J. P. Koltai

53876083600

Publications - 13

Analysis of financial performance of deposit banks in Turkey using multi-criteria decision-making methods

J. P. Koltai Hasan Tutar Batuhan Medetoğlu Yusuf Bahadır Kavas

Publication Name: Journal of International Studies

Publication Date: 2025-01-01

Volume: 18

Issue: 1

Page Range: 196-215

Description:

Financial performance analysis in the banking sector aims to determine the capacity for data-driven decision making. This study evaluates the financial performance of public and private deposit banks in Türkiye. In the study, we used the entropy method to determine performance weights. Then, we used the VIKOR technique, which integrates the entropy method with multi-criteria decision making. This integrated approach evaluates banks according to key dimensions such as profitability, liquidity, asset quality, and capital adequacy. We conducted the study on a sample of three public and eight private deposit banks operating in Türkiye. The data covers financial ratios starting from 2022. The findings show that two public banks have high financial performance, while publicly owned deposit banks have stronger financial performance than their privately owned counterparts. The findings provide valuable insights into the Turkish banking sector's financial stability and competitive positioning. The results of the study can guide bank managers and regulatory authorities.

Open Access: Yes

DOI: 10.14254/2071-8330.2025/18-1/12

Sorting for Sustainability: Harnessing Female Awareness of Zero Waste

J. P. Koltai Tamás Vinkóczi Éva Heimné Rácz

Publication Name: Journal of Sustainability Research

Publication Date: 2024-12-01

Volume: 6

Issue: 4

Page Range: Unknown

Description:

Background: Sustainable Development Goal 12 focuses on sustainable consumption and production patterns. Females are more likely to adopt these sustainable consumption practices due to their environmental attitudes. The scope of the present research is to develop a Hungarian model that can provide a theoretical explanation for the formation, viability and empowerment of zero waste awareness among females as they are sensitive to the issue and may have sufficient knowledge about it. Methods: An online questionnaire was distributed in a university environment in Hungary, resulting in 160 responses after data cleaning. The model was constructed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Results: The results show that for females, the factors waste sorting and zero waste practicality account for 72.4% of the variance in zero waste awareness. The Beta values indicate that both effects are positive with the effect of the first (βZWS-ZWA = 0.523) being stronger than the second (βZWP-ZWA = 0.389). In addition, it can be concluded that women’s attitudes toward waste sorting have a strong positive impact (R2 = 0.542, βZWS-ZWP = 0.736) on zero waste practicality. Conclusions: The zero waste attitudes of female university students’ behavior are significantly related to the selective collection of waste and the practical use of old products. In addition, waste separation is a practical approach to environmental responsibility, as there is no need to dispose of all end-of-life products if they can be recycled. The model could help the government understand the factors and the mindset from a female perspective in order to partially support the decision-making process related to sustainability.

Open Access: Yes

DOI: 10.20900/jsr.20240065

Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model

J. P. Koltai Tamás Vinkóczi Izabella Mária Végvári Martina Németh

Publication Name: Computers in Human Behavior Reports

Publication Date: 2024-12-01

Volume: 16

Issue: Unknown

Page Range: Unknown

Description:

Mobile Short Video Applications are becoming increasingly popular worldwide. The appropriate content can shape, improve or change consumers' purchasing decisions. This paper examines the attitudinal differences in impulse buying related to the use and acceptance of MSAs by adapting a model already validated in China to Hungarian users. The analysis was conducted using Covariance-Based Structural Equation Modelling (CB-SEM). A structured questionnaire survey of 283 respondents in Hungary shows that the Chinese model cannot fully be applied to Hungary. A major difference between the results of the two models is that in the Hungarian model, perceived expertise shows a positive relationship with flow experience. This indicates that video makers - in the case of Hungarian videos - should produce content including introductory information and the operation of the product. The results suggest that in the case of MSA use in Hungary, perceived expertise affects impulse buying indirectly, but flow experience directly. Flow experience is only influenced by perceived expertise (β = 0.31, ρ < 0.05), with an explained variance of 10%. Flow experience (β = 0.46, ρ < 0.05) with its direct effect on impulse buying behaviour accounts for 21% of the variance. Hungarian and Chinese MSA users have different preferences in terms of content, thus the results provide important information for both international short video creators and companies entering the international market.

