Methods of risk minimization in investment and construction projects

Scientific Research and Development. Socio-Humanitarian Research and Technology

2021

A weighty argument in favor of including the new educational area «Big Data» in the practice of professional training of the future economist is the competence in the field of building adequate predictive models, which is in demand in the modern labor market. Indeed, any leader is interested in improving the quality of the decisions made. This interest increases in conditions of sanctions pressure and post-pandemic restrictions, in difficult socio-economic conditions, when most of the resources are limited, the previously identified cause-and-effect relationships lose their relevance and the responsibility for decisions is significantly increased. Features of the implementation of the technological approach to disclosing the content of the new educational area «Big Data» in the system of professional training of the future economist is presented in this article as follows: firstly, in the form of a system of micro-goals at the basic level, and secondly, in the form of a system of micro-goals at an advanced level. Thus, within the framework of the technological goal-setting of the content of the new educational field, the principle of variability of the professional training of the future economist is implemented. Substantively presented in the article micro-goals cover various issues of using quantitative methods, mathematical and computational modeling. In addition, the formulations of micro-goals include requirements for the development of new tools that support big data analysis. Note that the implementation of technological goal-setting is necessary to strengthen the applied orientation of the training of a future economist, allows us to make a methodological emphasis on applied problems of socio-economic topics, the methods of solving which are in demand in future professional activities. The material of the article can be useful to teachers of the higher school of economics, as well as to anyone interested in modern methodological approaches to structuring educational content and achievements in the field of big data.

Technological Goal-Setting in The framework of the New Educational Area «Big Data» for the System of Professional Training of the Future Economist

Scientific Research and Development. Socio-Humanitarian Research and Technology

2021

Quantitative Analysis of the Camera Market Based on the Integrated Application Of game-Theoretic and Econometric Approaches

Scientific Research and Development. Economics of the Firm

Karasev

Синчуков

2021

This article contains a quantitative analysis of the camera market and discloses the possibilities of comprehensive application of quantitative analysis and theoretical game modeling in the practice of making decisions in the field of the photo industry. It is noted that almost any phenomenon in the financial and economic sphere requires a thorough and comprehensive assessment, and the method of analyzing data in the form of dynamic series and theoretical and game models is most in demand in the conditions of actualization of risks of various nature. It is shown that the analysis of the dynamic series allows you to evaluate and predict the development of the economic situation, to form recommendations for making managerial decisions. Particular attention is paid to the construction and analysis of the basic game model of the manufacturer's choice of camera equipment for the time of launch of products to the market, taking into account projected demand. The inclusion of the risk factor in the process of quantitative analysis of the camera market helps to improve the quality of decisions made, in particular when choosing marketing strategies.

Construction and Study of a Game-Theoretic Model of Interaction Between Manufacturers of SLR Cameras, Taking into Account Forecasting Demand

Scientific Research and Development. Economics

2021

The article discloses the mechanisms for constructing and researching a theoretical and game model of interaction between manufacturers of SLR cameras taking into account demand forecasting. The need for the use of theoretical and game modeling of an advanced level, taking into account the predicted values of demand for mirror photographic equipment, as well as the dynamics of demand for a new photo product, is justified. In order to study the phenomenon of competitive interaction of manufacturers of SLR cameras, a comprehensive application of econometric analysis and theoretical game modeling was implemented. It is noted that this approach can be widely used in the practice of making decisions in the field of the photo industry. Particular attention is paid to the analysis of the advanced game model of the choice by the manufacturer of camera equipment of the time of bringing new photo products to the market. In the process of analyzing the game model, maximax criteria, Laplace criterion, Wald criterion, Sevij criterion, Hurwitz criterion and Hodge Lehman criterion are used. Comprehensive analysis of the game model, supplemented by meaningful interpretations, contributes to improving the quality of decisions made in the photographic technology market, including when choosing marketing strategies for the promotion of photographers in the context of mainstreaming the risks of various nature and the limitations of the pandemic.