ACS Applied Computer Science

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INFORMATION MODEL OF SYSTEM OF SUPPORT OF DECISION MAKING DURING MANAGEMENT OF IT COMPANIES

An information model has been carried out, with the help of which it is possible to implement methods that ensure the growth of competitiveness of IT companies. Growth conditions for companies provide mergers and acquisitions (M&A). 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. The authors propose using methods for assessing stochastic indicators of IT development processes based on the solution of a number of problems: (1) Development of models to assess the impact of indicators in the analysis of the financial condition of companies; (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.

  • APA 6th style
Tatarchenko, Y., Lyfar, V., & Tatarchenko, H. (2020). Information model of system of support of decision making during management of it companies. Applied Computer Science, 16(1), 85-94. doi:10.23743/acs-2020-07
  • Chicago style
Tatarchenko, Yehor, Volodymyr Lyfar, and Halyna Tatarchenko. "Information Model of System of Support of Decision Making During Management of It Companies." Applied Computer Science 16, no. 1 (2020): 85-94.
  • IEEE style
Y. Tatarchenko, V. Lyfar, and H. Tatarchenko, "Information model of system of support of decision making during management of it companies," Applied Computer Science, vol. 16, no. 1, pp. 85-94, 2020, doi: 10.23743/acs-2020-07.
  • Vancouver style
Tatarchenko Y, Lyfar V, Tatarchenko H. Information model of system of support of decision making during management of it companies. Applied Computer Science. 2020;16(1):85-94.