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  <title>DSpace Зібрання:</title>
  <link rel="alternate" href="https://repository.hneu.edu.ua/handle/123456789/30906" />
  <subtitle />
  <id>https://repository.hneu.edu.ua/handle/123456789/30906</id>
  <updated>2026-04-03T18:27:40Z</updated>
  <dc:date>2026-04-03T18:27:40Z</dc:date>
  <entry>
    <title>Digital transformation as a factor of changes in the organizational behaviour of international companies</title>
    <link rel="alternate" href="https://repository.hneu.edu.ua/handle/123456789/32414" />
    <author>
      <name>Piddubna L.</name>
    </author>
    <author>
      <name>Gorobynskaya M.</name>
    </author>
    <id>https://repository.hneu.edu.ua/handle/123456789/32414</id>
    <updated>2025-03-31T10:34:12Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Назва: Digital transformation as a factor of changes in the organizational behaviour of international companies
Автори: Piddubna L.; Gorobynskaya M.
Короткий огляд (реферат): Digitalization is an essential process for enterprises in the post-industrial economy, which contributes to increasing their competitiveness and opens up new opportunities for involvement in global digital value chains. Digitalization practice provides for developing recommendations and algorithms for overcoming and preventing errors within the scientific discourse, thus the aim of the article was to determine the impact of digital technologies on the organizational behaviour of international companies and generalize causes of digital transformation failure. Changes in organizational behaviour under the influence of digitalization have been systematized using the generalization method. The causes of unsuccessful digital transformations in organizations have been structured using the five-stage digital transformation model. The main factors of failures at each stage have been discovered. At the stage of automation errors result from the failure to understand the mission and value of the business and to implement digital technologies. At the isolated stage the negative factor is the insufficient support of priority changes and the wrong choice of what exactly needs to be transformed. It has been discovered that at the stage of partial synchronization systemic digital transformation is hindered by an ineffective change management strategy or an insufficient number of transformation projects for adequate change of the overall operation. Problems with the organizational structure or digital literacy can lead to the disruption of digital transformation at the stage of full synchronization. The risks of continuous transformation stage result from losing the priority, ensuring the transformation, due to inflexible culture, lack of discipline regarding the constant identification of new business disruption risks and responding to them. The practical significance of the present research is stipulated by the proposed recommendations for changes in the organizational behaviour of companies that will reduce the risks of failures in particular and failures of digital transformation as a whole.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Global financial cycle: Impact on Ukraine</title>
    <link rel="alternate" href="https://repository.hneu.edu.ua/handle/123456789/32413" />
    <author>
      <name>Kosarchyn M.</name>
    </author>
    <id>https://repository.hneu.edu.ua/handle/123456789/32413</id>
    <updated>2025-03-31T10:36:15Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Назва: Global financial cycle: Impact on Ukraine
Автори: Kosarchyn M.
Короткий огляд (реферат): Global financial fluctuations that arise in the financial centres – the US and the EU through international channels of monetary transmission affect the financial markets of peripheral countries, including Ukraine, where the assessment and consideration of such an impact is an important element of monetary policy. Therefore, the purpose of the article was to assess the impact of cyclical fluctuations of the global financial situation on the financial sector of Ukraine’s economy. As a result of correlation analysis, a direct relationship between leverage indicators in Ukraine and the Chicago Board Options Exchange Volatility Index and Euro Stoxx Volatility Index has been revealed. At the same time, the direct relationship between these indices and the growth of domestic credit in Ukraine contradicts the concept of the global financial cycle and may indicate the presence of more important factors of domestic credit. Correlation analysis of the volatility index of the Chicago Board Options Exchange and capital flows in Ukraine showed that in the years of increased global uncertainty and volatility, the volume of capital flows decreased, especially for portfolio debt instruments. Analysis of the cyclical components of the global and domestic credit cycle in Ukraine obtained with the Godric-Prescott filter indicates a higher level of volatility in domestic lending. The obtained value of the concordance coefficient did not make it possible to draw an unequivocal conclusion about the counter- or procyclical nature of domestic credit fluctuations relative to the global volume of loans in the non-banking sector. It has been found that the global financial cycle was not a significant factor in domestic credit in Ukraine in the studied period. The practical significance of the results lies in the fact that the National Bank of Ukraine will be able to implement a monetary policy independent of the global financial fluctuations and limit the outflow of capital during the period of growing uncertainty in the international financial markets.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Methods for assessing corporate social responsibility in the retail business</title>
    <link rel="alternate" href="https://repository.hneu.edu.ua/handle/123456789/32412" />
    <author>
      <name>Zmicerevska D.</name>
    </author>
    <author>
      <name>Konstantynovskyi L.</name>
    </author>
    <id>https://repository.hneu.edu.ua/handle/123456789/32412</id>
    <updated>2025-03-31T10:37:32Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Назва: Methods for assessing corporate social responsibility in the retail business
Автори: Zmicerevska D.; Konstantynovskyi L.
