Szonja Jenei
57298303900
Publications - 14
Beyond Corporate Division: Knowledge and Connections Lead to New Corporate Successes
Publication Name: International Journal of Knowledge Management
Publication Date: 2025-01-01
Volume: 21
Issue: 1
Page Range: Unknown
Description:
The success of modern companies in today’s complex business environment depends on effective knowledge management, especially during corporate divisions. The research explored how knowledge flow and relational networks impact the success of new ventures during such transformations. An organization that underwent a division was studied, and statistical methods, including distributions, cross-tabulations, and Spearman’s correlation, were used to analyze the data from a quantitative survey. The findings indicate that successful new companies are closely linked to knowledge sharing, ethical leadership, and integrating existing and new relational networks. A positive correlation was also found between company success, innovation, and leadership quality. This study offers fresh insights into corporate divisions and knowledge management, highlighting the role of ethical leadership and strategic use of knowledge to support sustainable development and improve business outcomes.
Open Access: Yes
DOI: 10.4018/IJKM.363639
Coping strategies for financial problems: Based on Hungarian data from the OECD 2022 annual report
Publication Name: International Journal of Innovative Research and Scientific Studies
Publication Date: 2025-01-01
Volume: 8
Issue: 4
Page Range: 407-418
Description:
The aim of this study is to explore the role of demographic factors in strategies to address financial problems, based on data from the OECD Financial Literacy Survey 2022 in Hungary. The analysis focused on differences in age, gender, type of residence, income, and region. The research used multivariate statistical methods, such as canonical correlation analysis and Ridge regression, to identify associations between demographic factors and financial behavior. The results showed that region and age are the most significant determinants of financial strategy choice, while education and income have a smaller impact. Residents in Budapest showed higher financial awareness and more diversified strategies compared to a more traditional approach for rural residents. The results suggest the development of targeted financial education programs that take demographic and regional differences into account, thus supporting the enhancement of financial stability.
Open Access: Yes
NUTS2 regions of the Visegrad countries during the Covid-19 pandemic and recovery
Publication Name: Regional Statistics
Publication Date: 2025-01-01
Volume: 15
Issue: 3
Page Range: 418-438
Description:
The study examines the economic recovery of NUTS2 regions in the Visegrad Group (V4) countries after the Covid-19 pandemic. Using Ferenc Jánossy’s trendline theory, the authors assess recovery by comparing current development levels to pre-crisis trends, not just pre-pandemic levels. The focus is on gross domestic product (GDP) per capita adjusted for purchasing power parity (PPP) to gauge recovery duration and influencing factors. It also investigates the changes in peripheral area lags due to the pandemic across these regions. The study finds that numerical values are less relevant due to distortion, but comparisons using consistent methodology reveal regional impacts, opportunities, and effective practices. It highlights significant regional differences: areas with diversified economies and adaptable sectors, like Łódź Voivodeship (Łódzkie) in Poland and the Bratislava Region (Bratislava) in Slovakia, fared better, while tourism and service-dependent regions struggled more. The analysis underscores the importance of sectoral diversity and adaptability in crisis mitigation. Slovakia and Hungary experienced varied impacts due to economic policies and structural characteristics. The Bratislava Region (Bratislava) adapted quickly while Budapest’s dominance grew, increasing rural underdevelopment. Regions reliant on tourism, such as Prague (Praha) and Balaton, saw severe declines, whereas agriculture and industry sectors remained relatively stable. We are also planning the second part of the study, supplemented with 2024 data, using our current experiences.
