Diagnostic regimes of construction enterprise operations: identifying transitions from economic equilibrium to a resilience deficit

Abstract

Abstract

The article supports a regime-based approach to economic diagnostics in a construction enterprise, aimed at identifying transitions from economic equilibrium to a resilience deficit before conventional crisis indicators become critical. The purpose is to formalize diagnostic operating regimes and the logic of transitions between them using financial, resource, operational-temporal, and portfolio parameters. The methodological framework combines systems and threshold approaches, normalization of heterogeneous indicators, dynamic trajectory analysis, and early-warning logic. The enterprise state is represented by normalized adequacy ratios that compare actual values with economically justified critical boundaries. We propose a resilience reserve as the minimum distance of the weakest parameter from its threshold. To distinguish local deviation from systemic deterioration, we also introduce the breadth of violated constraints and the velocity of reserve erosion. We identify four regimes: economic equilibrium, erosion of equilibrium, local imbalance, and resilience deficit. A transition pressure index combines the depth of the weakest deficit, the share of violated constraints, and the speed of negative dynamics. The scientific novelty lies in shifting the diagnostic focus from static classification to identifying the direction and intensity of regime transitions, which makes it possible to distinguish a temporary disturbance from a systemic loss of shock-absorption capacity. The practical significance lies in differentiated response protocols: protecting liquidity buffers, revising payment and procurement schedules, reserving critical resources, reprioritizing the project portfolio, limiting new commitments, and stress testing. Further research should focus on empirically calibrating critical boundaries and index weights, estimating regime-transition probabilities, and validating the model using panel data from construction enterprises. Keywords: construction enterprise; economic equilibrium; economic resilience; resilience deficit; diagnostic regime; financial diagnostics; resource sufficiency; early warning.