Abstract: The article examines the integration of performance marketing tools into companies’ business models as a factor in sales growth and improved operational efficiency. It explores the evolution of marketing practices from media-oriented approaches to end-to-end models of sales funnel management based on metrics and retention indicators. It analyzes the role of end-to-end analytics, integration of marketing, product and financial data, as well as data architecture in building management circuits that ensure a transparent link between marketing investments and financial results. It substantiates that the use of algorithmic buying, attribution models and real-time budget reallocation contributes to a reduction in the share of ineffective channels and an increase in the return on marketing investments.

Abstract: The article examines adaptive management models for enterprises operating across multiple regulatory environments. The study focuses on the impact of regulatory heterogeneity on managerial complexity and analyzes governance configurations, coordination mechanisms, and adaptive capabilities that support regulatory responsiveness. It is demonstrated that standardized management approaches are insufficient in multi-regulatory contexts, as effective adaptation requires a balanced combination of centralized control, localized regulatory adjustment, and cross-jurisdictional coordination. The findings highlight that adaptive management functions as a dynamic organizational capability that enables enterprises to maintain strategic coherence, compliance, and operational efficiency under conditions of regulatory diversity and uncertainty.

Abstract: This article examines category analysis as a tool for cost optimization in the procurement activities of construction organizations. The theoretical basis for the formation of product categories is investigated, which is based on a multifactor assessment of cost, criticality, and risks, as well as their relationship with the enterprise’s expenditure structure. The difference of this approach from traditional cost accounting is analyzed. The use of the Kraljic matrix, ABC/XYZ methods and the total cost of ownership concept for selecting differentiated procurement strategies by resource categories is substantiated. It is shown that the systematization of the expenditure structure and the classification of resources according to cost and demand parameters make it possible to increase the transparency of procurement, reduce total costs and at the same time strengthen the operational resilience of projects under conditions of price and logistics volatility.

Abstract: The article examines a contemporary approach to corporate financial risk management with an emphasis on scenario-based resilience modelling and the evaluation of investment decisions under uncertainty. It analyses the classification of financial risks, including credit, interest-rate, currency and operational risks, as well as their relationship with macroeconomic and technological factors. The study highlights the importance of a formalised analytical framework incorporating stress testing, sensitivity analysis and predictive modelling techniques such as NPV, IRR and Monte Carlo simulation. Practical examples of the scenario-based approach in corporate financial policy are also discussed. The article concludes by emphasising the need to integrate risk management into strategic and investment planning to strengthen corporate resilience and adaptability in a multi-scenario external environment.

Abstract: The article analyzes the institutional efficiency of decision-making in hybrid public–private economic systems, focusing on the role of governance structures, coordination mechanisms, and institutional constraints. It is shown that decision-making efficiency in hybrid environments cannot be adequately evaluated using outcome-based indicators alone, as it depends on procedural characteristics, information transparency, accountability arrangements, and the alignment of institutional processes. The study systematizes key institutional configurations and sectoral contexts affecting decision-making efficiency and proposes an indicator-based framework for assessing decision-making processes across hybrid governance models. The findings emphasize that sustainable efficiency requires continuous institutional adaptation and periodic reassessment of governance arrangements.

Abstract: The article explores modern organizational models of building maintenance – in-house, outsourcing (single-/multi-vendor), Integrated and Total Facility Management (IFM/TFM), co-sourcing, and shared service centers – within the context of digital transformation in the construction industry. It analyzes the application of digital tools (CMMS, BMS, BIM, IoT) and their impact on key performance indicators: reliability (MTTR, MTBF), operational efficiency (SLA compliance, share of preventive maintenance), and operating costs (OPEX per square meter). The study emphasizes the importance of digital maturity as a critical factor influencing the successful implementation of each model. Based on a comparison of normalized KPIs and industry benchmarks, the paper concludes with the necessity of a flexible, stratified approach to selecting a maintenance model, considering asset type, digital infrastructure maturity, and building life-cycle performance targets.

Abstract: The article analyzes economic governance mechanisms in multi-subsidiary corporate structures with a focus on decision-making authority, incentive alignment, coordination intensity, internal control, and resource allocation processes. It is shown that governance effectiveness depends on the internal configuration of economic mechanisms rather than on formal organizational structures alone. Balanced governance arrangements combining centralized strategic oversight with delegated operational authority are identified as a key condition for improving decision-making consistency and strategic coherence. The study emphasizes the role of incentive alignment and coordination mechanisms in reducing agency-related risks and enhancing governance stability. The findings suggest that effective economic governance in multi-subsidiary structures requires continuous institutional adaptation in response to organizational complexity and changing environmental conditions.

Abstract: The article examines managerial analytics as a tool for improving resource allocation efficiency in medium-sized enterprises. The study focuses on the role of analytics maturity, analytical methods, and data integration in supporting managerial decision-making under resource constraints and environmental uncertainty. It is demonstrated that higher levels of analytics maturity enable a transition from reactive budgeting to dynamic and forecast-driven resource allocation. Integrated analytical frameworks reduce decision-making uncertainty, enhance transparency of resource constraints, and support more consistent alignment between operational decisions and strategic objectives. The findings emphasize that managerial analytics functions as an organizational capability whose incremental development generates cumulative efficiency gains and strengthens the adaptability and long-term performance of medium-sized enterprises.

Abstract: The article analyzes approaches to automating financial flows in industrial enterprises through the application of intelligent algorithms for procurement and inventory management. It examines the role of predictive methods, stochastic models, and machine learning algorithms in demand forecasting, optimization of replenishment parameters, and reduction of operational risks. The architecture of integrated information systems combining ERP, MES, and WMS platforms is described, ensuring end-to-end processing of production and financial data. The study demonstrates that the use of intelligent algorithms within the procurement framework enhances the transparency of financial operations, reduces total costs, and increases the resilience of supply chains. Particular attention is given to practical examples of implementing such solutions in industry and to the assessment of their economic effectiveness for enterprises.

Abstract: The article examines strategic coordination between financial and operational planning under volatile market conditions. The study focuses on coordination dimensions, organizational mechanisms, adaptive planning tools, performance metrics, and digital solutions that support alignment of planning processes in environments characterized by high uncertainty. It is demonstrated that fragmented planning approaches increase reaction delays and resource misallocation, while integrated coordination mechanisms enhance responsiveness and planning coherence. The analysis shows that effective coordination relies on the interaction of analytical integration, adaptive governance, and digital infrastructure rather than on isolated planning instruments. The findings emphasize that strategic coordination should be considered a dynamic managerial capability that strengthens organizational resilience and supports sustainable performance under volatile market conditions.