FUNDAMENTALS OF SCALE VALUE OF INFORMATION AND TECHNOLOGICAL ENTERPRISES ON THE BASIS OF CLUSTERIZATION

The study for the first time highlighted the scale value at certain stages of development through clustering. It is noted that among the various types of scales that relate directly to the economic dimensions, the public sector of the economy (PSE) is the most extensive, because it is through its evaluation that the efficiency of the state's economic resources is correctly established. In particular, the scale of PSE can be assessed from two positions: 1) through indicators of stocks and flows; 2) through absolute and relative values. It is specified that the volume of state ownership is a stock of resources owned by the state; the amount of government revenues and expenditures is the flow of funds that are mobilized and spent by the state for the period under study. It is proposed and substantiated that the scale of performance is intertwined with the needs, which basically form a scale value. Scale value (SV) is a measure of the possibility of meeting a need, based on generally accepted value priorities (benchmarks) or important for a given individual potential or realized requests (expectations). Moreover, the SV can act at different hierarchical levels: from an individual to the state or their aggregates. SV is a value in active development, when it draws into its own environment the demands of additional consumers, educating and exacerbating in them the manifestation of its root cause. For the first time, the place of state-creative patriotism of nation (a quantitative feature of which are taxes) was singled out in SV, because the citizen's motive for his SV clearly shows the desire not just to pay taxes, but to create a civilized state. In fact, the manifestation of a positive change in the taxpayer's SV also affects the price parameters of tax administration, as they are reduced, providing increased efficiency in the use of budget resources. The choice of the number of clusters in the system of information technology (IT) enterprises for the evaluation of SV in them was made on the basis of comparing the results obtained by the method of the elbow and the assessment of the silhouette, providing management capabilities. It is noted that the clustering error and the number of iterations of the value approach in the system of analysis of IT enterprises depends on the initial choice of centroids, based on this launch of k-means several times with different initial candidates for centroids. An algorithm for selecting strategic directions for the development of the IT sphere, based on SV and the clustering process, is proposed.