Open Access: Yes

DOI: 10.1016/j.chbr.2024.100522

Exploratory analysis of zero waste theory to examine consumer perceptions of sustainability: A covariance-based structural equation modeling (CB-SEM)

J. P. Koltai Tamás Vinkóczi Éva Heimné Rácz

Publication Name: Cleaner Waste Systems

Publication Date: 2024-08-01

Volume: 8

Issue: Unknown

Page Range: Unknown

Description:

Introduction: The analysis of corporate and consumer sustainability practices is currently the focus of several scientific disciplines due to their environmental impact and diversity. Objective: This research aims to create a hierarchy of consumer perceptions of zero waste thinking that can guide government decisions regarding university communities' sustainability efforts. To achieve the objectives of this study, Hungarian university citizens (students, faculty, staff) as potential zero waste consumers in Győr were involved in a purposive sampling approach. Methods: This study adopted the Covariance-Based Structural Equation Modeling (CB-SEM) methodology to prove the hypotheses related to the 7Rs regarding Zero Waste perceptions of university citizens. The rethink element of the hierarchy was defined as the default condition for the 7 R application and therefore remained at the top of the hierarchy as an endogenous variable. Results: The study concluded that it is possible to adapt a business 7 R framework for consumer use, but only 5Rs can be applied. The analysis was conducted at a 90% confidence level, under which condition the independent variables together explain 87% of the variance of the rethink factor. The results show that the four constructs, namely rot (β =0.12, ρ<0.1), reduce (β =0.21, ρ<0.1), recycle (β =0.26, ρ<0.05), and reuse (β =0.43, ρ<0.05) significantly affect rethinking. Based on these regression weights, a hierarchy of importance can be established. In line with the original 7 R business concept, rethink is at the top of the hierarchy, followed by the other elements. Conclusions: The results suggest that the zero waste attitudes of university citizens are currently limited to the 5Rs, which should require government leadership to strengthen these factors or a more consistent presence and support for the 2Rs that are missing from the established model. Governments can use the results of this research in their sustainability-related decisions.

Open Access: Yes

DOI: 10.1016/j.clwas.2024.100146

Sentinels of Sustainability: Practices of Agricultural Farms Clustered in Hungary’s Farmers’ Markets

Károly Kacz J. P. Koltai Szabolcs Troján Tamás Vinkóczi Anita Miklósné Varga

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 973-978

Description:

The analysis of local farmers' markets (FMs) is an important part of sustainability issues, as the products they offer can guarantee both the proper functioning of local farms and healthy nutrition for inhabitants. The aim of this research is to identify the most important characteristics of FMs small-scale businesses related to agricultural activities based on a convenience sample in Hungary. The database obtained by the questionnaire survey was compiled based on the answers of a total of 220 farm owners/managers. The results were subjected to analysis using a K-means clustering method, which identified four distinct groups of farms with the highest weighting of turnover from agricultural activity. The clustering distinguished beekeeping, arable crop production, animal husbandry, and vegetable and fruit production, which were treated as a separate cluster. The observed differences between the groups indicate that farms primarily engaged in beekeeping and livestock farming have the highest turnover. These findings may be manifested by the group’s member farms in terms of higher professional representation and high-quality products. A noteworthy distribution-related finding is that livestock products exhibit the greatest average distance from the point of origin to the FM, which can be attributed to the sparse geographical location of the production sites. The results could have a considerable consequence for policymakers in informing them about the design of support opportunities and the identification of beneficiary groups.

Open Access: Yes

DOI: 10.3303/CET24114163

Health labor force exodus: A systematic review of drivers influencing nurses’ migration intentions from source countries

J. P. Koltai Esther Amofa-Adade

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 11

Page Range: Unknown

Description:

The global shortage of nurses has resulted in the demand for their services across different jurisdictions causing migration from developing to developed regions. This study aimed to review the literature on drivers of nurses’ migration intentions from source countries and offer future research directions. A search strategy was applied to ScienceDirect, Web of Science, and Scopus academic databases to find literature. The search was limited to peer-reviewed, empirical studies published in English from 2013–2023 resulting in 841 papers. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct a systematic review of 35 studies after thorough inclusion and exclusion criteria. In addition, the VOSviewer software was utilized to map network visualization of keywords, geographic and author cooperation for bibliometric understanding. The findings revealed various socio-economic, organizational, and national factors driving nurses’ migration intentions. However, limited studies have been conducted on family income, organizational culture, leadership style, infrastructure development, social benefits, emergency service delivery, specialized training, and bilateral agreements as potential drivers for informing nurses’ migration intentions. Moreover, a few studies were examined from a theoretical perspective, mainly the push and pull theory of migration. This paper contributes to the health human resources literature and shows the need for future studies to consider the gaps identified in the management and policy direction of nurse labor migration.

