The aim of the study was to identify ways to implement adaptive project management in the hospitality industry of Ukraine using digital technologies, in particular artificial intelligence based on machine learning. The methodological basis consisted of statistical analysis of the Ukrainian hospitality market indicators for 2020-2024, a comparative study of international practices, and a case study using the example of hotel enterprises in Ukraine and Bulgaria. The results of the study showed that the Ukrainian hospitality market, despite the challenges of the COVID-19 pandemic and full-scale war, is showing signs of recovery: the growth rate of the number of accommodation establishments in 2024 increased by 2%, and tax revenues from tourist fees increased by 23% compared to 2023. It was found that Ukrainian hotels are mainly in the second stage of artificial intelligence implementation (using chatbots for external customer interaction), while Bulgarian companies have reached the third stage (integration of analytics and automation of internal processes). Using the example of the Casa di Fiore SPA & Medical and Izgreva Hotel Complex hotels, the effectiveness of chatbots with machine learning functions was analysed, which made it possible to reduce staff working hours and improve the level of service. A comprehensive assessment of the readiness of Ukrainian hospitality companies to move to higher stages of artificial intelligence implementation was provided, and practical recommendations for the integration of digital technologies into project management were formulated. The practical significance lies in providing a roadmap for the implementation of artificial intelligence tools, taking into account financial, technical and human resource constraints

The study aimed to identify effective artificial intelligence tools that can improve the productivity, accuracy, and flexibility of management processes in the field of project management. The study analysed the functionality of digital project management platforms and artificial intelligence-based tools, as well as cases of their practical application in international and Ukrainian companies. Trello, Wrike, Monday, Microsoft Power Automate, Taskade and Timely were noted to differ in terms of automation, integration, process visualisation and flexibility. For example, Microsoft Power Automate provides the setup of automated task flows, and Timely provides accurate time tracking. Chat Generative Pre-trained Transformer, Gemini, International Business Machines Corporation, Watson Assistant, Jasper, ClickUp Artificial Intelligence Assistant and Fireflies tools increase analytics, personalise processes, support natural language interaction and automate routine tasks. The analysis of the cases proved the effectiveness of artificial intelligence. Duolingo implemented Chat Generative Pre-trained Transformer for adaptive learning, Webster First Federal Credit Union uses Jasper to create marketing content, Lulu Press uses ClickUp Artificial Intelligence Assistant to optimise task management, and Moonfrog Labs integrated Fireflies to analyse online meetings. Asana, used by Kenshoo Skai, improved the coordination of multi-channel campaigns, while Zoho Projects at Sgurr Energy increased control over technical phases of projects. Ukrainian examples also demonstrated the successful integration of artificial intelligence tools. Ajax Systems implemented relevant solutions for real-time security monitoring, Nova Poshta optimised logistics and customer support, and Liga:Zakon automated the processing of legal information. The analysis of strengths, weaknesses, opportunities, and threats showed that artificial intelligence tools contributed to the automation and analytical nature of project management, although they required significant resources and specialised training. The practical significance of the study is determined by the identification of tools that can be integrated into management processes to achieve greater efficiency

The aim of the study was to assess the impact of big data analytics on the quality of managerial decisions by analysing key technologies, data processing methods, and data interpretation in the modern business environment. The research methodology included the analysis and comparison of existing approaches to the use of big data analytics in various industries, as well as the application of case study and modelling methods to evaluate the impact of big data on the effectiveness of managerial decisions under conditions of unstable resource provision. The study also analysed the practical use of big data in finance, marketing, logistics, manufacturing, human resource management, and public administration based on real cases from companies such as Amazon, Uber, Walmart, General Electric, and Netflix. Types of machine learning algorithms (classification, clustering, regression, deep learning), examples of the application (customer segmentation, demand forecasting, anomaly detection), and the impact on the effectiveness of managerial decisions were described. Key technologies were outlined – Hadoop, Spark, and Tableau – which ensured the processing, analysis, and visualisation of big data. Emphasis was placed on the advantages of big data – improved forecasting accuracy, personalisation, automation, market adaptation – and the challenges of implementation, particularly the need for computational resources, qualified personnel, and data protection, which were critical for achieving managerial efficiency. The results obtained will allow enterprises to optimise operational processes, increase the efficiency of resource use, and adapt strategic decisions to specific market conditions and technological challenges. Furthermore, the study made it possible to improve the integration of big data analytics with other digital technologies, such as BIM and IoT, which contributed to more accurate forecasting and optimisation of business processes. The practical value of the study lies in identifying ways to effectively apply big data analytics to improve managerial decisions in various sectors

