445 research outputs found
Temporal model for assessing the quality of public services
The material about the use of business processes to determine the quality of receiving services in a public institution is presents in article. It is proposed to take into account when obtaining a quality not only qualitative assessments, which are connected with the expert assessment and customer opinion and quantitative related to the timing of execution of business processes by employees. Shown mathematical expressions that allow build an automated quality evaluation system
Temporal model for assessing the quality of public services
The material about the use of business processes to determine the quality of receiving services in a public institution is presents in article. It is proposed to take into account when obtaining a quality not only qualitative assessments, which are connected with the expert assessment and customer opinion and quantitative related to the timing of execution of business processes by employees. Shown mathematical expressions that allow build an automated quality evaluation system
System for Monitoring the Quality of Services Provided by a Public Institution Based on Business Processes
Monitoring the quality of the services provided by public institutions is an important element in improving the effectiveness of the entire system of public services in the Russian Federation. As a rule, monitoring is associated with obtaining quantitative indicators of the level of satisfaction of citizens which characterize the quality of services provided. Monitoring results are the basis for modernizing the service management system. However, this approach allows us to evaluate only one side of the process by which a public institution renders services to the consumer of services (citizens). The other side of the issue is related to monitoring the processes of the institution itself. This direction also allows us to find approaches to improving the quality of service delivery, and to make the work of a state institution more efficient.
This article describes the methodology for monitoring the process of providing services in a public institution based on business processes. The description of the activity of the institution in terms of the implementation of services is presented in the form of a set of business processes. It is shown that the main element of business processes that can be measured is the time of their implementation. On this basis, a mathematical model for assessing the quality of public service delivery is constructed, including both qualitative assessments (obtained from experts and clients of the institution) and quantitative assessments of the quality of service delivery based on measuring the time of business processes. The quantitative aspect of the proposed methodology is directly related to the main direction declared by the Government of the Russian Federation β the development of digital economy. As an example, the article considers such a state institution as the Social Insurance Fund of the Russian Federation
Comparative analysis of state support for agricultural producers in Russia and in the world
Despite numerous trade disputes within the World Trade Organization (WTO) regarding the overestimation of the support level for agriculture by individual countries of the world, subsidizing farmers by their own governments not only does not decrease, but also tends to increase in general. In the conditions of the WTO member countries open markets, the world countries food security, including Russia, largely depends not only on the competitiveness of their own agriculture, but also on the support of their own agricultural sector commensurate with other states. Based on this, it is an urgent task to track the scale of state influence on the industry in other countries in order to avoid excessive competition of imported products. Thus, the purpose of the article is to study the dynamics of state support for agriculture in the countries of the world based on the Organization for Economic Cooperation and Development (OECD) data. The results of the work are detailed information on the comparative level of state support for the agro-industrial complex in the countries of the world, and the amount of support for the Russian agricultural industry corresponds to the world average. To process the information received in order to present the results of the work as accessible as possible, tabular and graphical methods are used
Development of Electronic Painting Guidelines as an Element of Virtual Workshops
Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ, ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΠΈ ΡΡΠ»ΠΎΠ²ΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΠΎΡΠΎΠ±ΠΈΡ ΠΏΠΎ Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π΅ Β«ΠΠΈΠ²ΠΎΠΏΠΈΡΡΒ» Π΄Π»Ρ ΠΎΠ±ΡΡΠ°ΡΡΠΈΡ