Короткий огляд (реферат): Corporate social responsibility is a complex concept that characterizes the activities of a company in various areas and requires evaluation of activity using specific methods. As retail has unique characteristics that distinguish it from other industries, there are limitations to the methods that can be used, and it is relevant to explore these methods. The purpose of the article was to analyse the methods of assessing corporate social responsibility in the retail sector, identifying their advantages and disadvantages and reviewing the peculiarities of their application in retail. The study uses scientific methods of analysis and comparison. The article categorizes methods of assessing corporate social responsibility by goals, time frames, focus, duration, scale and approach. A comprehensive assessment of various methods for measuring the level of corporate social responsibility development in retail companies was provided. This assessment includes an analysis of the advantages and disadvantages associated with each approach as well as a study of the potential opportunities for their application in the context of retail trade. This assessment identified the most effective and appropriate methods for evaluating corporate social responsibility in retail, taking into account the unique challenges and opportunities that exist in this industry. However, the analysis of methods for assessing the state of corporate social responsibility does not provide a uniform understanding of which one is universal and absolutely suitable for every retail company. The practical significance of the research lies in the possibility of applying these developments by retail companies when choosing a method for evaluating the state of corporate social responsibility.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Hybrid approaches to machine learning in software development: Applying artificial intelligence to automate and improve processes</title>
    <link rel="alternate" href="https://repository.hneu.edu.ua/handle/123456789/32411" />
    <author>
      <name>Zarichuk O.</name>
    </author>
    <id>https://repository.hneu.edu.ua/handle/123456789/32411</id>
    <updated>2025-03-31T10:38:59Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Назва: Hybrid approaches to machine learning in software development: Applying artificial intelligence to automate and improve processes
Автори: Zarichuk O.
Короткий огляд (реферат): The study on hybrid machine learning approaches is relevant because these approaches have great potential to improve predictive accuracy and software automation, and their use is becoming more widespread. The purpose of this study was to provide recommendations for the use of hybrid machine learning methods and analyse the areas of application of artificial intelligence, which is used to automate and improve processes. Problems related to hybrid approaches to machine learning were identified using the analytical method. The use of the statistical method allowed assessing the development of stability and performance of hybrid machine learning approaches. Features and differences of machine learning in the field of software development are noted. Errors and reasons that are made when improving development processes are analysed. It is established that a comprehensive analysis of the functioning of artificial intelligence is important to assess its effectiveness, development, and complexity of work in automation and improvement of development. The issues of evaluating the work of this type of approach, the expediency of their use, limitations in the process, and the impact of restrictions on the result are considered. It is determined that the use of artificial intelligence in the process of automation and improvement of development processes will improve the quality of resource optimisation. The study offers recommendations that will contribute to the effective regulation of this issue. The practical value of the study lies in the possibility of applying the results obtained to eliminate errors in the development and improvement of hybrid approaches, investigating the reliability of using artificial intelligence, considering various factors that serve as the basis for recommendations on appropriate use.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
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