Svitlana Bilan’s research while affiliated with Széchenyi István University and other places

This study aims to examine how different types of pro-environmental video content (featuring humans versus AI-generated characters) influence household waste sorting attitudes and behaviors among Ukrainian residents. The research was conducted in two stages using a mixed-method approach. In the first stage, 102 individuals aged 18–45 watched two videos on waste sorting and completed an online questionnaire. Cluster and variance analyses were performed using Statistica software. In the second stage, 35 participants underwent a laboratory-based emotion analysis using iMotions software, heart rate monitors, and galvanic skin response sensors at the Behavioral Lab of Sumy State University (Ukraine) from May to July 2024. The results revealed that videos featuring real people were more effective in generating interest (average rating: 3.5 vs. 3.2) and emotional engagement, particularly joy and contempt, which were the most frequently expressed emotions. Cluster analysis identified four distinct respondent groups. Cluster 1 (39.2%) – primarily young women – responded positively to human-led videos but showed limited behavioral change. Cluster 2 (19.6%) – women aged 26–35 – reacted positively to both videos and were most willing to adopt waste sorting behavior. Cluster 3 (23.5%) – primarily men – showed moderate engagement and sorted waste occasionally. Cluster 4 (17.6%) – highly educated women – exhibited the least positive responses and were least likely to change their behavior. The emotion analysis confirmed that videos featuring real people elicited stronger emotional responses across all categories, whereas AI-generated videos prompted higher levels of anger but generally weaker engagement. AcknowledgmentsThe authors would like to acknowledge the Behavioral Laboratory at Sumy State University for providing the essential facilities and resources that enabled the successful completion of this research. Additionally, sincere appreciation is extended to all study participants for their valuable time, commitment, and contributions, which significantly enriched our understanding of consumer behavior related to waste management and the perception of advertising content.The research is supported by the International Visegrad Fund: Visegrad Fellowship Program. Project № 62410031, “Marketing research consumer behaviour in the waste management system”, and by the budget of the Ministry of Education and Science of Ukraine (research topic 0123U100112 “Post-war recovery of the energy industry of Ukraine: Optimization of waste management taking into account the health of the population, environmental, investment, tax determinants”.

The study explores the impact of artificial intelligence (AI) technologies on project management (PM) across different industries. It aims to assess how AI adoption in PM affects project efficiency. The study surveyed 159 project supervisors and specific project managers implementing projects from 7 industries in the Republic of Kazakhstan: software, green energy, engineering, construction, science, transport, and tourism. The research used variance and linear regression analyses to evaluate the relationship between AI adoption and project efficiency level measured by the Likert scale from 1 to 5 and test the associated hypotheses. The results show that AI adoption varies among industries, with software, construction, and scientific projects being the most active users. The study also found that the use of AI differed across eight project performance domains, with the stakeholder domain using voice technologies and process automation and the uncertainty domain using fewer tools. Projects with higher AI adoption rates showed higher efficiency scores (for example, in Software projects, the AI adoption rate is 3.2; the efficiency rate is 3.3), while those with lower efficiency levels (for example, in the Tourism industry, the AI adoption rate is 1.9; the efficiency rate is 2.2) showed the worst results. Decision-making systems, process automation, and voice technologies are the three most critical AI technologies PM professionals use to improve project efficiency. Acknowledgments This research has been funded by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP19680313).