ΡΡ Π² Π‘ΠΠ.The article discusses the features, principles and conditions for the development of an electronic manual for the discipline "Painting" for students in open source software
Π‘ΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΌΠΈΡΠΎΠ²ΡΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ ΠΠΈΡΠ°Ρ
The purpose of the study is to assess the possible impact of patterns and trends in the development of foreign investment activity of China on the prospects of Russian-Chinese economic cooperation in this area, including in terms of support for the Russian energy sector. The relevance of the study is due to the growing influence of the Peopleβs Republic of China in solving global economic and political issues, as well as the importance of its role as a strategic partner of the Russian Federation, which makes it necessary to assess future prospects.The research methods are methods of analyzing time series, including identifying trends, as well as assessing the structure and structural shifts to obtain an overall picture of the structural transformations of foreign direct investment of China in regional and sectoral sections.The results of the study. Chinese foreign direct investment in the last two decades has been characterized by an intensive growth in volumes, resistant to global economic crises; analysis of their geographical structure demonstrates the constancy of such a feature as maximizing the opportunities of global offshore zones and countries granting privileges to foreign investors; the sectoral structure of Chinese foreign direct investment has certain patterns of change that are consistent with the goals and objectives of economic development ofΒ China set by five-year plans, which makes it possible to predict and find solutions in the field of Russian-Chinese cooperation; a trend has been identified to increase the attention of Chinese investors to the issue of capital formation in the Russian economy. In addition, an assessment of the analytical capabilities provided to users by the official statistics of China in terms of information about investment processes is given.Conclusion. Statistical analysis of the indicators of foreign investment activity of China over a long period of time allows us to evaluate and characterize its strategic behavior as one of the worldβs largest investors, focused primarily on solving the problems of developing its own economy and its global expansion in the long term. The significance of such studies will now increase, given the importance of the development of foreign economic relations with China for the Russian Federation based on the increased potential of interaction between the two countries in recent years.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΠΎΡΠ΅Π½ΠΊΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ Π²Π»ΠΈΡΠ½ΠΈΡ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠ΅ΠΉ ΠΈ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΠΎΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΠΈΡΠ°Ρ Π½Π° ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Ρ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎ-ΠΊΠΈΡΠ°ΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π° Π² ΡΡΠΎΠΉ ΡΡΠ΅ΡΠ΅, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ Π² ΡΠ°ΡΡΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ° Π ΠΎΡΡΠΈΠΈ. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° ΡΠ°ΡΡΡΡΠΈΠΌ Π²Π»ΠΈΡΠ½ΠΈΠ΅ΠΌ ΠΠΈΡΠ°ΠΉΡΠΊΠΎΠΉ ΠΠ°ΡΠΎΠ΄Π½ΠΎΠΉ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠΈ ΠΌΠΈΡΠΎΠ²ΡΡ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΎΠΏΡΠΎΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ Π²Π°ΠΆΠ½ΠΎΡΡΡΡ Π΅Π³ΠΎ ΡΠΎΠ»ΠΈ ΠΊΠ°ΠΊ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠ°ΡΡΠ½Π΅ΡΠ° Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ, Π²ΡΠ·ΡΠ²Π°Π΅Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΎΡΠ΅Π½ΠΊΠΈ Π±ΡΠ΄ΡΡΠΈΡ
ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ².ΠΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ Π°Π½Π°Π»ΠΈΠ·Π° Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΡΠ΄ΠΎΠ², Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅, Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΡΠΊΡΡΡΡ ΠΈ ΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΡΠ΄Π²ΠΈΠ³ΠΎΠ² Π΄Π»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΉ ΠΊΠ°ΡΡΠΈΠ½Ρ ΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡΡΠΌΡΡ
ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ ΠΠΈΡΠ°Ρ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΈ ΠΎΡΡΠ°ΡΠ»Π΅Π²ΡΡ
ΡΠ°Π·ΡΠ΅Π·Π°Ρ
