it was determined that the main resource constraints of production in Russia are technological and technical aspects. In the country, the fishing plants tried to produce surimi from pollock, but they have not yet led to a sustainable positive result. The attention is also focused on market segments that may be of interest to potential Russian manufacturers. In addition, the article highlights the most promising areas that need to be developed for strategic leadership in the industry.

The article deals with the issues of spatial mobility of the population in the regions of the Russian Federation. The relevance of the study is determined by the increasing importance of these processes to ensure the sustainable development of the country as a whole and its individual territories. The aim of the research is the formation of an economic-mathematical model of population migration in the regions of the Russian Federation, taking into account the cumulative impact of multidirectional indicators of socio-economic development. To achieve this goal, a statistical analysis was carried out to identify the correlation between the indicators characterizing the dynamics of migration processes and the socio-economic development of Russian regions. In addition, the methods of structural analysis, analysis of the dynamics, methods of economic and mathematical modeling were used. The conducted clustering allows you to visually see the imbalance of migration processes between the western and eastern parts of the country. Based on the analysis of statistical data, a list of twenty-four indicators (including those characterizing economic development, social security, public finances, demographic situation, etc.) that have a significant impact on migration processes in the regions of Russia was determined. An algorithm for determining the integral indicators, taking into account the degree of «multidirectionality» of particular parameters, is proposed. The proposed approach has been tested on data from the federal districts of the Russian Federation, in particular, a set of regression equations has been developed, describing the relationship between the values of the integral indicators of various spheres of society and the coefficients of migration growth. The scientific novelty of the proposed approach lies in the implementation of a comprehensive interdisciplinary view of the problem under consideration using formalized modeling methods and tools, which allow to quantify possible scenarios for the evolution of socio-economic and demographic processes, calculate their impact on the transformation of the territorial settlement system in the long term. The results can be used to make decisions in the field of demographic policy and management of regional development in the Russian Federation.