An integrated multi-criteria framework for assessing enterprise competitiveness

2026

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DOI 10.46914/1562-2959-2026-1-2-644-658
Data confidence 70 medium
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Abstract

The study proposes an integrated analytical framework for assessing the competitiveness of service enterprises based on multi-criteria evaluation, inflation-adjusted price analysis, and time-series forecasting. To account for price dynamics, inflation data for 2012–2025 were used to calculate cumulative inflation coefficients and reconstruct historical price trends. Competitiveness was assessed using an integral indicator that aggregates price and non-price factors, including pricing policy, range and quality of services, discount systems, frequency of visits, and brand image, enabling an objective comparison of enterprises. Revenue forecasting for 2026–2030 was performed using the ARIMA model, allowing the identification of medium-term development trends under changing market conditions. The results demonstrate that low pricing represents only a short-term competitive advantage, while sustainable market leadership is achieved through the balanced development of multiple competitiveness parameters. Unlike traditional descriptive competitiveness assessments, the proposed approach includes a formalized optimization component that identifies the combination of managerial parameters maximizing the enterprise competitiveness index under economic and operational constraints. The study’s practical significance lies in developing a versatile competitiveness index, adaptable across industries, to guide strategic planning, optimize resources, strengthen market positions, and enhance investment attractiveness.