.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΊΠΈΡΠ°ΠΉΡΠΊΠΈΠ΅ ΠΏΡΡΠΌΡΠ΅ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΈ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π΄Π²Π° Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΡΠΌ ΡΠΎΡΡΠΎΠΌ ΠΎΠ±ΡΠ΅ΠΌΠΎΠ², ΡΡΡΠΎΠΉΡΠΈΠ²ΡΠΌ ΠΊ ΠΌΠΈΡΠΎΠ²ΡΠΌ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΊΡΠΈΠ·ΠΈΡΠ°ΠΌ; Π°Π½Π°Π»ΠΈΠ· ΠΈΡ
Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΡΠΊΡΡΡΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΠ΅Ρ ΠΏΠΎΡΡΠΎΡΠ½ΡΡΠ²ΠΎ ΡΠ°ΠΊΠΎΠΉ ΡΠ΅ΡΡΡ ΠΊΠ°ΠΊ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΠΌΠΈΡΠΎΠ²ΡΡ
ΠΎΡΡΡΠΎΡΠ½ΡΡ
Π·ΠΎΠ½ ΠΈ ΡΡΡΠ°Π½, ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»ΡΡΡΠΈΡ
ΠΏΡΠΈΠ²ΠΈΠ»Π΅Π³ΠΈΠΈ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΠΌ ΠΈΠ½Π²Π΅ΡΡΠΎΡΠ°ΠΌ; ΠΎΡΡΠ°ΡΠ»Π΅Π²Π°Ρ ΡΡΡΡΠΊΡΡΡΠ° ΠΊΠΈΡΠ°ΠΉΡΠΊΠΈΡ
ΠΏΡΡΠΌΡΡ
ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ ΠΈΠΌΠ΅Π΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΠ΅ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠΈ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ,Β ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠΎΠ³Π»Π°ΡΡΡΡΡΡ Ρ ΡΠ΅Π»ΡΠΌΠΈ ΠΈ Π·Π°Π΄Π°ΡΠ°ΠΌΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΠΈΡΠ°Ρ, Π·Π°Π΄Π°Π²Π°Π΅ΠΌΡΡ
ΠΏΡΡΠΈΠ»Π΅ΡΠ½ΠΈΠΌΠΈ ΠΏΠ»Π°Π½Π°ΠΌΠΈ, ΡΡΠΎ Π΄Π°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΠΎΠΈΡΠΊΠ° ΡΠ΅ΡΠ΅Π½ΠΈΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠΎΡΡΠΈΠΉΡΠΊΠΎ-ΠΊΠΈΡΠ°ΠΉΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΡΠ΄Π½ΠΈΡΠ΅ΡΡΠ²Π°; Π²ΡΡΠ²Π»Π΅Π½Π° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊ ΡΡΠΈΠ»Π΅Π½ΠΈΡ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ ΠΊΠΈΡΠ°ΠΉΡΠΊΠΈΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² ΠΊ Π²ΠΎΠΏΡΠΎΡΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅. ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, Π΄Π°Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌ ΠΎΡΠΈΡΠΈΠ°Π»ΡΠ½Π°Ρ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ° ΠΠΈΡΠ°Ρ Π² ΡΠ°ΡΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎΠ± ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ
.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅: ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΠΎΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΠΈΡΠ°Ρ Π·Π° ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΏΡΠΎΠΌΠ΅ΠΆΡΡΠΎΠΊ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΡΠ΅Π½ΠΈΡΡ ΠΈ Π΄Π°ΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΡ Π΅Π³ΠΎ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΊΠ°ΠΊ ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠ· ΠΊΡΡΠΏΠ½Π΅ΠΉΡΠΈΡ
ΠΌΠΈΡΠΎΠ²ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ², ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ, ΠΏΡΠ΅ΠΆΠ΄Π΅ Π²ΡΠ΅Π³ΠΎ, Π½Π° ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π·Π°Π΄Π°Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ ΠΈ Π΅Π΅ ΠΌΠΈΡΠΎΠ²ΠΎΠΉ ΡΠΊΡΠΏΠ°Π½ΡΠΈΠΈ Π² Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΠΎΠΉ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π΅. ΠΠ½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠ°ΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ Π±ΡΠ΄Π΅Ρ Π²ΠΎΠ·ΡΠ°ΡΡΠ°ΡΡ, ΡΡΠΈΡΡΠ²Π°Ρ Π²Π°ΠΆΠ½ΠΎΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π²Π½Π΅ΡΠ½Π΅ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ Ρ ΠΠΈΡΠ°Π΅ΠΌ Π΄Π»Ρ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π²ΠΎΠ·ΡΠΎΡΡΠ΅Π³ΠΎ Π·Π° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»Π° Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ Π΄Π²ΡΡ
ΡΡΡΠ°Π½
Modeling Business Processes of the Social Insurance Fund in Information System Runa WFE
Introduction - Business processes are gradually becoming a tool that allows you at a new level to put employees or to make more efficient document management system. In these directions the main work, and presents the largest possible number of publications. However, business processes are still poorly implemented in public institutions, where it is very difficult to formalize the main existing processes. Us attempts to build a system of business processes for such state agencies as the Russian social insurance Fund (SIF), where virtually all of the processes, when different inputs have the same output: public service. The parameters of the state services (as a rule, time limits) are set by state laws and regulations. The article provides a brief overview of the FSS, the formulation of requirements to business processes, the justification of the choice of software for modeling business processes and create models of work in the system Runa WFE and optimization models one of the main business processes of the FSS. The result of the work of Runa WFE is an optimized model of the business process of FSS
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ Π½Π΅ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ Π°ΠΊΡΠΈΠ²ΠΎΠ² Π½Π° ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΡΡ ΡΠΈΡΠ΅ΠΉΠ»Π΅ΡΠΎΠ² Π² ΡΠ΅Π»ΡΡ ΠΈΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠΎΡΡΠ°
