One of the effects of globalization is the increase in the intensity and importance of international cooperation. The context of internationalization of the functioning of organizations and international contracts has influenced the need to popularize translation services. In the case of everyday language or basic communication processes, the lack of clarity and an appropriate level of quality of translations between any language of the world can cause minor problems and communication problems. However, in the case of contracts, political protocol or legal regulations, the quality of translation processes between languages is very important. Despite the high popularity of IT translation tools, there is still a need for the services of professional, traditional translators, especially when translation processes involve highly specialized vocabulary or highly formalized studies, such as legal regulations. The aim of the article is a comparative analysis of two tools using LLM in the processes of translating legal texts into less popular languages, such as Dutch and Polish. In order to assess the possibility and quality of translation of popular translators such as DeepL and Google Translate, the authors used a scientific experiment in which a sworn translator from Dutch took part, assessing the quality and unambiguity of the translations made by IT tools.

The educational field is increasingly using solutions that support personal development. One is academic tutoring, which helps students search for career paths. Academic tutoring is a complex process that requires a lot of human resources. Technology, such as artificial intelligence (AI), can support selected stages of this process, especially when matching appropriate tutors for tutees. This research aims to present the concept of enhancing academic tutoring with AI, especially at the stage of connecting tutor-tutee. The research was developed using a case study based on participant observation conducted at the Wroclaw University of Economics and Business (WUEB) and based on it, the process was visualized using the Business Process Model and Notation (BPMN), indicating the current state of and elements of the process that could be improved. The use of AI solutions can enhance the efficiency of academic tutoring, starting with tools that analyze the content of submissions made by tutors and tutees. In addition, AI tools could also evaluate the results of tests such as Gallup and automatically match tutors and tutors based on these results. The designed procedure concept reduces the length of the process and, as a result, facilitates the work of academic tutoring program coordinators. It can also improve the match between tutor and tutee, leading to more effective collaboration and better tutee performance.

The digitalisation of society as well as of individual branches of the economy determines the speed of economic growth and the ability to adapt new technologies to business and social processes. That is why analyzing the degree and pace of digitalization of individual countries is so important for assessing the economic potential of European Union countries. A very important phenomenon analysed is also the capacity for convergence of countries with a much lower degree of digitalisation. The aim of the article is an research of the convergence of the level of digitisation of individual European Union countries on the basis of the analysis of the DESI index. The research used statistical data available from European Union studies between 2017-2022. Statistica 13 was used to carry out the statistical analyses. The results of the conducted research do not inspire optimism as the expected catch-up effect is definitely lower than predicted.

Educational processes have undergone significant evolution over recent years. The evolution of educational processes is a source of consideration in numerous academic and professional publications. This has been influenced on the one hand, by information and communication technologies, the development of which has affected all areas of human activity; on the other hand, expectations regarding the content of educational processes as well as the emphasis on the development of soft skills have changed significantly. At the interface of these two predictors influencing the evolution of educational processes, the question arose: how often is the use of creative problem-solving methods in educational processes addressed in the literature, and is this trend maintained in the case of processes using advanced ICT? The above determinants influenced the choice of the aim of the research conducted by the authors of this article, which is to identify the range of publications and trends in scientific studies devoted to techniques, tools, and approaches to the implementation of educational processes.

Sustainable city development is an approach to city planning and management that takes into account the balance between economic, social and environmental aspects in order to ensure sustainable social development, environmental protection and ensuring a high quality of life for residents. The aim of the article is to draw attention to the problems in the field of parking vehicles in a smart city, which should be solved as soon as possible. Problems related to parking in the city are a common challenge that can affect the comfort of living of residents, traffic, natural environment and transport efficiency. Many cities lack parking spaces in relation to the number of vehicles, leading to difficulties in finding a parking space. This can lead to traffic jams that increase the time it takes to find a parking space, increase traffic-related emissions and reduce the quality of life for residents. The research method to solve the problem related to the management of parking spaces is focused on the analysis of the city's problems and guidelines resulting from the sustainable development of the European Union. In the application part, open data resources were used to carry out the simulation in the proprietary application solution. The result of the article, which is a scientific research, is the presentation of the author's application in the Digital Twin concept for the simulation of parking space management. The simulation is the result of research conducted using open data published on the Internet. The conclusion of the research is that in the process of effective management of parking spaces, simulation in the Digital Twin concept can be used. There is great potential in this approach.

