информационный кластер

Improving of Russian Economy Competitive by Forming Information Clusters	Introduction. Knowledge and the subjects whose activity results in increased knowledge play an important role in the modern economy, including information clusters. Theory. The “competitive region — competitive state” relationship is often considered in the design of clusters. Analysis. The information cluster, allowing for its specificity, should be macroeconomic, considered at the country level. Results. The structure of a competitive economy, developed by the author, allows one to consider macroeconomic clusters as a basis to ensure and improve the country’s competitiveness and to consider competitive business entities as a framework determining the competitiveness of the region and the country. In today’s Russian Federation, the formation of clusters goes quite active, with the support of governmental agencies; however, the number of clusters is not high enough, many spheres of activity and regions being clustered poorly. Conclusions. Russian information clusters should be formed to promote a knowledge economy and an increase of knowledge to design a framework for improving the competitiveness of businesses, regions, and the country in the whole.	Izv. Sarat. Univ. Economics. Management. Law, 2013, vol. 13, iss. 2
Тhe Algorithm of Formation of Informational Cluster	Now cluster approach is one of the most effective ways of management of subjects of economy and their associations, allowing to gain synergetic effect. Theoretical part. Information cluster as a form of association of subjects of economy for the purpose of an increment of knowledge possesses distinctive characteristics that results in need of development of algorithm of education and functioning of information cluster taking into account specifics of functioning of this cluster and is more whole than its creation. Existing algorithms of formation of a cluster are focused on traditional forms of a clustering of economic subjects and in case of their application to information clusters, demand a specification taking into account as the general, and private specifics of a cluster. Results of research. Formation of information cluster can be conditionally divided into stages: preparatory (definition of opportunity and an assessment of expediency of formation of information cluster), the main (formation of model of information cluster), finishing (development of the mechanism of creation and cluster functioning). Conclusions. Realization of the offered algorithm will allow to create information cluster with the certain organizational and institutional structure which creation will be comprehensively proved, and functioning will be directed on achievement of the objectives of a cluster and its separate elements, increase of competitiveness of national economy and the region.	Izv. Sarat. Univ. Economics. Management. Law, 2013, vol. 13, iss. 4(2)