METHODOLOGICAL FRAMEWORK FOR EVALUATING THE EFFECTIVENESS OF MANAGEMENT OF IT ENTERPRISES' COMPETITIVENESS

Keywords: сompetition, competitiveness, competitiveness management, innovative activity, strategic management

Abstract

The purpose of this article is to explore and adapt methodical approaches for assessing the effectiveness of strategic management of competitiveness specifically for IT enterprises within a rapidly changing technological environment. The article emphasizes the necessity of a comprehensive approach that integrates market positioning, management efficiency, and financial performance to ensure organizational adaptability. Methodology of research. To address this topic, the study employs a systematic classification of existing assessment methods, categorizing them into groups that evaluate market advantages, organizational processes, and financial stability. The research utilizes a comparative analysis of modern tools such as OKR, KPI, Balanced Scorecard, and Agile Maturity Assessment to identify their strengths and weaknesses in the context of high-tech industries. Findings. The study reveals that for IT companies, competitiveness is not merely a static level but a dynamic ability to adapt to technological trends and optimize internal Agile processes. It underscores that a "one-size-fits-all" approach is ineffective; instead, the set of assessment methods must vary based on the company's size, resources, and specific digital maturity. Originality. This article contributes to the existing body of knowledge by presenting an original theoretical model for assessing the competitiveness of IT enterprises. The proposed assessment framework integrates market, managerial, and financial metrics into a six-step diagnostic cycle. Unlike traditional static models, this approach prioritizes continuous monitoring of digital maturity and Agile-process efficiency. Practical value. The practical implications of this research are significant for IT managers and strategic planners, providing a structured framework for diagnosing a company's health in a digital tech-ecosystem. Specifically, the article offers actionable insights into using specialized financial metrics like EVA and Cost-to-Income ratio alongside operational agility metrics to support long-term investment in innovations. By applying the proposed model, businesses can enhance their strategic decision-making and maintain a sustainable competitive edge in the global high-tech market.

References

. Sheoran, S., & Vij, S. A review of E-Government assessment frameworks: E-Readiness, Adoption, Citizen Engagement and Quality. JeDEM - eJournal of eDemocracy and Open Government. 2022. Vol. 14, No. 2. P. 197–213. https://doi.org/10.29379/jedem.v14i2.717

МсKinsey & Company. Made to measure: Getting design leadership metrics right. МсKinsey & Company. 2021 URL: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/made-to-measure-getting-design-leadership-metrics-right (дата звернення: 18.02.2026)

Kaplan, R. S., & Norton, D. P. The Balanced Scorecard: Measures that Drive Performance. Harvard Business Review. 1992. Vol. 70, No. 1. P. 71–79. URL: https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2 (дата звернення: 25.02.2026)

Silvia, R., & Wangka, N. Economic value added and market value added as a measuring tool for financial performance. International Journal of Social Science and Business. 2022. Vol. 6, No. 1. P. 135–141. https://doi.org/10.23887/ijssb.v6i1.30371

Deloitte. Agile Transformation. Deloitte. URL: https://www.deloitte.com/cz-sk/en/services/consulting/services/agile-transformation.html (дата звернення: 18.02.2026).

Tubis, A. A. Digital Maturity Assessment Model for the Organizational and Process Dimensions. Sustainability. 2023. Vol. 15, No. 20. https://doi.org/10.3390/su152015122

Teichert, R. A model for assessing digital transformation maturity for service provider organizations. European Journal of Business Science and Technology. 2023. Vol. 9, No. 2. P. 205–230. https://doi.org/10.11118/ejobsat.2023.014

Alizadeh, H., & Foroughi, M. A strategic SWOT analysis of leading electronics companies based on artificial intelligence. International Journal of Business Management and Entrepreneurship. 2023. Vol. 2, No. 3. P. 59–74. URL: https://mbajournal.ir/index.php/IJBME/article/view/42 (дата звернення: 18.02.2026).

Gulomov, I., & Ostonokulov, A. Analysis of the efficiency of enterprise activity based on financial reports. EPRA International Journal of Economics, Business and Management Studies (EBMS). 2023. Vol. 10, No. 7. P. 10–15. https://doi.org/10.36713/epra1013

Rashid, C. A. The efficiency of financial ratios analysis to evaluate company’s profitability. Journal of Global Economics and Business. 2021. Vol. 2, No. 4. P. 119–132. URL: https://www.researchgate.net/publication/348686551_THE_EFFICIENCY_OF_FINANCIAL_RATIOS_ANALYSIS_TO_EVALUATE_COMPANY'S_PROFITABILITY (дата звернення: 18.02.2026)

Sheoran, S., & Vij, S. A review of E-Government assessment frameworks: E-Readiness, Adoption, Citizen Engagement and Quality. JeDEM - eJournal of eDemocracy and Open Government. 2022. Vol. 14, No. 2. P. 197–213. https://doi.org/10.29379/jedem.v14i2.717

МсKinsey & Company. Made to measure: Getting design leadership metrics right. МсKinsey & Company. 2021 Available at: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/made-to-measure-getting-design-leadership-metrics-right (accessed: February 18, 2026).

Kaplan, R. S., & Norton, D. P. The Balanced Scorecard: Measures that Drive Performance. Harvard Business Review. 1992. Vol. 70, No. 1. P. 71–79. Available at: https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2 (accessed: February 18, 2026).

Silvia, R., & Wangka, N. Economic value added and market value added as a measuring tool for financial performance. International Journal of Social Science and Business. 2022. Vol. 6, No. 1. P. 135–141. https://doi.org/10.23887/ijssb.v6i1.30371

Deloitte. Agile Transformation. Deloitte. Available at: https://www.deloitte.com/cz-sk/en/services/consulting/services/agile-transformation.html (accessed: February 18, 2026).

Tubis, A. A. Digital Maturity Assessment Model for the Organizational and Process Dimensions. Sustainability. 2023. Vol. 15, No. 20. https://doi.org/10.3390/su152015122

Teichert, R. A model for assessing digital transformation maturity for service provider organizations. European Journal of Business Science and Technology. 2023. Vol. 9, No. 2. P. 205–230. https://doi.org/10.11118/ejobsat.2023.014

Alizadeh, H., & Foroughi, M. A strategic SWOT analysis of leading electronics companies based on artificial intelligence. International Journal of Business Management and Entrepreneurship. 2023. Vol. 2, No. 3. P. 59–74. Available at: https://mbajournal.ir/index.php/IJBME/article/view/42 (accessed: February 18, 2026).

Gulomov, I., & Ostonokulov, A. Analysis of the efficiency of enterprise activity based on financial reports. EPRA International Journal of Economics, Business and Management Studies (EBMS). 2023. Vol. 10, No. 7. P. 10–15. https://doi.org/10.36713/epra1013

Rashid, C. A. The efficiency of financial ratios analysis to evaluate company’s profitability. Journal of Global Economics and Business. 2021. Vol. 2, No. 4. P. 119–132. Available at: https://www.researchgate.net/publication/348686551_THE_EFFICIENCY_OF_FINANCIAL_RATIOS_ANALYSIS_TO_EVALUATE_COMPANY'S_PROFITABILITY (accessed: February 18, 2026).

Article views: 7
PDF Downloads: 3
Published
2026-03-11
How to Cite
Prozhohin, D. (2026). METHODOLOGICAL FRAMEWORK FOR EVALUATING THE EFFECTIVENESS OF MANAGEMENT OF IT ENTERPRISES’ COMPETITIVENESS. Economy and Society, (83). https://doi.org/10.32782/2524-0072/2026-83-85