Methodological Approach to Assessing the Efficiency and Resilience of Integrated Automotive Service Enterprises

This peer-reviewed research article proposes a methodological approach to assessing the efficiency and resilience of integrated automotive service enterprises operating in transitional economies. Building on a structural model that combines technical, procurement, and customer-related components, the study develops a system of indicators designed to evaluate the internal coherence of business processes and the overall stability of the enterprise. The article introduces a framework based on three analytical dimensions applied to each component: functional efficiency, operational stability, and inter-component coordination. Particular emphasis is placed on the role of coordination as a central factor determining system performance, as the effectiveness of the enterprise depends not only on the quality of individual elements but also on their alignment within a unified operational structure. A formalized model is presented that includes partial indices for each component and an integrated resilience index incorporating a coordination coefficient. This approach enables the identification of structural imbalances within the enterprise and provides a tool for diagnosing system states, including coordinated, strained, and unbalanced conditions. The study also examines the influence of external and institutional factors on enterprise performance, demonstrating how market conditions, resource constraints, and regulatory environments are transformed into internal process disruptions. Special attention is given to the role of managerial decision-making in maintaining system balance under conditions of uncertainty and limited resources. The findings suggest that the assessment of small business performance in transitional economies requires a shift from traditional financial indicators toward structural analysis of process interaction. The proposed methodology enables early detection of systemic risks and supports more informed managerial decision-making in complex and unstable environments. The version deposited in Zenodo corresponds to the peer-reviewed scholarly publication and reflects the author’s original research without substantive modification.