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Accounting logistics (Analytical presentation of accounting)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: International Accounting, #14, 2014

The article presents a formal analytical model of accounting logistics. Abstract basis is the vector space model which is the system of accounts forms a basis. The author describes the structure of funds in the organization accounts by the system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems organization. The author proves that analogues models and methodology of accounting logistics are not in literature.


Accounting logistics (analytical presentation of accounting) (end of article)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: Financial Analytics: Science and Experience, #14, 2014

The article considers formal analytical model of accounting logistics. Abstract basis is the vector space model. The system of accounts forms is a basis of the vector space. The author describes the structure of funds in the accounts of the organization by the system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems organization. Analogues models and methodology of accounting logistics are not found in literature.


Accounting logistics (analytical presentation of accounting) (to be continued)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: Financial Analytics: Science and Experience, #13, 2014

The article presents a formal analytical model of accounting logistics. Abstract basis is the vector space model which is the system of accounts forms a basis. The author describes the structure of funds in the organization accounts by the system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems organization. The author proves that analogues models and methodology of accounting logistics are not in literature.


Accounting logistics (analytical presentation of accounting)

Kuznetsov L.A. Lipetsk branch of Russian Presidential Academy of National Economy and Public Administration, Lipetsk, Lipetsk region, Russian Federation ( Kuznetsov.leonid48@gmail.com )

Journal: International Accounting, #15, 2014

The article considers a formal analytical model of accounting logistics. The abstract basis of it is a vector space model, the background of which is formed by the system of accounts. The author describes a structure of funds in the accounts of an organization with a system of equations, which are turnovers and balances of accounts. The model is a formal basis for developing management systems by an organization. Any analogues of the model and methodology of accounting logistics have not been detected in publications.


Methods and models of financial ensure of innovation enterprises accounting to account the investment risks

Abdikeev N.M. Doctor of Technical Sciences, Professor, Deputy Pro-Rector for Scientific and Innovative Development, the Financial University under the Government of the Russian Federation ( n_abd@mail.ru )

Grineva N.V. PhD in Economic Sciences, Associate Professor, the Department of Modeling of Economic and Information Systems, the Financial University under the Government of the Russian Federation ( n_grineva@list.ru )

Kuznetsov N.V. PhD of Technical Sciences, Chief of the Department of Innovative Development, the Financial University under the Government of the Russian Federation ( n_v_kuznetsov@hotmail.com )

Journal: Financial Analytics: Science and Experience, #23, 2013

In the article risks of innovative projects are investigated and the special feature of data of risks and their classification is given. Special positions occupy the risks of the results of intellectual activity for their subsequent commercialization. It is proposed the model of the estimation of the effectiveness of investments in the innovative projects. It includes the estimation of the values of the basic indices of risk in the initial stage of the fulfillment of project and in the dynamics.


A Neural Network Analysis of the Fixed Capital Investment Trends in Regions of the Russian Federation

Kuznetsov Yu.A. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( Kuznetsov_YuA@iee.unn.ru )

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( perova_vi@mail.ru )

Lastochkina E.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( mmep@iee.unn.ru )

Journal: Digest Finance, #3, 2017

Importance The article considers the changes in and characteristics of the investment activities and behavior of the Russian Federation regions.
Objectives The article aims to analyze and describe the trends and characteristics of fixed capital investment behavior of the Russian Federation regions to ensure the economic growth and socio-economic development of the country and regions.
Methods We examine the regions' investment activities for the period from 2012 through 2014 using the neural modeling methodology on the basis of thirteen indicators characterizing the investment activities of the regions and defining their socio-economic development prospects. We also apply the Self Organizing Map using the STATISTICA software. Data of the Federal State Statistics Service of Russia on fixed investment by type of economic activity in the regions underlie our study.
Results The paper shows certain characteristics and peculiarities of the investment performance and behavior of the Russian Federation regions.
Conclusions and Relevance The cluster analysis of the Russian Federation regions' investment activities shows their uneven nature. The findings indicate the need for comprehensive measures to help change the structure of the investments involved and stimulate investment activity in all regions of the Russian Federation.


