Проблема формирования инновационного стиля мышления управленческих кадров в сфере сервиса
We consider the realization of the development strategy for the university in the context of global, national and regional trends. We show how the implementation of innovative forms of educational process and research work of teachers and students, co-operation with key partners are able to turn a new school in a leading regional university of socio-economic profile.
Articles published in the colection were presented at an international scientific conference (name and specified on the cover). The texts contain the results of scientific work of autors in the field of science which is indicated on the cover/
The article is dedicated to fiscal incentives for business angels. Business angel, a comparatively new phenomenon in Russia, is defined in the first part of the article. The second part is a research of fiscal incentives intended for private investors in order to encourage them to support small innovative enterprises. The research is based on European and North American experience. Finally, the third part suggests the ways of creating a system of fiscal incentives for business angels in Russia.
The Working Paper examines the peculiarities of the Russian model of corporate governance and control in the banking sector. The study relies upon theoretical as well as applied research of corporate governance in Russian commercial banks featuring different forms of ownership. We focus on real interests of all stakeholders, namely bank and stock market regulators, bank owners, investors, top managers and other insiders. The Anglo-American concept of corporate governance, based on agency theory and implying outside investors’ control over banks through stock market, is found to bear limited relevance. We suggest some ways of overcoming the gap between formal institutions of governance and the real life.
Soft Computing (SC) is a consortium of fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC) and parts of machine learning theory (ML). SC is the foundation for computational intelligence and is leading to the development of numerous hybrid intelligent information, control and decision-making systems. The methodology of computing with words (CW) is an important event in the evolution of cognitive science, natural language processing, artificial intelligence, and different existing scientific theories. This is because CW can enrich the existing scientific theories and the above-mentioned science fields giving them the capability of using natural languages to operate on perception-based information, not only measurement-based information. Indeed in many real-world problems in natural sciences as well as in industrial engineering, economics, and business, often there is a need to deal with both perception and measurement based information. In the case of perception based information, the available information is not precise enough to justify the use of numbers. Such information is usually described in natural languages rather than in strict (idealized) mathematical expressions. So a strong need has appeared for a new approach, theory and technology for the development of knowledge representation, computing, and reasoning tools that allow creation of systems with high MIQ. The sessions of the ICSCCW-2011 will focus on the development and application of Soft Computing technology and computing with words paradigm in system analysis, decision and control.
UK corporate tax reform, corporate tax in Russia and tax relief system were considered and described in the article. Also it was made an attempt to apply UK experience of innovative activity encouragement through corporate tax regulation to Russian economy.