Bulletin of NTU "KhPI". Series: Strategic management, portfolio, program and project management

STRATEGIC DEVELOPMENT OF EDUCATION PROGRAM UNDER THE INFLUENCE OF AI

Sergey Bushuyev — 2025-10-24

The subject of this research is the strategic development of education programs under the influence of Artificial Intelligence (AI). It focuses on exploring how AI technologies can be effectively integrated into educational systems to enhance learning outcomes, improve administrative efficiency, and address contemporary challenges such as accessibility, inclusivity, and ethical concerns. The object of research is the education programs themselves, specifically their structure, delivery, and outcomes, as influenced by the integration of Artificial Intelligence (AI). The rapid evolution of Artificial Intelligence (AI) has profoundly impacted various sectors, including education. This paper examines the strategic development of education programs influenced by AI, exploring how advanced technologies can transform traditional pedagogies, curriculum design, and educational delivery. It identifies key areas where AI contributes to personalized learning, adaptive assessment, and administrative efficiency, offering solutions to challenges such as accessibility and scalability. The study highlights case examples of AI integration into educational systems and provides a framework for policymakers and educators to strategically implement AI-driven tools. Furthermore, ethical considerations, such as data privacy, algorithmic bias, and the role of educators in an AI-enhanced environment, are critically discussed. The findings suggest that leveraging AI in education requires a balanced approach to ensure innovation aligns with equity, inclusivity, and sustainability. This paper aims to guide stakeholders in harnessing AI to create forward-thinking, effective, and ethical educational programs for the 21st century. The research confirms that AI can profoundly transform education programs by enhancing personalization, efficiency, and scalability. However, addressing ethical and infrastructural challenges is essential for equitable and sustainable adoption. The results provide actionable insights for policymakers, educators, and administrators to strategically implement AI-driven solutions in education.

MULTI-LEVEL PLANNING AND MANAGEMENT IN CONCRETE PRODUCTION DEVELOPMENT AND SUPPLY CHAINS

Mikhailo Buhaievskyi — 2025-10-24

The relevance of the research is linked to the fact that the restoration of destroyed housing stock, the reconstruction of damaged infrastructure and industrial buildings, and the resumption of work on all construction sites across the country will lead to a sharp increase in demand for concrete, which will evidently exceed existing production capacities. Therefore, one of the key priorities for Ukrainian concrete plants today must be the implementation of strategies and development projects aimed at increasing productivity without compromising quality. The purpose of this study is to enhance the efficiency of production planning and logistics for ready-mixed concrete based on a systematic approach and simulation modeling under the dynamics of market demands and constraints. The following results have been obtained. A multi-level planning model for concrete logistics has been proposed. This model considers both production and distribution processes, allowing for the alignment of supply plans with the enterprise's development strategies. The use of this model enables systematic analysis of order portfolios and production development projects to assess their feasibility at a specific enterprise, coordinate project implementation plans with enterprise strategies at various planning levels, and select orders/projects for execution according to the chosen development strategy. A simulation model for analyzing the processes of production and logistics of ready-mixed concrete has been developed. This model facilitates solving various tasks, including evaluating the rationality and efficiency of production and delivery organization, identifying bottlenecks in production and logistics processes, forecasting performance indicators of concrete plants under changing production conditions, and generating data to support decisions aimed at reducing downtime for both plants and clients. The models developed can serve as valuable tools to assist managers, dispatchers, and engineers at concrete plants in planning their operations effectively.

SYNTHESIS OF GROUP SOLUTIONS FOR SOLVING THE CHOOSING VEHICLES PROBLEM IN THE LOGISTICS SUPPORT PROCESS OF URBAN PASSENGER TRANSPORTATION