Modern challenges require businesses to rethink their business models by integrating sustainability principles into management processes. The goal of the study was to identify methods and tools that will help companies plan their activities in accordance with the principles of sustainable development, as well as provide practical tools for their implementation. Considering the complexity and multifaceted nature of the subject matter, a comprehensive approach was applied, which included the following methods: analysis of literary sources – a review of scientific publications and corporate strategies was conducted to identify key trends in business process planning in accordance with the principles of sustainable development. A comparative analysis was used to examine and compare the main methods and approaches to business process planning. A case study method was applied to analyse the practical implementation of sustainable development principles using the examples of Unilever, Tesla, and IKEA. Their business strategies, environmental initiatives, and social responsibility were examined to identify effective approaches to integrating sustainable development into business process planning. The method of environmental assessment was used to consider the application of environmental auditing, product life cycle assessment, implementation of environmental management systems ISO 14001:2015/Amd 1:2024 and circular economy principles. The method of systematisation was utilised for the compilation of key aspects that together formed the basis of the concept of corporate social responsibility; methods for the effective combination of economic, environmental and social sustainability were summarised and the main approaches to business process planning were streamlined. An analytical method was applied to examine the impact of sustainable development on business process planning. The examples of approaches and strategies used in the publication contribute to the formation of long-term strategic management, consolidation of environmental focuses and values, and increase of business competitiveness in modern conditions

Globalisation, technological breakthroughs, and unpredictable events have created an era in which traditional management approaches are losing effectiveness. Since 2020, businesses have been operating in a BANI world, where adaptability has become a key advantage. The aim of this study was to examine modern successful agile companies and determine the feasibility of implementing the Scrum methodology in the management processes of other organisations. The study employed several methods: theoretical generalisation and comparison (revealing the essence of SPOD, VUCA, and BANI worlds with a focus on key characteristics); analysis (examining global changes influenced by various factors and uncovering their specifics); statistical (data grouping to determine the percentage of companies worldwide using agile methodologies); and abstract-logical (formulating principles of Agile effectiveness, including its advantages and drawbacks). Agile methodologies were examined based on the experience of ten leading companies in flexibility, recognised for their significant achievements in innovation and high customer satisfaction. Current statistical data on the use of Agile, Scrum, and Kanban methodologies and their impact on company performance have been examined. The advantages of Agile approaches, the growing popularity of these methodologies among global companies, and the effectiveness of implementing flexible methodologies across various industries have been assessed. The practical experience of implementing flexible methodologies in the management processes of successful international companies has been analysed and systematised, along with a comparative assessment of different agile methodologies. Based on this, an effective tool for managing companies in the nonlinear BANI world has been proposed. It has been determined that achieving results requires an individualised approach, necessitating adaptation to the specific context. The practical value of the study lies in the systematisation and analysis of the modern, dynamic external and internal business environments of companies, providing management personnel with an effective tool for future navigation