A neural network analysis of the fixed capital investment behavior of regions of the Russian Federation

Kuznetsov Yu.A. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( Kuznetsov_YuA@iee.unn.ru )

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( perova_vi@mail.ru )

Lastochkina E.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( mmep@iee.unn.ru )

Journal: Regional Economics: Theory and Pactice, #7, 2017

Subject The article considers the changes in and characteristics of the investment activities and behavior of the Russian Federation regions.
Objectives The article aims to analyze and describe the trends and characteristics of fixed capital investment behavior of the Russian Federation regions to ensure the economic growth and socio-economic development of the country and regions.
Methods We examine the regions' investment activities for the period from 2012 through 2014 using the neural modeling methodology on the basis of thirteen indicators characterizing the investment activities of the regions and defining their socio-economic development prospects. We also apply the Self Organizing Map using the STATISTICA software. Data of the Federal State Statistics Service of Russia on fixed investment by type of economic activity in the regions is the basis of our study.
Results The paper shows certain characteristics and peculiarities of the investment performance and behavior of the Russian Federation regions.
Conclusions The cluster analysis of the Russian Federation regions' investment activities shows their uneven nature. The results obtained indicate the need for comprehensive measures to help change the structure of the investments involved and stimulate investment activity in all regions of the Russian Federation.


Social and economic development of the Syrian Arab Republic during the pre-crisis period: A retrospective analysis

Kuznetsov Yu.A. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( Kuznetsov_YuA@iee.unn.ru )

Perova V.I. National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( perova_vi@mail.ru )

Waddah Al Jarad. c National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russian Federation ( waddah.ja@gmail.com )

Journal: Economic Analysis: Theory and Practice, #7, 2017

Subject The article reviews the specifics of economic development of the Syrian Arab Republic during the pre-crisis period.
Objectives The purpose of the study is to analyze and describe trends in the economic development of the Syrian Arab Republic to define its actual economic situation during the pre-crisis period and prospects for economic advancement and social progress of the entire country and its certain provinces subject to peaceful development.
Methods We employ neural simulation based on indicators characterizing the economic condition of the country as a whole and its certain provinces. The research tools include self-organizing maps based on Deductor analytical platform.
Results The paper reveals major trends in GDP, focuses on economic restructuring of the Syrian Arab Republic. Based on five indicators of economic activity of provinces in the private sector, we performed a cluster analysis of their development. It shows that in 2007–2010, fourteen provinces were divided into three groups (clusters). We describe the composition and characteristics of each cluster, show changes in indicators of province development by clusters. The forecast for 2011–2017 is quite optimistic as long as peace is maintained.
Conclusions and Relevance The revealed specific features of socio-economic status of the Syrian Arab Republic before 2011 are indicative of unrealized opportunities for the country's economy since then.


Social and economic and marketing components of consumer behavior

Kuznetsov N.G. Doctor of Economics, professor, rector, manager. Head of «Economic theory» Chair, Rostov State University of Economics (RINH) ( rector@rsue.ru )

Journal: National Interests: Priorities and Security, #36, 2011

The article "Socio-economic and marketing components of consumer behavior," deals with some aspects of the complex set of socio-economic relations emerging around the production, distribution and consumption of material goods. The author provides that motivated consumer behavior has a pronounced economic orientation.


Modeling of updatingof factors of manufacture

Kuznetsov S.B. candidate of physics and mathematical sciences, associate professor of chair economy state regulation, Siberian Academy of Public Administration ( sbk@ngs.ru )

Journal: Economic Analysis: Theory and Practice, #40, 2010

The factors of production are most important functional components of the economies, whose successful interaction leads to an increase in the welfare of state. The equation of the simulation of the rate of the development of the factors of production taking into account the influence of economic medium is obtained. Is determined the economic number, which is been the characteristic of the level of the development of national economy.


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