https://repository.hneu.edu.ua/handle/123456789/33867 2026-04-14T17:41:31Z https://repository.hneu.edu.ua/handle/123456789/35849 Назва: Transformation of business ecosystems of the energy sector enterprises Автори: Bochko O.; Zarichna O.; Kuziak V. Короткий огляд (реферат): Transformation of business ecosystems of the energy sector enterprises is a strategic necessity for their sustainable competitiveness in the context of changes in the global energy landscape, which determines the relevance of the study. The purpose of the study was to substantiate the need to transform the business ecosystems of the energy sector enterprises. The following methods are applied: scientific abstraction – in substantiating the meaning of “business ecosystem” and its definition; inductive, deductive – in collecting, systematising, and developing a conceptual model of a business ecosystem; abstract and logical – for theoretical generalisations and forming conclusions; systemic – for detailed development of a strategy for business ecosystems of energy sector enterprises. A conceptual model of the business ecosystem is proposed, which includes the relationship and interdependence of large, niche and key players. A mechanism for implementing the business ecosystem strategy is proposed. It is established that the success of implementing a business ecosystem strategy depends on the ability to effectively coordinate interaction between different participants in this ecosystem, and on existing agreements concluded. A mechanism for implementing the business ecosystem strategy is proposed in the following sequence: modernisation of the management vector of the business ecosystem, a system of cooperation between enterprises of the energy and related industries, investment support for enterprises of the energy sector, transition to “green” energy, and development of a vertical and horizontal business ecosystem. The features of developing the business ecosystem in the energy sector enterprises are revealed: energy and digital transformation, resistance to change, energy services, partnership and cooperation, and improvement of energy efficiency. It is proved that the business ecosystem of energy sector enterprises is a complex and multifaceted category, which is developed under the influence of a set of advantages, the combination of which forms a more stable position in the market for the enterprise. The practical value lies in developing recommendations that determine the transformation of business ecosystems of the energy sector enterprises and consist in the modernisation of the management of the business ecosystem, the development of cooperation between energy and related industries, investment support for energy sector enterprises, and the need to switch to “green” energy, vertical and horizontal business ecosystem. 2024-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/35848 Назва: Soft, hard, and digital skills for managers in the digital age: Business requirements and the need to master them Автори: Varenyk V.; Piskova Zh. Короткий огляд (реферат): Digitalisation in Ukraine and the world changes products, services, and business processes, affecting the number and quality of jobs due to the need for digital skills. Employers are requiring new skills from candidates in job profiles for existing managerial positions. The purpose of this study was to investigate the impact of soft skills, hard skills, and digital skills on managers in the era of digitalisation based on the analysis of business requirements. The following methods were used: theoretical generalisation and comparison (disclosure of the content of each group of skills), analysis (skills most frequently and most demanded by employers), statistical method (summary and grouping of data collected from the job search portal), synthesis (combination of different types of information), and concretisation (identification of problems in the legislative and regulatory framework of Ukraine). The study established the ratio of skill groups in the analysed positions: sales manager, HR manager, and logistics manager mainly need the following skill groups: soft and hard, but to varying degrees. Soft skills are essential for the positions of sales manager and HR manager, while hard skills prevail for the position of logistics manager. Only project managers need hard skills and digital skills because of their specificity. To provide a better understanding and visualisation of complex information about competencies or skill levels, the authors first introduced a “three-zone competency stoplight” and a colour matrix of the result of soft, hard, and digital skills requirements of employers by position. Three skills groups are proposed to be represented in different colours: orange (soft), pink (hard), and green (digital), which will allow businesses to use this visualisation to see the zones that correspond to their job offers and understand what skills they will require from candidates for the relevant position and to what extent. The practical significance of the study is the possibility of using its results in the development of educational programmes for planning the development of necessary disciplines. 2024-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/35847 Назва: Security in cloud computing: Methods for ensuring privacy and integration in modern applications Автори: Zarichuk O. Короткий огляд (реферат): Cloud computing has become a necessary component for data storage and processing and is becoming more widespread. However, there are threats to the security and privacy of user data, which is why it is important to find out the most effective methods for ensuring data security in the cloud. The purpose of the study was to develop methods aimed at ensuring privacy and security in cloud environments and in modern applications. The method of analysis was used to review other publications on the topic, and the method of experiment was used for practical implementation. The main results of the study include the development of a security monitoring programme. It analyses event logs and determines the number of failed login attempts, which indicates the detection or absence of suspicious activity. Access to resources is checked, and the necessary information is displayed on the console. A comparison table of cloud platforms has been created, considering their advantages and disadvantages in the context of data security and privacy. It specifies the criteria for delivering services to the selected services. A block diagram of ways to provide security in cloud computing is developed, illustrating the relationship between various aspects of providing security in cloud systems. It contains parameters and strategies for encrypting data, protecting sensitive data, and countering attacks. Various aspects of security and methods of ensuring privacy in cloud computing are considered, namely authorisation, intrusion detection, regulatory requirements, integration with modern applications, monitoring and logging, user identification and authentication. The practical significance of the study lies in the creation of innovative ways to help improve security and privacy in cloud computing. They will allow cloud developers and administrators to effectively protect user data and ensure their privacy in modern applications. 2024-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/35846 Назва: Directions for using big data analytics in logistics management Автори: Aubakirova Dinara Короткий огляд (реферат): Logistics operations are becoming increasingly complex and require accurate data for effective management. The use of big data in logistics management is a relevant issue due to the growing volume of data and the need to optimize delivery and inventory management processes to meet market demands. The purpose of the study was to develop ways to optimize the management of big data analysis in logistics. To achieve this goal, the methods of analysis, experimentation, and comparison were used. As a result of the study, strategies for optimizing logistics management of big data analysis were developed and successfully applied. The Python programming language based programme effectively optimizes delivery routes using a clustering algorithm and visualizes the results of this process. Additionally, an informative diagram has been drawn up to illustrate the key stages of the developed strategies. The study also developed and presented a table describing the use of big data analysis methods in various logistics companies. The companies were compared in terms of functionality, data, results, and field of activity. It is established that the use of machine learning methods and optimization of data storage and processing significantly increases the efficiency of logistics operations. The results of this study can be used by logistics companies of any size, as well as enterprises engaged in supply chain management. In addition, the recommendations and strategies developed in this study may be useful for information technology and data analytics professionals involved in the development of software solutions and systems to optimize logistics processes. 2024-01-01T00:00:00Z