Open Access: Yes
DOI: 10.15196/RS150302
Strategic Importance of Corporate Communication and Leadership Styles in the Performance of Slovakian SMEs
Publication Name: Journal of Ecohumanism
Publication Date: 2024-11-10
Volume: 3
Issue: 8
Page Range: 8155-8167
Description:
Effective internal communication plays a key role in shaping organisational culture, increasing employee satisfaction and improving performance, especially in small and medium-sized enterprises (SMEs). The purpose of this study is to examine the impact of two-way communication and leadership styles on the employees of Slovakian SMEs, with a particular focus on the challenges posed by the pandemic COVID-19. A mixed methodology was used in the research, which included questionnaire data collection and statistical analysis of the results to explore the frequency and effectiveness of communication and the impact of leadership styles on conflict management. The results highlight that assertive communication and two-way information flow help to increase trust and commitment while having a positive impact on employee motivation and job satisfaction. However, hierarchical communication gaps and inappropriate leadership styles often lead to dissatisfaction and inefficiency. The research has also shown that sustainable development goals, such as incorporating the principles of a circular economy, can contribute to increasing the effectiveness of internal communication and strengthening organisational stability. The new communication challenges brought about by the pandemic, including the consequences of remote working such as feelings of isolation and difficulties in information flow, further reinforce the importance of effective management practices and communication strategies. The paper offers practical suggestions for optimising internal communication systems that can help to increase organisational resilience, improve employee well-being and implement effective leadership practices. The results can contribute to the development of communication strategies and the achievement of organisational success in SMEs.
Open Access: Yes
Hungarian Battery Production – Public Opinion on Sustainability, Labor Market and the Environmental Protection
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 691-696
Description:
Transportation in the 20th century was linked to hydrocarbons. The first steps of the transition to electric propulsion are currently underway. Technical experts are still debating whether this is the ideal solution while producing the batteries required for the method has begun. One of the main areas of high-speed industrialization is Hungary. The government's intention is clear, primarily to increase GDP and create jobs. The population knows that jobs can only be filled by foreign, immigrant workers and is extremely worried about possible accidents during production and destruction. The research aims to explore the opinions in detail and examine the possibilities of approximating different positions. This quantitative study found that the respondents would like to live at an unrealistically large distance from such facilities. Many people want the battery factories to be banned or the investments to be stopped, and the fact that very few people are informed from the literature plays a significant role. The greatest fear is experienced among the middle-aged, and we justify our findings with social facts and negative events. In order to resolve the tensions, it is recommended to educate the masses on the one hand, and on the other hand, stricter control, and more significant sanctions. These methods ensure that negotiations between the population, civil organizations, and companies end with a compromise created by a debate supported by arguments in civilized conditions.
Open Access: Yes
DOI: 10.3303/CET23107116
Hungarian Battery Production - Analysis from the Perspective of Environmental Protection and the Labour Market
Publication Name: Hrvatski Geografski Glasnik
Publication Date: 2024-01-01
Volume: 86
Issue: 2
Page Range: 5-17
Description:
In the 20th century, transportation heavily relied on hydrocarbons. Currently, the initial transition to electric propulsion is being witnessed.There's an ongoing debate among technical experts regarding its effectiveness alongside the start of battery production. Our research focuses on the labour market impact of companies operating in battery manufacturing, component production, and disposal in Hungary, as well as the opinions of local residents regarding the establishment of these organizations. Our research aims to track the differences and similarities between the governmental standpoint and the population's views. Hungary stands out for its rapid industrialization, focusing on enhancing GDP and job creation.The population is concerned about employing immigrant workers and potential battery production and disposal accidents. Our qualitative study adheres to the European Green Deal principles, including insights on battery manufacturing from transportation experts, manufacturers' associations, and environmentalists. Our quantitative research shows a preference for living at an unrealistic distance from such facilities. Many citizens advocate for the cessation of battery factory operations or investments, a stance mainly due to limited public awareness. Middle-aged individuals exhibit the most fear, and we correlate our findings with societal facts and negative incidents. To mitigate these tensions, mass education, tighter regulation, and increased sanctions are recommended.