The objective of the research in the article is the food retail companies that occupy leading positions in the Russian and foreign markets. The subject of the study is financial and economic relations in the field of the use of intangible assets (IA) as a significant factor in increasing the capitalization of food retailers and their sustainable development. The relevance of the problem is due, on the one hand, to the significant contribution of trade to the countryβs GDP, on the other hand, to the need to find new drivers for the sustainable development of food retailers in the context of overcoming the negative consequences of the pandemic and the digital economy. The purpose of the study is to assess the impact of the value of intangible assets on the capitalization of food retailers. The authors applied the methods of comparative analysis, calculation of financial and economic indicators, correlation, and regression analysis of statistical data processing. The authors used Studentβs t-test and Fisherβs f-test to confirm the quality of the constructed model. The study shows that Russian food retailers, as compared to foreign ones, occupy a smaller market share in the domestic economy and have a smaller share of intangible assets in the non-current assets of companies (except for X5 Retail Group). On the Russian food market, a trend has been revealed towards an increase in the production of goods under private labels and a decrease in the presence of foreign retailers, as well as an increase in the share of online trading that requires the use of intellectual property, including digital intangible assets, and leads to an increase in cash flows. Based on multivariate correlation analysis, it was found that the capitalization of trading companies in the food sector is most affected by the value of intangible assets and return on them. The constructed model of linear two-factor regression allows the authors to conclude that with an increase in the value of intangible assets by 1%, the market capitalization of a company increases by 10% with a constant return on assets. The article provides recommendations for Russian food retailers on the formation and use of a portfolio of intangible assets for value-based business management, which will contribute to their sustainable development.ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΡΡΡΡΠΏΠ°ΡΡ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΎΠΉ ΡΠΎΠ·Π½ΠΈΡΠ½ΠΎΠΉ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ Π·Π°Π½ΠΈΠΌΠ°ΡΡ Π»ΠΈΠ΄ΠΈΡΡΡΡΠΈΠ΅ ΠΏΠΎΠ·ΠΈΡΠΈΠΈ Π½Π° ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΡΡΠ½ΠΊΠ°Ρ
. ΠΡΠ΅Π΄ΠΌΠ΅ΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΡΡΡΡ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π½Π΅ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² (ΠΠΠ) ΠΊΠ°ΠΊ Π·Π½Π°ΡΠΈΠΌΠΎΠ³ΠΎ ΡΠ°ΠΊΡΠΎΡΠ° ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΡΡ
ΡΠΈΡΠ΅ΠΉΠ»Π΅ΡΠΎΠ² ΠΈ ΠΈΡ
ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠΎΡΡΠ°. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΡΠΈΠΊΠΈ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π°, Ρ ΠΎΠ΄Π½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Ρ, ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌ Π²ΠΊΠ»Π°Π΄ΠΎΠΌ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Π² ΠΠΠ ΡΡΡΠ°Π½Ρ, Ρ Π΄ΡΡΠ³ΠΎΠΉ β Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ ΠΏΠΎΠΈΡΠΊΠ° Π½ΠΎΠ²ΡΡ
Π΄ΡΠ°ΠΉΠ²Π΅ΡΠΎΠ² ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΡΡ
ΡΠΈΡΠ΅ΠΉΠ»Π΅ΡΠΎΠ² Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ Π½Π΅Π³Π°ΡΠΈΠ²Π½ΡΡ
ΠΏΠΎΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠΉ ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ ΠΈ ΡΠΈΡΡΠΎΠ²ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΠΎΡΠ΅Π½ΠΊΠ΅ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ Π½Π΅ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² Π½Π° ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΡΡ
ΡΠΈΡΠ΅ΠΉΠ»Π΅ΡΠΎΠ². ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, ΡΠ°ΡΡΠ΅ΡΠ° ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ, ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎ-ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π΄Π°Π½Π½ΡΡ
