Réka Koteczki

58316933300

Publications - 21

The role of generative AI in improving the sustainability and efficiency of HR recruitment process

Boglárka Eisingerné Balassa Dániel Csikor Réka Koteczki

Publication Name: Discover Sustainability

Publication Date: 2025-12-01

Volume: 6

Issue: 1

Page Range: Unknown

Description:

Generative artificial intelligence (GAI) is becoming increasingly important in business processes, including human resource management. GAI can offer the potential to automate repetitive tasks in recruitment processes, optimise decision making, and reduce administrative burdens. Although AI can help increase operational efficiency, environmental pressures must also be taken into account. AI models require significant computing power, resulting in high energy consumption and increased CO2 emissions. This dichotomy may raise the question of whether the efficiency gains provided by GAI outweigh the environmental burden. This article examines the environmental impacts of GAI on HRM through a case study. The research combines qualitative and quantitative methods: expert interviews are used to explore practical applications, while calculations on energy consumption, costs, and emissions are carried out by comparing traditional and AI-based recruitment methods. The results of the case study showed that the integration of GAI led to efficiency gains. The time required for the recruitment process was reduced by 13.25 h, which could save thousands of man-hours per year. At the same time, costs and energy consumption and associated carbon emissions were reduced. The study highlights the duality of “AI for sustainability” and “sustainability of AI”, highlighting that while GAI can contribute to more sustainable corporate operations, its own environmental footprint raises questions about long-term sustainability. The results will provide HR professionals, decision makers, and organisations with practical insights into the potential for sustainable use of AI.

Open Access: Yes

DOI: 10.1007/s43621-025-01484-3

Exploring Generation Z’s Acceptance of Artificial Intelligence in Higher Education: A TAM and UTAUT-Based PLS-SEM and Cluster Analysis

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: Education Sciences

Publication Date: 2025-08-01

Volume: 15

Issue: 8

Page Range: Unknown

Description:

In recent years, the rapid growth of artificial intelligence (AI) has significantly transformed higher education, particularly among Generation Z students who are more open to new technologies. Tools such as ChatGPT are increasingly being used for learning, yet empirical research on their acceptance, especially in Hungary, is limited. This study aims to explore the psychological, technological, and social factors that influence the acceptance of AI among Hungarian university students and to identify different user groups based on their attitudes. The methodological novelty lies in combining two approaches: partial least-squares structural equation modelling (PLS-SEM) and cluster analysis. The survey, based on the TAM and UTAUT models, involved 302 Hungarian students and examined six dimensions of AI acceptance: perceived usefulness, ease of use, attitude, social influence, enjoyment and behavioural intention. The PLS-SEM results show that enjoyment (β = 0.605) is the strongest predictor of the intention to use AI, followed by usefulness (β = 0.167). All other factors also had significant effects. Cluster analysis revealed four groups: AI sceptics, moderately open users, positive acceptors, and AI innovators. The findings highlight that the acceptance of AI is shaped not only by functionality but also by user experience. Educational institutions should, therefore, provide enjoyable and user-friendly AI tools and tailor support to students’ attitude profiles.

Open Access: Yes

DOI: 10.3390/educsci15081044

Systematic literature review of user acceptance factors of advanced driver assistance systems across different social groups

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: Transportation Research Interdisciplinary Perspectives

Publication Date: 2025-05-01

Volume: 31

Issue: Unknown

Page Range: Unknown

Description:

This study presents a systematic review of empirical research on the acceptance of advanced driver assistance systems (ADAS). The review focusses on the varying attitudes of user groups, the theoretical models underpinning acceptance, and the key sociocognitive factors involved. Using the PRISMA methodology, 35 relevant studies were identified. The analysis revealed several critical acceptance factors, including trust, technological awareness, perceived usefulness, and the importance of education. Most of the reviewed studies applied the TPB, TAM, or UTAUT models. The investigations concentrated on five major user groups: (1) general drivers, (2) professional drivers, (3) older adults, (4) young technology-orientated users, and (5) non-driving transport users such as pedestrians and cyclists. The findings indicate that acceptance is not a homogeneous process. It is shaped by the characteristics of each group of users, previous knowledge of the system, the degree of trust, and the specific context of system use. A considerable proportion of users do not receive sufficient training or information regarding ADAS features. This lack of knowledge limits both proper usage and the safety benefits of the technology. The study provides targeted recommendations for expanding user education, enhancing regulatory frameworks, and applying communication strategies tailored to specific user groups. The interdisciplinary approach contributes to a more comprehensive understanding of public acceptance of automated vehicle technologies. It also supports the broader adoption of equitable and sustainable mobility solutions through trust-building and educational interventions.