Open Access: Yes
Obstacles to Finding the Ideal Workplace: A Gender-Based Analysis Across the V4 Countries
Publication Name: Emerging Science Journal
Publication Date: 2025-08-01
Volume: 9
Issue: 4
Page Range: 2261-2274
Description:
This study explores gender-specific barriers to finding an ideal workplace in the Visegrád countries (Czech Republic, Hungary, Poland, and Slovakia), where similar historical and socioeconomic contexts shape labor market inequalities. Based on the relevant literature, women are disproportionately affected by challenges related to language proficiency, professional networks, and mobility. The research applied a quantitative methodology, including chi-square tests, multiple logistic regression, and cluster analysis, using SPSS Statistics software to analyze the survey data. Findings revealed significant gender disparities. Women report greater difficulties with language and mobility, particularly in Hungary and Slovakia, whereas men benefit more from strong professional connections. The cluster analysis identified three respondent groups: those hindered by language barriers, those with weak networks, and those facing limited mobility. International experience mitigates language challenges, and robust networks ease job search difficulties. In line with the ideals of a circular society, this study also explores how circularity, inclusiveness, and collaboration can help break down gender-based barriers in the labor market. The study’s novelty lies in its comparative regional focus and the integration of statistical methods to segment job-seeker profiles. These insights highlight the need for targeted policies that enhance language skills and foster professional networking opportunities, especially for women. By addressing these barriers, policymakers can better support gender equality in labor market access across Central Europe.
Open Access: Yes
Corruption Perception in the Light of Green Transition Indicators
Publication Name: Sustainable Development and Green Innovation Managing Risk Through Interdisciplinary Approaches and Policy Strategies
Publication Date: 2025-10-27
Volume: Unknown
Issue: Unknown
Page Range: 219-236
Description:
Purpose: This study explores the relationship between green transition areas that promote sustainability and the perceived level of corruption across 41 countries. Need for the study: Corruption undermines sustainability efforts and environmental governance, creating a need to understand its interaction with green transition indicators. Methodology: The study uses data from the Bertelsmann Stiftung (BS) Sustainable Governance Indicators (SGI) 2022 report and Transparency International's Corruption Perceptions Index (CPI), deploying statistical methods to examine how environmental policy and participation in international treaties affect corruption. Findings: State performance in environmental policy significantly influences corruption perception, with effects enhanced by international cooperation. Gross greenhouse gas emissions emerge as the most influential indicator, negatively affecting corruption perception by increasing its presence. Practical implications: These findings call for integrating anti-corruption measures into environmental policy frameworks, fostering international collaboration, and enhancing transparency to advance sustainable development and reduce corruption risks.
Open Access: Yes
Europe’s Energy Shift: From Fossil Fuels to Renewable Energy
Publication Name: Emerging Science Journal
Publication Date: 2025-10-01
Volume: 9
Issue: 5
Page Range: 2384-2399
Description:
Objectives: This study explores the transformation of energy consumption in Europe between 2002 and 2022, focusing on the declining role of fossil fuels and the increasing significance of renewable and nuclear energy sources. The study also considers how countries with varying levels of economic development adopt different energy strategies and how these strategies correlate with shifts in energy usage. A circular economy approach that includes energy recovery from waste and resource reuse is a complementary aspect of sustainable energy transitions. Methods/Analysis: The per capita energy consumption data were analyzed through decile classification and cluster analysis to group countries with similar energy profiles. To explore the relationship between GDP and energy use—both total and renewable—linear and exponential regression models were applied. Outlier countries with atypical consumption trends were excluded to improve model reliability. Statistical analyses were conducted using SPSS, and Excel was used to support the visualization process. Findings: Six distinct clusters of energy consumption patterns emerged. In lower-and middle-GDP countries, renewable energy use showed a stronger exponential correlation with GDP growth than total energy use. While fossil fuel dependence has declined across most countries, the pathways taken have been diverse. High-GDP nations such as Iceland and Norway have demonstrated unique, resource-driven strategies. Novelty/Improvement: This study introduces a novel methodological blend of decilebased classification and clustering to enable clearer cross-country comparisons of energy use. The results also highlight the importance of excluding statistical outliers to improve regression precision. By integrating insights relevant to circular economy principles, the findings contribute to designing more effective and regionally adapted energy transition strategies.
