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Problems of regulation of Russian stock market

Karlov A.M. Doctor of Engineering, Professor, the Department of Finance and Credit, the Kaliningrad State Technical University ( volvatch@mail.ru )

Volvach E.A. Lecturer of the Department of Finance and Credit, the Kaliningrad State Technical University ( volvatch@mail.ru )

Journal: Finance and Credit, #28, 2013

In the article the analysis of a condition of regulation of stock market is carried out. The new model of regulation - creation of the uniform regulator on the basis of the Federal Service for Financial Markets is offered, its structure and functions are described.


The method of a company dynamic management on the basis of a total value indicator

Karlov A.M. Kaliningrad State Technical University, Kaliningrad, Russian Federation ( Karloff.a@yandex.ru )

Kharin A.G. Kaliningrad State Technical University, Kaliningrad, Russian Federation ( agkharin@yandex.ru )

Journal: Economic Analysis: Theory and Practice, #22, 2014

The article submits an option of practical realization of a value-focused extended approach to business management. The authors describe the way of use of the fuzzy sets theory to choose the right strategy of a company's development on the basis of a total value indicator.


Interregional scientific innovation networks

Ratner S.V. PhD in Economics, leading researcher, Laboratory of Economic Dynamics and Innovation Management, Institute of Control Sciences, Russian Academy of Science, Moscow ( lanarat@mail.ru )

Karlov A.V. Executive Director of fund of development of innovative business «Start» ( karlov2004@gmail.com )

Journal: Regional Economics: Theory and Practice, #44, 2011

One of the most effective modern forms of realization of the nonlinear model of innovation activity, which can maximize externality, is the creation and development of scientific and innovation networks, including inter-regional. Despite the abundance of various objects of innovation infrastructure in Russia, which are so-called networks, the process of formation a complete network structures in science and innovation is still at an early stage. This paper presents the results of developing and testing a mechanism to create multi-level information space of inter-regional scientific and innovation networks using open innovation and crowdsourcing models.


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