The relevance of the research is stipulated by the need to study the impact of military actions on the mobility of human capital as a key factor of economic development in the conditions of the transformation period in Ukraine. The purpose of the study was to determine the main trends in the mobility of human capital and identify groups of factors, influencing the movement of labour resources in different economic and social conditions. Methods of comparative analysis, synthesis and systematisation were applied to achieve this goal. A comparative analysis made it possible to identify differences in mobility factors between different regions and countries. The synthesis method made it possible to integrate the obtained data and identify general patterns. Systematisation allowed for structuring the factors, influencing migration processes. In the course of research, it has been discovered that the key trends in the mobility of human capital include digitalisation of labour, the spread of remote work, the growth of international labour migration and the change in the structure of demand for professional skills. It has been found out that the war in Ukraine has significantly transformed migration processes, stimulating the outflow of highly qualified specialists abroad, as well as boosted internal mobility due to the movement of workers to safer regions. It has been proved that the interaction of globalisation, technological and demographic factors significantly affects the scale and nature of human capital mobility. In particular, the development of digital technologies has expanded the possibilities of remote work, which has become an important mechanism for adapting to crisis conditions. Demographic processes, such as population aging and increasing demand for young labour also affect the nature of international mobility. The practical significance of the study is determined by the possibility of using the results to develop strategies for adapting labour market to new conditions, improving mechanisms for regulating migration processes and increasing the efficiency of labour resource management

Digital technologies are becoming increasingly important in all areas of business, causing irreversible changes in the management of companies to improve their financial and economic performance, increase flexibility and competitiveness in the market. The use of powerful software, hardware and digital tools creates a company’s competitive advantage in the international market, while the intensification of competition and the widespread use of information and communication technologies have created opportunities to improve business processes to ensure efficient operations. The study aimed to determine the development of digitalisation of business processes in the context of the formation of a modern mechanism for managing business processes of international IT companies and to generalise the directions of their optimisation in the digital space. General scientific and special research methods were used in the study: deduction and induction, analysis and synthesis, abstraction, generalisation, methods of statistical and economic analysis, systematisation, comparison and analysis, systemic and functional analysis. The status of digitalisation of business processes of international IT companies was analysed by determining the interaction between business processes at the organisational level and addressing the hierarchy of business processes of an economic entity. The study highlighted the components of the IT company’s digitalisation process, which optimises the available resource potential, work time and improves the efficiency of business processes, thereby increasing the effectiveness of economic activity. A model of optimisation of business processes of an IT company in the context of international activity is formed using the method of functional modelling of the architecture of integrated information systems. The stages of optimising an IT company’s business processes are formed, which can be used to find solutions to improve business operations and are manifested in the quantity and quality of services, cost and reliability of IT services, launching new services on the market or creating optimal conditions for the rapid implementation of new services. The practical value is determined by the proposed recommendations for creating optimal business processes in the context of international activities, which will increase the efficiency of the IT business

The relevance of the study is determined by the need to study the socio-economic effects of implementing corporate social responsibility strategies in the transformational conditions of a market economy. The aim of the study was to conduct an empirical assessment of the impact of socially responsible strategies on the financial performance of companies in a sectoral and institutional context. The methodological basis was the analysis of secondary statistical data from international organisations and companies, as well as the use of a comparative approach to assess financial indicators in dynamics. The study found that the share of expenditures on the implementation of socially responsible strategies in the structure of operating expenses in industry averaged 2.1%, in the financial sector and information technology – 1.2%, and in agriculture – 0.9%. Companies with a high level of corporate social responsibility implementation demonstrated an average return on assets of 7.4%, return on equity of 13.1%, net profitability of 9.8%, and capitalisation growth rate of 5.3%, which exceeded the similar indicators of companies with a low level of social responsibility. A comparative analysis of the levels of institutional support for corporate social responsibility strategies in the Netherlands, Switzerland, Turkey and Ukraine revealed that the effective implementation of socially responsible approaches directly depends on the level of regulatory support, government incentives and the development of civil control mechanisms. Case studies of Unilever, Nestlé, Arçelik, the Private Joint-Stock Company Myronivskyi Hliboproduct and the logistics company Nova Poshta identified effective organisational models for managing corporate social responsibility areas based on strategic planning, performance monitoring and active stakeholder engagement. It was found that the structural integration of socially responsible practices into corporate governance was accompanied by an increase in the efficiency of management processes, an increase in investment attractiveness and a strengthening of reputational capital. The practical significance of the study lies in the possibility of using its results in the formation of state policy on sustainable development, the development of corporate strategies for responsible management, and the implementation of international standards of non-financial reporting in corporate practice in Ukraine