The article deals with public administration mechanisms for green tourism development in the Odesa region amid sustainable development. The dynamics of tourism tax revenues for 2018–2022 and accommodation facility indicators for 2018–2024 were analyzed under the impact of COVID-19 and the full-scale war. Using SWOT analysis, the strengths, weaknesses, threats, and opportunities of the region’s potential have been identified, including gastro-tourism and veterans' post-war readaptation. The study reveals that worn-out infrastructure, low service levels, and weak estate categorization hinder industry growth. The authors propose a comprehensive public administration model integrating strategic, regulatory, financial, human resource, and environmental levels for sustainable community development.
The article identifies and systematizes the key drivers of sustainable development of transport and logistics companies, taking into account current trends in their transformation, and examines the mechanisms for forming their competitive advantages by integrating the principles of sustainable development – economic, environmental and social – into their business models. The key features of the competitive advantages of transport and logistics companies by type of transport, identifies and systematizes key indicators that will allow the competitive advantages of transport and logistics companies to be assessed through the prism of sustainable development principles, and proposes industry-specific strategies for the sustainable development of transport and logistics companies in terms of types of transport.
The article examines the problem of coordinating an enterprise’s business processes. It is substantiated that traditional modeling approaches do not ensure a comprehensive consideration of interdependencies between operational, investment, innovative, and financial processes. Methodological approaches have been developed for constructing an integrated model that ensures optimal interaction among the enterprise’s core, auxiliary, supporting, and managerial business processes. A block-based model structure is proposed, in which business processes are represented by corresponding production functions and cost functions. The use of recurrent dependencies allows for the alignment of resource flows and financial constraints. To determine optimal managerial decisions, the use of statistical testing methods and scenario modeling is proposed. The model can serve as a basis for developing decision support systems that enhance management efficiency under uncertainty.
This article examines the theoretical and practical aspects of analyzing the profitability of food industry enterprises in conditions of economic instability. It justifies the need to adapt international approaches to evaluating financial performance in domestic practice. A comprehensive system of indicators is proposed, including margin and return on capital ratios, which provide a comprehensive assessment of enterprise performance. An empirical analysis of confectionery enterprises for 2023–2024 was conducted, revealing an increase in the influence of cost factors, variability in indicators, and differentiation in profitability levels. Key profitability factors have been identified, including cost management efficiency, capital structure, and asset utilization.
The article examines the methodological principles of digitalization and statistical support for the activities of tourism enterprises within the context of the historical evolution of tourism, recreation, and hospitality. Contemporary directions of digitalization – operational, marketing, and analytical - are analyzed, along with their impact on the effectiveness of enterprise management. Special attention is given to the methodology of data collection, processing, and analysis, including the use of primary and secondary information, descriptive statistics, regression modeling, and forecasting algorithms. The role of result visualization in managerial decision-making is highlighted. The presented scientific findings demonstrate enhanced productivity, transparency, and competitiveness of tourism enterprises in modern digital conditions.
