Keywords: IT project, project management, risk, decision-making, mergers and acquisitions, failure trees, event trees


Studies have been carried out and methods have been proposed to increase the competitiveness of IT companies by improving the quality of their state analysis taking into account stochastic indicators. Growth conditions may provide mergers and acquisitions (M&A). One of the important components of mergers and acquisitions is a qualitative assessment of the value and condition of the company associated with the development of IT. Particularly tangible are the results of a qualitative financial analysis for IT companies whose activities are aimed at the distribution and support of energy resources in a competitive environment of generating and supplying energy companies in the regions. The analysis of the data obtained as a result of the P&L financial report is mainly based on current indicators and can be partially used to prolong economic indicators for a certain (most often limited) period. In this case, the stochastic characteristics of non-interconnected influencing processes are practically not determined and quantitatively not taken into account. Thus, the definition of qualitative indicators of the economic state is most often based on a balanced scorecard (Balanced Scorecard, BSC). The authors propose using methods for evaluating stochastic indicators of IT development processes based on a number of tasks:

1) development and coordination of methods and models that allow for the assessment of influencing indicators in the analysis of the financial condition of the analyzed companies, taking into account the likelihood of the implementation of scenarios of their development;

2) creation of an information model and methods for processing current stochastic data and assessing the probability of the implementation of negative and positive outcomes


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Author Biographies

Yehor Tatarchenko, Volodymyr Dahl East Ukrainian National University

Department of Programming and Mathematics

Volodymyr Lyfar, Volodymyr Dahl East Ukrainian National University

Department of Programming and Mathematics


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How to Cite
Tatarchenko, Y., & Lyfar, V. (2021). MODELS AND METHODS OF SUPPORT DECISION FOR MANAGEMENT OF IT COMPANIES. EUREKA: Physics and Engineering, (4), 3-11.
Computer Science