Volodymyr Burenko — 2025-10-24

Every year, data processing methods of urban passenger transportation are gaining popularity for decision-making on the organization of passenger transportation in a "smart city", ensuring the efficiency of people's movement in space and time. Their relevance is due to the data volumes, changes in demand for the quantity and quality of necessary vehicles of various types. The object of the study is the process of synthesizing group solutions for addressing the problem of vehicle selection for logistical support of urban passenger transportation. The subject of the study is the principles of studying uncertainties and risks, caused by uneven traffic flows, the use of various types of vehicles, the state of transport corridors and nodes, etc. The purpose of the study is to solve the problem of selecting vehicles for urban passenger transportation in multi-criteria conditions. The following tasks are solved in the article: studying the criteria features for selecting different vehicles for multimodal transportation; simultaneous consideration of both gains and risks based on the ranking of alternatives; group solutions synthesis for choosing a vehicle, taking into account the qualifications of experts. Methods of forming collective expert assessments (EA) and making decisions based on them, forecasting, optimizing logistics systems, and building applied computer systems (CS) on this basis were used. As a result of the work, a method for solving the multi-criteria problem of choosing vehicle options for passenger transportation was proposed based on the BOCR method, which considers several indicators of transportation quality that determine their optimality and efficiency. The scientific novelty lies in the justification and assessment of the comparative importance of criteria, taking into account different forms of representing experts' preferences (fuzzy, point, etc. EA) based on the method of group expert assessment and analysis of hierarchies. The achieved results of the synthesis of group solutions for solving the problem of vehicle selection in the process of logistical support of urban passenger transportation have practical value in optimizing the provision of vehicle routes, forecasting and planning demand for vehicles by capacity, route numbers, owners, comfort level and other criteria, as well as for achieving optimal productivity of the urban passenger transportation system and improving the quality of passenger service due to data from the CS "smart city".

MODELING OF INDIVIDUALTECHNIQUES FOR EFFECTIVE AND RATIONAL PUSHING OF QUALIFIED LONG JUMPERS

Anatoliy Horlov — 2025-10-24

The aim of the study was to investigate and substantiate the most important criteria for assessing the individual technical and physical fitness of skilled male long jumpers. The study involved 19 highly skilled long jumpers who participated in the Ukrainian Athletics Championships for adult athletes in 2018 and 2019. The biomechanical characteristics of the long jump technique were recorded using high-speed video recording, processed in the Kinovea video analysis computer program, as well as the OptoJump computer biomechanical and technological system and the Start-Finish electronic-optical system. The results of the research are composite models of multiple linear regressions between the athletic performance of qualified athletes and the kinematic parameters of individual long jump techniques. The coefficient of determination (R2) was used to assess the statistical reliability of the model. Assessment of the statistical significance of the model coefficients showed that two of the six coefficients can be considered non-zero (significant). These are the coefficients for the factors ‘athlete's speed before push-off’ and «pathlength of passing (GCMB) in the moment of realization of pushing away».

BUSINESS PROCESS OF USER STORY MAPPING BUILDING BASED ON USING THE RECOMMENDER SYSTEM

Valentyna Moskalenko — 2025-10-24

The article deals with current problem of developing User Story Mapping in software product development projects using the Agile SCRUM methodology. The market success of a software product is ensured by the product manager's full mastery of project management practices, product management practices, business analysis techniques, tools for achieving leadership in the IT market, and directly depends on the project’s timely completion and implementation, the professionalism of the team and a clear understanding and presentation of the product vision, effective communication, etc. The justification is provided for necessity of using business analysis practices and techniques in the work of all project stakeholders regarding the software product development. Documents developed by leading international organizations, which focus on accumulating business analysis knowledge in the IT area and project management, are also referenced. It is proven that User Story Mapping is an essential tool for effective work of a business analyst and conducting product ownership analysis by the product manager. User Story Mapping also helps to the development team and other stakeholders create and deliver exceptional products and services for IT company clients. The analysis of existing research is conducted regarding the problems and approaches to the development of User Story Mapping. Business analysis practices involve various methods, including machine learning techniques, to resolve typical issues related to the creating, structuring, and systematization of requirements, accurate reflection of User Stories, and effective software implementation.The purpose of this work is to study and improve the process of User Story Mapping developing for a software product in an IT company by using of a recommender system. It is proposed a business process to create User Story Mapping for the customer-oriented product development. The recommender system should include a knowledge base on the software products development in IT companies, a template base of user goals and actions in the software product, rules for User Stories creating, logical inference algorithms, and solutions for typical problems in requirement identification with using machine learning methods and natural language processing (NLP) models.