Open Access: Yes
Knowledge or Confidence? Exploring the Interplay of Financial Literacy, Digital Financial Behavior, and Self-Assessment in the FinTech Era
Publication Name: Fintech
Publication Date: 2025-12-01
Volume: 4
Issue: 4
Page Range: Unknown
Description:
Purpose: The central research question of the study is how objective financial knowledge and subjective financial confidence interact and relate to digital financial behavior and the use of FinTech tools. By examining both objective knowledge refers to measured, test-based financial competence and subjective confidence denote self-assessed financial understanding, the research offers insight into the psychological and demographic drivers of FinTech use and perceived financial well-being. Design/methodology/approach: Based on the OECD’s 2023 international financial literacy survey, the study uses a nationally representative Hungarian sample. It employs non-parametric statistical methods, linear regression, and two-step cluster analysis. Three composite indicators, general digital activity, digital financial engagement frequency, perceived financial security were developed to measure general digital activity, frequency of digital financial engagement, and perceived financial security. Findings: Results reveal a moderate but significant correlation between actual and self-assessed financial knowledge. Men score higher on both measures, though self-assessment bias does not significantly differ by gender. Higher education and income levels are associated with stronger financial literacy and more frequent use of FinTech tools, while age correlates negatively. However, the accuracy of self-perception is not explained by these demographic factors. Cluster analysis identifies four distinct financial knowledge profiles and five consumer digital behavior types, revealing disparities in digital financial inclusion and confidence. Originality: This research contributes a multidimensional perspective on how consumer capabilities, attitudes, and digital behavior influence FinTech adoption. By integrating behavioral, demographic, and psychological factors, the study offers practical implications for targeted financial education and the design of inclusive, human-centered digital financial services—especially relevant for emerging European markets.
Open Access: Yes
Who gets to use ChatGPT? A global study on digital access and inequality in higher education
Publication Name: Social Sciences and Humanities Open
Publication Date: 2026-06-01
Volume: 13
Issue: Unknown
Page Range: Unknown
Description:
This study examines how national-level digital development – measured by the ICT Development Index (IDI) – affects university students’ use of ChatGPT. Special emphasis is placed on mediating factors that may influence this relationship, including technical access, institutional and linguistic support, and individual background characteristics, particularly in relation to educational equity and sustainability (SDG 4). The analysis is based on survey data from 20,242 students across 58 countries and applies multivariate statistical methods, including logistic regression, PLS-SEM modeling, and cluster analysis. The results indicate that students in countries with higher IDI scores are more likely to use ChatGPT, primarily because of more advanced digital competencies and greater technological access. The country of study proved to be a stronger predictor than citizenship, underscoring the key role of the local educational environment. Functional access emerged as the most decisive mediating factor, while institutional and linguistic support had a more indirect effect on usage. Cluster analysis identified three distinct student profiles and highlighted that a high level of digital infrastructure alone does not ensure the widespread adoption of generative AI tools. The study proposes a multi-level interpretive framework: at the macro level, national digital infrastructure; at the meso level, institutional and linguistic support; and at the micro level, individual characteristics – connected by functional access as a mediating dimension. This context-sensitive approach contributes to a more comprehensive and practice-oriented understanding of digital inequalities and the integration of generative AI in higher education, offering guidance for promoting inclusive and sustainable technology use.
Open Access: Yes
Gender-specific obstacles and employment disparities in the V4 countries: a study on finding the ideal workplace
Publication Name: Regional Statistics
Publication Date: 2026-01-01
Volume: 16
Issue: 1
Page Range: 100-131
Description:
Out of the European Union’s 104 NUTS 1 (Nomenclature of Territorial Units for Statistics – Level 1) regions, those belonging to the Visegrád Group (also known as Visegrád Four or V4), have been selected for this study due to their comparable socioeconomic characteristics and regional relevance. This study aims to determine whether the obstacles to finding the right employer and job role differ between genders in the V4. These regions, through their historical background and intensive economic relations, influence not only their own territories but also the economy and value system of the entire continent. The results show significant differences between the countries in terms of the types and intensity of barriers. In Hungary, language barriers play a crucial role in restricting participation in the international labour market. In Poland, unequal access to educational opportunities is predominant. In Slovakia, the lack of flexible work arrangements tailored to family responsibilities emerged as the most significant obstacle. In certain areas of the Czech Republic, the influence of traditional gender roles was decisive. By identifying these barriers, this study contributes to understanding how gender disparities shape job-seeking experiences across the V4 countries. The research highlights that understanding the differences between countries is essential for a deeper comprehension of labour market barriers. Based on these findings, targeted measures are required, such as expanding language training in Hungary, making educational opportunities more accessible in Poland, and promoting flexible employment forms in Slovakia and less-developed areas of the Czech Republic. The results provide valuable guidance for developing policies aimed at improving gender equality and labour market participation, particularly through region-specific approaches.
