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