This study examines the mediating role of self-efficacy and stress perception in the relationship between work-family conflict and emotional exhaustion in healthcare workers. The study's primary purpose is to reveal the effect of work-family conflict on the emotional exhaustion levels of healthcare workers and to understand how individual factors such as self-efficacy and stress perception affect this process. The study's central question is, “Is there a significant relationship between work-family conflict and emotional exhaustion, and what role do self-efficacy and stress perception play in this relationship?” The study was designed as a cross-sectional design with a quantitative approach. The study sample consisted of 313 healthcare workers working in public and private hospitals in Turkey. The data were determined using the convenience sampling method. The data were analysed using structural equation modeling (SEM) to examine direct and indirect relationships between variables. According to the analysis results, a significant and positive relationship was found between work-family conflict and emotional burnout. It was determined that the perception of stress strengthened this relationship, while the perception of self-efficacy weakened it. While the work-family conflict was observed to cause less burnout in individuals with high self-efficacy levels, it was determined that emotional burnout levels increased even more in individuals with a high perception of stress. These findings emphasize the effect of individual factors on the professional and personal balance of healthcare professionals. This study confirms the adverse effects of work-family conflict on the emotional burnout levels of healthcare professionals. The research findings show that self-efficacy is a protective factor, while perception of stress is a risk factor. Increasing self-efficacy is critical in ensuring work-family balance and reducing the risk of emotional burnout in healthcare professionals. These results indicate that institutional strategies should be developed to reduce the emotional burnout levels of employees in the healthcare sector. Additionally, flexible working hours and family-friendly policies are recommended to reduce work-family conflict.

This study examines the complex relationships between economic growth and income inequality in different regions of Kazakhstan, revealing the nuances of their interaction. The article aims to assess the long-term and short-term effects of economic growth on income inequality in both forward and reverse directions across the regions of Kazakhstan. Employing region-specific time series data allowed us to examine the bidirectional impact of economic growth on inequality, using an error correction model (ECM) to describe short-run and long-run relationships. The results highlight that the relationship between economic growth and income inequality is heterogeneous across regions, reflecting each area's unique economic and social landscapes. The estimation results support the hypothesis of an inverted U-shaped Kuznets curve linking GRP per capita to inequality with varying starting points for different regions. Regarding the inverse relationship, we identified a positive causal relationship for the West Kazakhstan, Zhambyl and Pavlodar regions, indicating that increased income inequality stimulated economic growth. The study also highlights the significant role of trade, labour force, investment and government consumption in shaping these relationships.

The Industrial Revolution 4.0 and the ongoing development of technology result in a digital transformation which forces higher education institutions (HEIs) to introduce significant changes. These changes necessitate a new approach that encompasses not only learning methodologies but also the university’s culture, strategy, and systemic activities. In this article we present a new, unique model of Digital Pedagogies and Digital Quality Management exemplified by the case applied approach. The model shows the intersection of the‘Digital learning foundation’,‘ Enabling factors’(digital flexibility and digital learning tools),‘Systematic quality of learning management’ and ‘Challenges of Digital Flexibility’ in HEIs. The proposed model applies practices and recommendations for Universities of Applied Sciences, making it worth disseminating in this context. The model can be useful and beneficial for facilitating peer-to-peer networking in practically oriented HEIs. The results section discusses the empirical results, supported by direct quotes from interviewees and structured codifications and proposition of model dynamics. The final section of the article describes key conclusions and limitations of the model. This study provides valuable insights for university authorities, educators, and policymakers on how digital transformation influences digital pedagogies, quality management, and finally the transition of HEIs.

The main aim of the study is to test the hypothesis that social expenditures are not only a source of social support and budgeting of the social sphere, but can be a significant lever of economic development, provided proper planning of their share and volume. In this regard, the authors have adapted the open-economy multiplier to assess the economic effect of social expenditures. Based on the correlation analysis of the relationship between the share of social expenditures (% of GDP) and the multiplier of social expenditures, conducted on the example of EU countries, two groups of countries are identified depending on the impact of social expenditure multiplier on GDP: the first one embraces those countries that are characterized by a growing economic return from social expenditures; the second one is where the return is declining. To determine the optimal levels of social expenditures, which can be expected to have a positive economic effect in the form of GDP growth, we have identified critical limits of the multiplier of social expenditures according to the principle: the maximum value is seen in the group of countries with positive impact; the minimal one is experienced in countries with inverse dependence of the share of social expenditures and their multiplier. As a result, the experience of financing social expenditures in the EU leads to the conclusion that the optimal share of social expenditures in GDP ranges from 28% to 30% – within these limits multiplier values exceed 1.0, i.e. there is a positive impact of social expenditures on GDP in the form of the growth of economic results over the resources consumed.