Open Access: Yes
DOI: 10.15196/RS160105
Generative AI and knowledge management in higher education: the impact of human development on student perceptions
Publication Name: Journal of Knowledge Management
Publication Date: 2026-12-14
Volume: 30
Issue: 11
Page Range: 293-318
Description:
Purpose – This study aims to explore how the Human Development Index (HDI) is associated with students’ perceived academic, personal and skill-development outcomes related to the integration of generative artificial intelligence, particularly ChatGPT, into higher education. From a knowledge management perspective, the research examines adaptive use of AI tools, structuring of information and support of autonomous learning in countries with varying development. Design/methodology/approach – The study draws on 11, 910 valid responses from the 2024 Global ChatGPT student survey, covering 58 countries. Based on 33 Likert-scale items, three reflective constructs were identified. To explore the relationships between HDI, usage intensity and perceived impacts, the analysis combined descriptive statistics, K-means clustering and a partial least squares structural equation modeling (PLS-SEM) mediation model. Findings – The regression analysis showed a weak but statistically significant negative correlation between HDI and perceived impacts: students from lower-HDI countries tended to view ChatGPT’s impacts more positively. The PLS-SEM results indicated that higher national development is associated with lower perceived academic, developmental and skill-related benefits. This relationship appears both direct and indirect, as students in more developed countries report using ChatGPT less frequently and less creatively for academic purposes. Practical implications – The findings highlight the need for context-sensitive, pedagogically grounded artificial intelligence strategies, particularly in highly developed countries and in the support of students from disadvantaged backgrounds. Originality/value – This study is among the first to examine how national development levels shape perceived ChatGPT impacts in higher education. By combining HDI, cluster analysis and mediation modeling, it offers a novel perspective on digital inequality.
Open Access: Yes
Mitigation of technostress and its effects based on trust and organizational culture through the example of a railway company
Publication Name: Journal of Data Information and Management
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Technostress has become a significant challenge in digital workplaces, potentially affecting employees’ well-being and productivity. This study investigates the presence of technostress in a railway transportation company, focusing on digital overload and knowledge hoarding. It also examines how organizational trust supports knowledge sharing and helps employees adapt to technological challenges in the workplace. A quantitative survey was conducted among railway employees who regularly use IT tools in their daily work. The study applied descriptive statistics, cross-tabulation analysis, correlation analysis, and cluster analysis. No regression modeling was performed, as the aim of the empirical analysis was exploratory and relationship-oriented rather than model estimation. The findings indicate that digital overload and knowledge hoarding represent the most prominent sources of technostress in the examined organization. Demographic factors show only a limited influence on technostress perceptions, while organizational trust plays an important role in supporting knowledge sharing and mitigating technostress. The results also reveal that employees place greater trust in human collaboration than in technological systems, although no significant distrust in technology was observed. The results suggest that organizations can reduce technostress by strengthening trust-based organizational cultures, promoting knowledge sharing, and implementing HR practices that support employees’ digital adaptation. Transparent communication, targeted training, and supportive leadership can contribute to improving employee well-being and managing technostress in digitally intensive workplaces. This study contributes to the literature on technostress by highlighting the interrelationship between technostress, organizational trust, and knowledge sharing in a railway industry context. The findings provide practical insights into how trust-based organizational cultures can support employees in coping with technological change and digital transformation.
Open Access: Yes
