Object: decision-making processes while ensuring the effectiveness of IT companies' management; objective: increase the profitability of IT companies by supporting the most rational decisions by developing and using information technology, models and methods of risk assessment of the current state of companies; methods: the work is based on methods of analysis of complex systems, decision theory, graph theory, mathematical logic, optimization methods, methods of estimating the probability of events. To solve the problems that arise in the development of methods for assessing economic risk used the general principles of decision-making systems, methods of modeling interconnected systems and systems analysis; methods of graph theory, fuzzy set theory, probability theory were used to model the state of risk in conditions of uncertainty; methods of mathematical modeling, data processing by methods of mathematical statistics were used for modeling of causal relations; the theory of relational databases, methods of object-oriented programming are used; novelty: a new proposed information model and methods of analyzing the state of IT companies and projects to support multiple decisions, which, unlike existing methods of economic analysis allow to take into account stochastic risk indicators of decisions, by analyzing the cause-and-effect relationships of possible events and their consequences; Mathematical models have been developed to determine the level of risk consequences of decisions made on the state and development of IT companies.; further developed data methods and models of financial assessments, adjustment of economic risk, which takes into account the reliability and effectiveness of IT company management, preventive decisions and impacts on possible losses, based on a strategy of balanced performance; P&L (profit & loss report) methods of financial statements and M&A (mergers and acquisitions) of mergers and acquisitions, taking into account the probabilities of possible and expected gains and losses; further developed: model of rational Pareto decision-making from many competing uncertainties, based on a comparative analysis of various probable states of IT objects in the balance of profits and losses, which allows them to be used at all stages of the life cycle of IT projects; method of planning the reduction of possible losses in the application of mergers and acquisitions, which allows to justify the methods of managing the development of IT companies; research results: substantiated and developed models and methods, data structures, parameters and criteria that allow to implement the process of estimating the probability of losses and profits using information technology to support decision-making in ensuring the development of IT companies (implementation acts); developed software modules to determine quantitative risk indicators of economic development of IT companies, based on mathematical models of causal relationships between stochastic indicators that characterize the level of competitive development of companies and the consequences of influential events, which is the basis for decision-making and models allowed to perform a number of work in the management of mergers and acquisitions of IT companies; performed work on the implementation of the results of dissertation research in the processes of mergers and acquisitions. Implemented the development in the scope of the relevant requirements to the developed DSS for the management of IT companies; the branch: information technology.