The main aim of the study was to investigate the acculturation strategies and life satisfaction of Belarusians and Ukrainians living in Poland. The study participants (N = 423) provided socio-demographic data about themselves, when they came to Poland (before or during the Russian invasion of Ukraine), and filled in the acculturation and the life satisfaction questionnaires. The results indicated no difference in acculturation, education, or economic status between the Belarusians and the Ukrainians. The positive relationship between economic status and life satisfaction, unsurprisingly, was evident. However, it was found that marginalization, discrimination, and assimilation as acculturation strategies were salient among participants who came to Poland before the Russian invasion of Ukraine. The migrants who entered Poland during the war showed sedate attitudes towards Poland. The relationship between the migrants' economic status and the moment of migration (before vs. during the war) and attitudes towards integration became clear. Poor and middle-class migrants consistently show a rather high degree of preference for the best acculturation strategy-integration. Meanwhile, the rich participants showed the highest integration before the war, but the rich who came during the war exhibited the lowest level of integration. This is explained based on the economic literature. JEL Classification: D06, E24

The aim of this paper is to examine the impact of work engagement of different generations on organisational engagement. In addition, the study seeks to determine whether there is a difference in work engagement and organisational engagement across generations. Data, gathered from a sample of 3 039 employees in Lithuania, were analysed through the Kruskal-Wallis test and the structural equation modelling (SEM). The non-parametric analysis (Kruskal-Wallis test) was performed to determine if there were statistically significant differences between the level of work engagement and the level of organisational engagement of employees across four different generation groups. The multi-group SEM analysis was used for testing the differences in the impact of work engagement of different generations on organisational engagement. The study confirmed the hypothesis that work engagement has a positive impact on organisational engagement for all generations. Moreover, statistically significant differences were found between the level of work engagement and the level of organisational engagement across generations. This study expands current knowledge on the interrelationship between work engagement and organisational engagement. Further, the level of work engagement and organisational engagement revealed in the context of generations makes for a novel contribution to the topic of employees’ engagement in the perspective of different generations.

This study proposes an approach to the external evaluation of medical education programs' quality based on a combination of indicators, including international rankings, external stakeholders' input, and independent agencies' assessments. We modify the success equation with a detailed consideration of the skill component and its decomposition into internal and external quality assurance elements along with authority. We carried out a bibliometric analysis regarding the problem of medical education quality assessment in the context of achieving sustainable development goals. We described the calculation model of external quality assessment indicators through the algorithms of independent education quality assurance agencies' activity and rating indicators shown in the modified Mauboussin's equation. The model considers the economic component (the consequence of achievement) of skill, which is expressed in raising funds from external sources to implement educational and scientific activities. The proposed algorithm for assessing the educational program quality can be applied to benchmark educational program components, complete educational programs within the subject area, and the educational institution for different areas. We propose a “financial” model for educational program quality based on the analysis results. The model makes it possible to determine the need for additional focused funding of the educational program based on the individual analysis of the external evaluation criteria of the achievement level. This study analyzes the accreditation results of more than 110 educational programs in 2020 and 8 months of 2021 within the direction 22 “Medicine” (according to the national classification of fields of knowledge) (state and private Ukrainian medical universities).

The article deals with creating the innovation transfer model “science - production – business”. It is based on quantitative indicators for assessing the external environment and market analysis, the landscape for implementing the development and introduction of innovation and evaluating the internal environment and the level of readiness for implementation. The authors provide ways of commercializing the scientific research results and describe the role of an entrepreneurial university in achieving the main tasks of innovation and technology transfer. A combined SPACE-RL model for assessing the prospects for new scientific ”products” concerning external and internal influencing factors is proposed. The SPACE matrix, from a subjective assessment tool based on qualitative indicators determined by experts, has turned into a SPACE-RL model, in which it is possible to compare the entrepreneurial university's capabilities in terms of the strategy of bringing the invention to the market and the readiness of the invention to become innovation The SPACE-RL model maximally objectifies the innovation transfer process, reducing the influence of qualitative factors on decision-making.