The aim of this article is to identify the possibility of developing a set of good practices that fit into the idea of effective sustainability management. According to the authors, this is possible through the implementation of the EFQM model in organisations. However, in order to confirm this thesis, it is necessary to identify the guidelines of the model and assess the status of implementation of the above model in selected organisations. Verifying the hypothesis required a literature study, the results of which were practically verified by empirical research of a qualitative nature. The literature research used a systematic literature review, which enabled the authors to identify key literature items discussing the EFQM model. The results of the literature research will be presented in the first section of the article. The literature research was complemented and verified by empirical qualitative research in which the authors applied a case study analysis of selected business entities that have implemented the EFQM method. The case study was complemented by interviews conducted with the organisation's managers and two focus groups. The research carried out enabled the authors to develop and identify recommendations that could constitute a set of good practices enabling the realisation of the idea of effective sustainability management through the application of the EFQM model.

Changes in legal regulations cause that moving in them can cause difficulties. Regulations scattered throughout various legal and normative acts or in the act itself may be problematic. This also affects people who are educated at Doctoral Schools. Situations in which the doctoral student is not sure of his status or the possibilities he can obtain financial resources may be problematic. The presented fragment of the semantic network is to be a tool that allows free navigation through the legal regulation regarding education at the doctoral school. Ultimately, the presented semantic network is a template that specific regulations of a given doctoral school can supplement.

Constant changes in the forms of classes cause various reactions among students, which may oblige those leading to the search for new teaching methods. One of the currently popular methods is Design Thinking. Design Thinking is a method of designing innovative solutions that focuses on understanding users' needs. Article aims to indicate the use of an ontology to assess the legitimacy of using Design Thinking in conducting classes at universities using syllabus analysis. Among the research methods used by the authors of this article were computer simulations and usage scenarios in the Protégé editor. The decision criteria constructed by the authors were based on the fields in the subject syllabus. Among the important criteria of the decision, the authors distinguish the form of conducting classes, teaching methods, or the number of hours allocated to implementing the subject. As a result of the research, the authors constructed an ontology allowing managers of faculties and people conducting subjects to assess the appropriateness of using Design Thinking during didactic classes. In further work, the authors plan to develop the ontology with additional criteria regarding the subject's characteristics and other creative problem-solving methods.

The authors present a proposal for using data simulation tools to create and improve parking space management processes in the article. This paper aims to identify available data sources concerning parking space management and prepare preliminary simulations using the Digital Twin method. The problem of optimization and effective management of parking spaces is one of the main problems faced by modern cities. Therefore, in creating Smart Cities solutions, more and more attention is focused on the possibilities of using advanced ICT tools to improve these processes. According to the authors of the article, such a method can be the creation of the so-called Digital Twin. In order to present the simulation possibilities that can be achieved by using a Digital Twin, the authors identified the chances of obtaining the data resources necessary for creating the simulation. Identification and evaluation of data sources had a character of a pilot study and referred to four car parks located in Wroclaw. The theoretical considerations and research presented in the paper are elements of research on creating Smart City solutions carried out by the team of authors.

The work presents an analysis of the possibilities of applying it systems modeling methodologies in the management of legal knowledge. Legal knowledge is a specific type of knowledge that is characterized by a unique dynamic, which is law. The constant volatility of legal regulations means that in some areas, e.g. accounting, it can cause unnecessary errors in the books, as well as cause costs in the form of penalties. The area of application of ICT tools in supporting the management of legal knowledge in Poland has not yet been examined, which allows us to conclude that this article goes in the direction of filling gaps. The research method used is an experiment consisting in creating a model of legal knowledge management using ontology. The experiment used the classic approach to creating IT solutions based on UML notation.

The authors present the determinants of the use of predictive analysis to support decision-making processes in the area of investment project portfolio management. The requirements are analyzed on the example of investment project portfolios of a mining company. The research is complemented by the description of already conducted tests, where predictive models have been created to determine most effective algorithms and key project attributes allowing to predict possible budget deviations. The proposed requirements for the implementation of the predictive analysis can be applied in other organizations managing projects according to project management methodologies with access to structured project data.

The authors propose a method for medical data analysis aiming to determine risk groups. The method uses association rules generation and the analysis of a selected target feature. The method is presented with an example of patient analyses in regard to the possibility of suffering a stroke. The method is universal and can be used also for other medical dataset analyses leading to risk group identification.

The authors present a method of supporting decision-making processes with the use of predictive analytics. The method is presented with an example of investment project portfolios of a mining company. In the research multiple predictive models have been tested to determine most effective algorithms and key project attributes allowing to predict possible budget deviations. The proposed approach can be applied in other organizations managing projects according to project methodologies with access to structured project data.