IT PROJECT RISK MANAGEMENT: AN ANALYTICAL REVIEW OF RESEARCH

Oleh Yasinetskyi — 2025-10-24

The purpose of the study was to determine the published body of knowledge on IT project risk management and identify modern tools, methods, artifacts for effective risk management. The basic principles, processes, methods, and tools of project risk management in international knowledge systems and standards (“Guide to the Project Management Body of Knowledge”, “ISO 31000:2018. Risk management - Guidelines”, ‘The standard for risk management in portfolios, programs, and projects’). It is emphasized that the use of structured approaches allows minimizing uncertainty, increasing flexibility in decision-making and ensuring the effective achievement of high-tech project goals. The dissertations on risk management of projects in the field of information technology (IT), defended in Ukraine in 2021-2024, were analyzed. It was found that most of the theoretical and practical results are presented in the context of the field of knowledge 12 - Information Technology (specialty 122 - Computer Science). VosViewer Software was used for the bibliometric analysis of publications indexed in the Scopus scientific and metric database. Bibliometric maps of keywords of research on IT project risk management were created and structured into twelve clusters: methods of risk and asset management in IT projects; geographic information systems, blockchain and virtual reality for sustainable development; intelligent systems and automation in engineering project management; digital transformation and change management in engineering; information security, big data and trust in project management; risk management in the development of software products based on Building Information Modeling (BIM), Internet of Things (IoT) and cloud technologies; digital construction strategies, security, and collaboration; digital technologies for safety management in construction; analytics for IT project risk management; e-Government project management; cybersecurity risk management; IT outsourcing: management, strategies, and integration. A selection of documents most relevant for further research is presented. The results obtained can serve as a basis for further research in the field of security and cybersecurity management of IT projects.

GOAL-SETTING MODEL FOR DEVELOPMENT PROJECTS IN THE MARITIME INDUSTRY

Olha Sherstiuk — 2025-10-24

A comprehensive 5C goal-setting model is proposed as a tool for strategic project management in developing maritime industry enterprises. The model includes five key stages: Context, Concept, Collaboration, Construction, and Continuity, ensuring a systematic approach to project management. The proposed model is based on the application of modern mathematical methods and algorithms, including the risk function, which enables a quantitative assessment of potential threats, the integral function of market conditions for evaluating changes in the competitive environment, and resource optimisation methods, which minimise costs and ensure their efficient allocation. Special attention is given to the coalition function, which determines the effectiveness of interaction between project participants, and the Shapley value method, which ensures a fair distribution of benefits among partners. The critical path method is implemented to optimise the task execution schedule. At the same time, the dynamic development model allows for an assessment of the project's long-term stability in a changing market environment. A dynamic optimisation mechanism is proposed to facilitate the continuous improvement of management processes and the adoption of well-founded strategic decisions. The obtained results confirm the effectiveness of the proposed model for development projects in the maritime industry, especially under conditions of high dynamism and uncertainty. The practical application of the model enhances enterprise competitiveness, minimises risks, ensures balanced development, and integrates the principles of environmental, social, and corporate governance into management processes. In the future, the 5C model can be adapted to other sectors of the economy that require a systematic approach to strategic project management.

ANALYSIS OF RELEVANCE, COMPETITIVE ENVIRONMENT AND ARCHITECTURAL SOLUTIONS FOR AN INTEGRATED INFORMATION SYSTEM FOR EDUCATORS

Iryna Shuba — 2025-10-24

The article explores the relevance and architectural solutions for the development of an integrated information system focused on transforming the educational space in Ukraine. The modern educational technology market is characterized by fragmentation, where teachers, educational administrators, and students are forced to use disparate platforms for professional development, human resource management, and searching for educational service providers, respectively. This leads to inefficiency, information asymmetry, and complicates access to comprehensive data. The designed information system is a kind of digital hub that combines these functionalities. It will allow teachers to create detailed professional portfolios with information about their qualifications and achievements, representatives of educational institutions to effectively find and verify teaching staff to fill vacancies, and parents and applicants to conveniently search for tutors based on reviews and profile descriptions. The uniqueness of the information system lies in the creation of an “ecosystem of trust,” where official data on teacher qualifications is combined with real user reviews, increasing the transparency and reliability of the selection process. The system will also promote personalized professional development for educators by offering relevant courses based on an analysis of their needs. The acceleration of digitalization and the rapid growth in demand for tutoring services in Ukraine make the development of the EduConnect.UA information system relevant and strategically important for optimizing educational processes and improving the quality of education.