. ΠΠ»Ρ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° t-ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ° Π‘ΡΡΡΠ΄Π΅Π½ΡΠ° ΠΈ F-ΠΊΡΠΈΡΠ΅ΡΠΈΠΉ Π€ΠΈΡΠ΅ΡΠ°. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΠ΅ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΡΠ΅ ΡΠΈΡΠ΅ΠΉΠ»Π΅ΡΡ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠΌΠΈ Π·Π°Π½ΠΈΠΌΠ°ΡΡ ΠΌΠ΅Π½ΡΡΡΡ Π΄ΠΎΠ»Ρ ΡΡΠ½ΠΊΠ° Π² ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ΅ ΠΈ ΠΈΠΌΠ΅ΡΡ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΡΡ Π΄ΠΎΠ»Ρ ΠΠΠ Π² ΡΠΎΡΡΠ°Π²Π΅ Π²Π½Π΅ΠΎΠ±ΠΎΡΠΎΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ (Π·Π° ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Π₯5 Retail Group). ΠΡΡΠ²Π»Π΅Π½Π° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ Π½Π° ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΌ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΎΠΌ ΡΡΠ½ΠΊΠ΅ ΠΊ ΡΠΎΡΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΡΠΎΠ²Π°ΡΠΎΠ² ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΠΌΠ°ΡΠΎΠΊ ΠΈ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ ΠΏΡΠΈΡΡΡΡΡΠ²ΠΈΡ ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΡΡ
ΡΠΈΡΠ΅ΠΉΠ»Π΅ΡΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΠΊ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ Π΄ΠΎΠ»ΠΈ ΡΠΎΡΠ³ΠΎΠ²Π»ΠΈ Π² ΠΎΠ½Π»Π°ΠΉΠ½-ΡΠΎΡΠΌΠ°ΡΠ΅, ΡΡΠΎ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΡΠΈΡΡΠΎΠ²ΡΡ
Π½Π΅ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ², ΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΠΎΡΡΡ Π΄Π΅Π½Π΅ΠΆΠ½ΡΡ
ΠΏΠΎΡΠΎΠΊΠΎΠ². ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠ½ΠΎΠ³ΠΎΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π½Π° ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΠΎΡΠ³ΠΎΠ²ΡΡ
ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ ΠΏΡΠΎΠ΄ΠΎΠ²ΠΎΠ»ΡΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ° Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ΅Π΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΡΡΠΎΠΈΠΌΠΎΡΡΡ Π½Π΅ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² ΠΈ ΠΈΡ
ΡΠ΅Π½ΡΠ°Π±Π΅Π»ΡΠ½ΠΎΡΡΡ. ΠΠΎΡΡΡΠΎΠ΅Π½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ Π΄Π²ΡΡ
ΡΠ°ΠΊΡΠΎΡΠ½ΠΎΠΉ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ΄Π΅Π»Π°ΡΡ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ Ρ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ Π½Π΅ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² Π½Π° 1% ΡΡΠ½ΠΎΡΠ½Π°Ρ ΠΊΠ°ΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π΅Ρ Π½Π° 10% ΠΏΡΠΈ Π½Π΅ΠΈΠ·ΠΌΠ΅Π½Π½ΠΎΠΉ ΡΠ΅Π½ΡΠ°Π±Π΅Π»ΡΠ½ΠΎΡΡΠΈ Π°ΠΊΡΠΈΠ²ΠΎΠ². ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ Π΄Π»Ρ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΡΡ
ΡΠΈΡΠ΅ΠΉΠ»Π΅ΡΠΎΠ² ΠΏΠΎ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎΡΡΡΠ΅Π»Ρ Π½Π΅ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
Π°ΠΊΡΠΈΠ²ΠΎΠ² Π΄Π»Ρ ΡΡΠΎΠΈΠΌΠΎΡΡΠ½ΠΎ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π±ΠΈΠ·Π½Π΅ΡΠΎΠΌ, ΡΡΠΎ Π±ΡΠ΄Π΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΈΡ
ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠΌΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ
Event-driven simulation of the state institution activity for the service provision based on business processes
The paper presents an approach, based on business processes, assessment and control of the state of the state institution, the social insurance Fund. The paper describes the application of business processes, such as items with clear measurable parameters that need to be determined, controlled and changed for management. The example of one of the business processes of the state institutions, which shows the ability to solve management tasks, is given. The authors of the paper demonstrate the possibility of applying the mathematical apparatus of imitative simulation for solving management tasks
Gender semiology in folklore traditions: Russia, China and Adygea
The article presents an analytical analysis of the linguosemiotic features of the female portrait in the folklore fund of the linguocultures of Russia, the North Caucasus and China in the aspect of the intergender dichotomy "male-female" as the implementation of the policy of "soft power" of the ethnos to preserve its vitality. Hypothesis: The dichotomy of masculinity and femininity in traditional culture is presented as the result of the interaction of ethno-cultural strategies of the ancestral cult, in which the role of a woman is defined as the keeper of the knowledge of the people with the competencies of a housewife who needs help and care from a man. The relevance of the study is due to the growing research interest in the vitality of traditional cultures, which continue to influence the lives of modern women. Chinese, Adyghe and Russian folklore for the first time becomes the object of comparative analysis of the linguosemiotic characteristics of the image of femininity in the form of "feminine" folkloratives identified for the first time. The methodology uses a linguosemiotic approach and the theory of complex metagraphs in modeling the speech-behavioral gender matrix of women through the prism of folklore. The results show that folklore is a reproducible mechanism of "soft power" of gender regulation in the ethno-cultural practice of folk art
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