Open Access: Yes

DOI: 10.24294/jipd.v8i11.8400

Consumer Perception of the Zero-Waste Concept: a Hungarian Case Study

J. P. Koltai Tamás Vinkóczi Éva Heimné Rácz

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 355-360

Description:

Sustainability is a concept that many people are familiar with, but it also seems elusive and difficult to generalize. Part of this concept is the Zero Waste mindset, which exists in equally diverse forms in people's minds. The research uses the 7R approach of the Zero Waste framework, adapted to consumers, to analyze which consumer groups can be distinguished from each other in terms of Zero Waste thinking. The methodology is based on a questionnaire analysis with the use of an HSD test. The results show that rethinking is the most widespread within the 7R concept, as the effects of most moderating variables (generation, gender, information gathering, product purchase, knowledge of the 7R concept, perceived income) can be measured in its case. In addition, 3 groups (Perfectionists, Adopters, and Rejecters) were created based on the consumers’ mindset of Zero Waste and named according to the means of the variables associated with the 7Rs. The present research is a Hungarian case study, which illustrates the existence of Zero Waste awareness and activities and should be extended to other nations as well.

Open Access: Yes

DOI: 10.3303/CET23107060

Environmental Assessment of Farm Sustainability – A Hungarian Case Study

J. P. Koltai Nóra Gombköto

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 409-414

Description:

Agricultural production is inseparable from environmental sustainability, and several methods have been developed by numerous authors and organizations worldwide to measure and evaluate it. The aim of the study is to comprehensively and accurately assess the environmental sustainability of farms. Concerning the theoretical framework, a set of 8 indicators and 23 sub-indicators was established to estimate the different aspects of environmental sustainability. The practical compliance of the indicators was assessed based on data from Hungarian agricultural enterprises; an agricultural company and three individual farmers were included in the case studies. By grouping the indicators, a new composite environmental indicator was developed to measure environmental sustainability. The results of the study show that the surveyed farms are moderately sustainable, as their composite indicators were at or close to the minimum of 0.5 points, but none of them were outstanding or at least 0.75 points. More significant efforts should be made to improve the farms’ environmental sustainability in the future.

Open Access: Yes

DOI: 10.3303/CET23107069

The Sustainable Contribution of Artificial Intelligence to Higher Education - Results of a Pilot Study

J. P. Koltai Nikolett Gyurián Nagy Eszter Szabó-Szentgróti Gábor Szábo-Szentgróti Tamás Vinkóczi Nikolett Gyurián Nagy

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 487-492

Description:

The past year has seen revolutionary breakthroughs in the development of artificial intelligence-based (AI) products that can impact almost every aspect of life. The change raises the question of the sustainability of education and how technology will transform the way we currently teach. This study aims to develop a model and its hypothetical adaptation that can be used to analyse the adoption and use of artificial intelligence in university settings. The importance of AI in education can be captured in its ability to personalise learning pathways, improve teaching methods and automate related administrative tasks. AI technologies are able to adapt to the needs of individual learners, providing personalised instruction and improving learning outcomes. AI can also help educators by automating routine tasks, allowing them to focus on individualised instruction and create a more engaging and effective learning environment. Based on the accepted results of exploratory factor analysis as the applied method of this paper, the research concludes that the model adaptation is feasible, but it is worth considering changing the variable reflecting implementation to one that is accepted by educators as the concrete institutional implementation of AI is still a very distant scenario in higher education. Future research should incorporate these findings into the design of possible structural models, as this area of AI research has the potential to bring significant social science and educational benefits.

Open Access: Yes

DOI: 10.3303/CET23107082

The generational division of online entertainment: The pleasure factors and manipulative effects of video streaming platforms

J. P. Koltai Tamás Vinkóczi Miklós Petra Majczán Lili Anna

Publication Name: Statisztikai Szemle

Publication Date: 2023-01-01

Volume: 101

Issue: 8

Page Range: 715-738

Description:

Rise of video streaming services has not only increased the popularity of available platforms, but has also changed the content consumption habits of households, pushing aside the opportunities provided by traditional television. Among subscribers and users representing generations tied to digitalization highly diversified views can exist regarding the selection of video-sharing platforms and their impact on users' traditional lifestyles. A structural equation model (CB–SEM) was applied to test our theory related to different generations' relationship to digitalization. Based on the results, the generational classification of users only affects the significance of the platform selection criteria, while the manipulative effect of the service is independent of this. The analysis reveals the importance of further research in this area, as the factors that are important for enjoyment may differ among generations.

