IDENTIFICATION AND ASSESSMENT OF LATENT ECONOMIC IMBALANCES OF ENTERPRISES IN THE MULTI-PROJECT ENVIRONMENT OF CONSTRUCTION DEVELOPMENT
DOI:
https://doi.org/10.32782/2786-8273/2026-14-25Keywords:
enterprise, economic diagnostics, construction development, business process, project management, economic resilience, risk, innovation, digitalization, transformation of operational systems, competitiveness, investment, strategy, sustainable developmentAbstract
Introduction. Construction development enterprises implement portfolios of projects that differ in life-cycle stages, capital needs, resource intensity, duration, cash-flow patterns, and risks. Their simultaneous realization creates financial, resource, and operational interdependencies that may generate latent imbalances before they appear in aggregate corporate indicators. Retrospective assessment is therefore insufficient for detecting emerging inconsistencies and locating their sources in a multi-project environment. Purpose. The study aims to develop an applied economic approach to identifying and assessing latent imbalances in construction development enterprises by integrating structural, dynamic, temporal, and inter-project dimensions within the “project — portfolio — enterprise” framework. Methods. The research uses systemic and structural-dynamic analysis, comparison and grouping, indicator normalization, index and ratio methods, analysis of growth-rate gaps and time lags, matrix representation of inter-project dependencies, and integral assessment. Results. A three-level diagnostic framework covering the project, portfolio, and enterprise levels was developed. Six groups of imbalances were identified: financial, resource, investment, operational, temporal, and portfolio. Their detection is based on deviations from admissible parameters, divergence in related indicators, time lags between economic needs and financial coverage, concentration of resource demand, and dependencies among concurrent projects. Partial indices for diagnostic blocks and an integral index were formed to quantify latent imbalances while retaining information on their source and localization. Four diagnostic states were distinguished: parametric consistency, local deviation, interconnected latent imbalance, and systemic imbalance. Conclusion. The proposed approach enables early detection of internal inconsistencies before they develop into systemic instability. It supports the identification of sources and propagation channels, resource reallocation, synchronization of financial flows, adjustment of project priorities, and timely correction of the development portfolio.
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