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    <dc:date>2026-04-04T10:18:06Z</dc:date>
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    <title>Expert assessment of socially responsible activities of enterprises using the goal tree method on the example of the printing industry</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/32448</link>
    <description>Назва: Expert assessment of socially responsible activities of enterprises using the goal tree method on the example of the printing industry
Автори: Potrashkova L.
Короткий огляд (реферат): Socially responsible activities of enterprises are difficult to measure and, as a consequence, to diagnose. The most common method of evaluating socially responsible activities of an enterprise is expert evaluation. The disadvantage of this method is the high level of subjectivity and intuitiveness. The specified problem determined the purpose of the research – to develop an approach to evaluate the results of enterprises’ activities in the aspect of social responsibility, which would allow to involve experts only at the stage of formalising social responsibility norms, and the actual level of fulfilment of these norms should be calculated not by expert means, but on the basis of objective data on the enterprise’s activities. To fulfil the set aim, the work developed an approach to evaluate socially responsible activities of enterprises based on the application of the goal tree method. The paper proposes a procedure for building and quantitative analysis of a goal tree in the aspect of social responsibility, which involves taking into account: 1) expert assessments of social responsibility norms; 2) objective data on compliance with the norms of social responsibility at the analysed enterprise; 3) expert evaluations of the enterprise’s capabilities to comply with these norms; 4) values of parameters of the external environment that affect these capabilities. The procedure for building and quantitative analysis of a goal tree in the aspect of social responsibility is demonstrated on the example of the printing industry. The proposed approach allows: to evaluate social results of the company’s activity; to analyse problems and external limitations in the aspect of social responsibility; to formulate tasks of reducing external limitations on the enterprise’s capability to fulfil the norms of social responsibility. This will contribute to increasing the efficiency of the decisionmaking process for managing results of the enterprise’s socially responsible activities.</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://repository.hneu.edu.ua/handle/123456789/32447">
    <title>Visualization of algorithms on graphs with a large number of vertices: The features of applications design</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/32447</link>
    <description>Назва: Visualization of algorithms on graphs with a large number of vertices: The features of applications design
Автори: Gryzun L.; Shcherbakov O.; Parfonov Yu.; Bodnar L.
Короткий огляд (реферат): The task of visualization of large graphs as a special data structure and algorithms on them is considered by scientists and practitioners as a complex and non-trivial problem. The analysis of scientific works and existing software applications that implement similar functions of the subject domain testifies the relevance of expanding exploration in the lines of identifying the features of the development of applications for the visualization of large graphs and algorithms on them. The formulation of features and recommendations for the development of such software and presentation of the software module designed by the authors is the aim of the article. In the course of the work, the main features of the development of a program for the visualization of graphs with a large number of vertices were identified and formulated using methods of analysis and graph theory. Special recommendations on the essence of each of the stages of development of such applications were provided and those steps that are most important for developers in terms of the complexity of processing and visualization of large graphs, metrics of their layout in the application screen, etc. were identified. A software module developed by the authors, that provides a unified application programming interface for visualizing any algorithm on graphs, which allows to save time working on utility software and focus more on solving algorithmic problems is also presented. The presented module was developed by the authors taking into account the identified recommendations. A comparative analysis of the developed software module and analogues was carried out, which proved the extended functionality of the module for the visualization of graphs with a large number of vertices. The module is a practically valuable tool for data structures researchers and other experts working on graph algorithms, since it enables data visualization at debugging software and simplifies the analysis of large data structures.</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://repository.hneu.edu.ua/handle/123456789/32446">
    <title>Improvement of line image reproduction in the system of prepress engineer work</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/32446</link>
    <description>Назва: Improvement of line image reproduction in the system of prepress engineer work
Автори: Pushkar O.; Hrabovskyi Ye.
Короткий огляд (реферат): In order to optimise the process of prepress engineer work, it is necessary to provide a high-quality display of the line image, which ensures the most accurate transfer of the geometric dimensions of individual elements. The purpose of the article was to determine the degree of influence of the binarization threshold on the resolution value of raster line images. The experiments were based on the use of general scientific methods of analysis, generalisation, classification, deduction. To assess the quality of line image reproduction in this paper, photoforms were employed using a line test object which was designed as an accurate photograph with the use of an optical density distribution profile. The paper examines the influence of various parameters of raster structures on the playback quality of reproductions. The specifics of using a photo output device as the main link, which ensures the reproduction quality of image details, have been determined. The geometry of the raster structure when using rotation angles with rational tangents has been analysed. Features of the Accurate Screening technology have been systematised. The difference between “rational” and “irrational” rasterization methods has been considered. The main aspects of the use of line details in the reproduction process have been considered. The proposed method for assessing the quality of a line image reproduction with an uneven edge has been called the “signal-to-noise ratio” method, and it has been concluded that the scanning stage affects the quality of image reproduction to a greater extent than the photo output. The practical result of the work is the development of recommendations that can find practical application in reproduction processes. The developed binarization algorithms allow processing of images with significant zonal brightness unevenness, with monotonous brightness areas, and highly noisy images.</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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  <item rdf:about="https://repository.hneu.edu.ua/handle/123456789/32445">
    <title>Scientific approach to the formation of stakeholder interaction in the innovative economy</title>
    <link>https://repository.hneu.edu.ua/handle/123456789/32445</link>
    <description>Назва: Scientific approach to the formation of stakeholder interaction in the innovative economy
Автори: Ostapenko V.
Короткий огляд (реферат): The relevance of involving stakeholders in the decision-making process is due to the need to identify, group and classify them based on their circumstances or views on potential business conditions that can be realised, which will allow predicting interaction with stakeholders in conditions of dynamic opportunities. The purpose of the study was to define stakeholder interaction as a normative concept with implementation practice that can stimulate the development of theory and provide practical application in practice. The basis of the formation of a scientific approach to the formation of the interaction of stakeholders in the innovative economy were such methods as structural and comparative analysis, the method of generalisation. A scientific approach to the formation of stakeholder interaction is proposed, which involves an integrated process of their interaction in an innovation network based on dynamic capabilities with elements of model variable analysis. This enables the adjustment of the elements of the innovation network, the nature of relations with stakeholders and promotes the evolution of commitment, relations and knowledge sharing between stakeholders, as well as the adjustment, reflection and adaptation of interaction with stakeholders and consists of: the formation of an information space to define the components of the innovation network and relationships in the process of stakeholder interaction; implementation of the process of interaction of stakeholders in conditions of dynamic opportunities; reasoned choice of management decisions regarding the impact on the interaction of stakeholders. The research findings reflect a stakeholder interaction framework based on a process of identification, organisation and transformation integrated into co-creation and value, innovation network and knowledge sharing. The obtained results can be applied in the practical activities of state authorities and local governments, higher educational institutions, state enterprises, organisations and institutions, private entrepreneurial structures in the formation of intellectual, scientific resources and information technologies, effective use and qualitative improvement of all factors of production, which will contribute development of a new quality of public-state relations.</description>
    <dc:date>2022-01-01T00:00:00Z</dc:date>
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