Improving the model for assessing the competitiveness of IT companies in a dynamically changing economy

The study is devoted to the analysis of key performance indicators of leading IT companies in order to assess their level of competitiveness. In modern conditions, the development of IT technologies underlies the production of high-­tech products and contributes to strengthening the technological sovereignty of the country. The developers of such technologies are primarily leading IT companies. Constant monitoring of functioning companies helps to identify the most effective among them. The tool proposed in the article for assessing the level of competitiveness of an organization is a modified SWOT analysis, which, in our opinion, compensates for the disadvantages of classical SWOT analysis, and is also more informative for data analysis. A significant disadvantage of classical SOWT analysis is that it is built only at the time of the last, current research period. At the same time, the dynamics of changes over the previous period is not analyzed. The dynamic SWOT analysis takes into account the current state of companies and plays a key role in the retrospective state. The proposed modified SWOT analysis makes it possible to track the competitiveness of companies in terms of limited but key performance indicators of the company in dynamics. At the same time, it is possible to select the desired evaluation metric and the analysis period. In the absence of the necessary statistical data on the company’s activities, this choice partially solves the problem. The proposed study provides an analysis of the dynamics of the state of companies in the IT sector, although our proposed approach to assessing the competitiveness of a company can be applied to other sectors of the economy. Considering a larger number of performance indicators of companies, as well as external factors, will improve the proposed methodology. The proposed method for analyzing the level of competitiveness of companies is made clear in a study based on SWOT diagrams constructed using the mathplotlib library in Python.