Open Access: Yes

DOI: 10.20311/stat2023.08.hu0715

EMPLOYEE ATTITUDE TO ORGANISATIONAL CHANGE IN SMALL AND MEDIUM-SIZED ENTERPRISES

P. Karácsony J. P. Koltai Zdenko Metzker Tihana Vasic

Publication Name: E A M Ekonomie A Management

Publication Date: 2023-01-01

Volume: 26

Issue: 1

Page Range: 94-110

Description:

The crisis caused by the coronavirus pandemic affects the daily operation of organisations, which also brings changes in the life of their workforce. Managing organisational change has been a significant challenge for organisations for several decades. The aim of the research is to assess the behaviour of affected employees toward organisational change. It is examined how different groups of employee’s experience change in general and what they think about organisational change. Furthermore, it is explored whether employees understand the motivation behind the change and how does the change impact their organisation. To answer the research questions, a comprehensive questionnaire survey of small and medium-sized enterprises in Hungary was conducted in autumn 2021. The suitability of the application of factor analysis evaluating the dependence of selected areas of the questionnaire was supported by Barlett test a Cronbach’s alfa coefficient. For individual hypotheses two-sample t-test, contingency table analysis, and Pearson’s Chi-squared test, were applied. The evaluation of the 215 questionnaires shows that the behaviour of employees toward organisational changes is different. The difference in attitudes to the benefit of organizational change for employees were identified, but not for enterprise. Furthermore, the difference in attitudes between employees who have undergone organizational change in the enterprise and those who have not undergone organizational change, were identified too. It is interesting that contingency between the extent to which managers play a role in change and the well-executed nature of change were detected. The practical usage of the research can be helpful for SME management, especially in the HR field. The management can consider that employees may be afraid of the changes if they are ahead of them, but if the change is handled well, people will think positively of it.

Open Access: Yes

DOI: 10.15240/TUL/001/2023-1-006

Investigation of weed vegetation on wet segetal fields in South-Western Hungary

R. Pál J. P. Koltai Gy Pinke E. Oláh J. Csiky

Publication Name: Journal of Plant Diseases and Proctectio Supplement

Publication Date: 2006-12-01

Volume: Unknown

Issue: 20

Page Range: 567-576

Description:

Inland water on soils with bad water balance can lead to serious yield losses. Soil management and plant protection is nearly impossible in these marshy vernal pools, wherefore very special vegetation develops. On the basis of 58 phytocoenological surveys made in South-Western Hungary the vegetation of the vernal pools will be characterised. From phytosociological point of view our surveys stand to Ranunculo sardoi-Alopecuretum geniculati and Myosuro-Ranunculetum sardoi associations the nearest, where the proportion of Nanocyperion elements is significant. The following endangered species occure in these vernal pools: Elatine alsinastrum, Limosella aquatica, Lindernia procumbens, Montia fontana, Peplis portula. However vernal pools in segetal fields are causing losses from economical aspects, they can contribute to increase agrobiodiversity and have an important role in maintaining numerous threatened and protected plant species (Red Data List, IUCN, Corine Biotopes Project, Bern Convention). © Eugen Ulmer KG.

Open Access: Yes

DOI: DOI not available

Does Green Energy and Technological Innovations Induce Agriculture and Land Sustainability: Contextual Evidence From Climate Resilient Practices

J. P. Koltai Agnieszka Majewska Karolina Kowalczyk Lidi Yuan Sala Dariusz

Publication Name: Land Degradation and Development

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

With the growing environmental concerns, the existing literature mostly highlights the industrial pollution while neglecting the factors associated with the agriculture-related greenhouse gas emissions. Regarding this, the study explores the impacts of green energy, tech development, and urbanization on agriculture's greenhouse gas emissions. The prime objective of the current research is to unveil the green energy, tech innovations, and environmental sustainability nexus to draw novel implications in the context of Sustainable Development Goals (SDGs). In doing so, the authors employ the quarterly data of China from 1990Q1 to 2020Q4. For the long-run empirical analysis, the authors utilize various time-series estimating approaches, such as Quantile regression, which performs better in testing the nexus at different quantiles. However, the Fully Modified OLS, Dynamic OLS, and Canonical Cointegration Regression methods are used as robustness tools to authenticate the estimate of the primary approach. The results suggest that greener energy and technological innovations significantly reduce agriculture sector emissions. Furthermore, the presence of green energy transforms its negative influence into a positive one. Contrastingly, the use of traditional fossil fuel energy, urbanization, and financial development are significant drivers of emissions. This study's findings support SDGs, particularly SDG-2, which supports the stance of sustainable agriculture and encourages green energy use. Overall, the study discourses policy-related suggestions in the sustainability's context.

Open Access: Yes

DOI: 10.1002/ldr.70219