AN INTEGRATED ALGORITHM FOR ASSESSING THE ECONOMIC POTENTIAL AND RESOURCE PROVISION OF SERVICE ENTERPRISES: A METHODOLOGICAL FRAMEWORK WITH ILLUSTRATIVE APPLICATION

Service enterprises build their economic potential on physical and technical resources, infrastructure, finance, market position, and development prospects. These factors are usually analyzed separately, which makes it difficult to compare enterprises and to set priorities for development. This study aims to propose a transparent, reproducible algorithm that aggregates ten dimensions of economic potential into one integral index and explicitly documents normalization, weighting, and aggregation choices. The framework contains ten dimensions: real estate and territorial infrastructure, transport and logistics infrastructure, transport vehicles and special equipment, equipment and software, marketing and market opportunities, financial opportunities, material resources and inventories, energy and utility infrastructure, security and continuity, and investment and expansion opportunities. Each dimension is measured by a sub-index that is a weighted sum of normalized indicators. Indicators are normalized with min-max scaling, weights are derived using the Analytic Hierarchy Process (AHP), and the dimension sub-indices are aggregated into the integral index. A numerical procedure is demonstrated on hypothetical values. The algorithm is fully specified, with formulas, normalization rules for degenerate cases (zero range), a consistency check for AHP weights, and a sensitivity-analysis step. The illustrative calculation with ten hypothetical sub-indices gives an integral index of 61.4 on a 0–100 scale. No empirical enterprise data were analyzed in this version. The framework provides a consistent method for comparing service enterprises. Its practical value depends on empirical validation with enterprise data, which is the next step of the research.

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