Open Access: Yes

DOI: 10.1016/j.trip.2025.101486

Optimizing Human Resources for Efficiency and Sustainability through Business Process Modelling with Large Language Models

Boglárka Eisingerné Balassa Dániel Csikor Réka Koteczki

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 499-504

Description:

In today's business situations, effective use of human resources is critical to organisational performance and long-term growth. Employees frequently squander important time on monotonous jobs that take up their time. This problem negatively affects not only business efficiency but also labour market satisfaction and economic growth, contrary to the goals of Sustainable Development Goals (SDGs) 8 (Decent work and economic growth) and 9 (Industry, innovation and infrastructure). The aim of the research was to see how large language models (LLM) can help to optimise human resources by automating less skill-intensive, time-consuming tasks. For the analysis, a case study was conducted using the methodology of business process modelling (BPM) to compare the efficiency of a project management task ('reporting') with and without the use of ChatGPT technology. The model was used to analyse quantitative data such as process duration, labour costs, overhead costs and overhead volume. The research shows that LLM can significantly reduce the time workers spend on routine tasks, allowing them to focus on higher-value jobs that match their skills. In the case where ChatGPT was used by the participants to prepare the report, the whole process took 455.5 h less. The time savings contributed to a reduction in wage costs and overheads, which in total represents a saving of € 8,046.30. Based on the results, it is believed that LLMs have the potential to increase efficiency and sustainability.

Open Access: Yes

DOI: 10.3303/CET24114084

How Perceptual Variables Influence the Behavioral Intention to Use Autonomous Vehicles †

Boglárka Eisingerné Balassa Dániel Csikor Réka Koteczki

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The rapid development of technology makes the acceptance of autonomous vehicles (AVs) in modern transport a key issue. The aim of the present research was to explore the impact of AVs on behavioral intention to use. An online survey was conducted, in which factors such as perceived usefulness (PU), perceived ease of use (PEU), perceived trust (PT), social influence (SI), and behavioral intention to use (BIU) were investigated. As a result of the investigation, the correlation analysis revealed that there was a significant positive relationship between the intention and all the factors examined. The practical utility of this research is that the results will support developers and vehicle manufacturers in understanding how different social factors influence the adoption of AVs.

Open Access: Yes

DOI: 10.3390/engproc2024079023

Driving Examiners’ Perceptions and Awareness of Advanced Driver Assistance Systems: A Survey-Based Analysis †

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Advanced Driver Assistance Systems (ADASs) can have a significant role in contributing to road safety. However, technological innovations are gaining user acceptance at different rates, which is a key factor for their widespread deployment. In Hungary, learning about ADASs is not part of the curriculum in driving schools. In the present research, a questionnaire survey was conducted among driving examiners to assess their level of ADAS awareness. The results show that, in general, examining officers have a positive attitude towards the technology and are quite knowledgeable about it, compared to drivers. However, education and information are also essential for them, as there are few places to obtain credible information.

Open Access: Yes

DOI: 10.3390/engproc2024079021

Examining the Expected Impacts of Autonomous Vehicles on Transport, Their Cross-Impacts and the Relationships Between Impacts †

Dániel Csikor Réka Koteczki Ferenc Szauter

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

We have a promising future in improving road safety, which requires a comprehensive assessment of the impact of systems on road transport. Research is timely as we are in a transitional period until the advent of autonomous vehicles. This research has identified the factors that influence the impact of vehicle control algorithms on road transport, depending on technological feasibility, as well as the factors that influence development directions, and then used a questionnaire survey to assess the factors that are most important to society. The correlations between the impacts were analysed and, after identifying the different clusters, this research assessed the opinions of different age groups on the expected impact of self-driving vehicles and the factors influencing their introduction.

Open Access: Yes

DOI: 10.3390/engproc2024079062

Case study-based scenario analysis comparing GHG emissions of wine packaging types

Boglárka Eisingerné Balassa Agnes Csiba-Herczeg Réka Koteczki Bence Lukács

Publication Name: Cleaner Engineering and Technology

Publication Date: 2023-08-01

Volume: 15

Issue: Unknown

Page Range: Unknown

Description:

The wine market has faced a serious problem in recent years, as the cost and environmental impact of commonly used wine bottles has become unsustainable for producers. In this paper, we present a case study of one of the largest wineries in Hungary, with the aim of investigating sustainability factors related to packaging materials. The winery has provided us with data on three types of bottles (Burgundy Glass Bottle, Bordeaux Glass Bottle and Bordeaux polyethylene terephthalate (PET) Bottle), for which the greenhouse gas emissions (GHG) related to production and the Co2e related to transport are calculated as part of Life Cycle Analysis (LCA). The maximum transport weight per truck is 23 501.70kg for Bordeaux PET bottle, 19 951.14 kg for Burgundy glass bottle and 22 290.18 kg for a Bordeaux glass bottle. In Hungary, a new law on packaging will come into force, whereby bottles will be subject to a deposit scheme. For this reason, eight scenarios were set up to calculate GHG emission. In the study, two types of raw material were investigated, glass and polyethylene terephthalate (PET), and calculations were made with recycled and reused materials. As a result of the study, the cases with the lowest Carbon dioxide equivalent (CO2e) emissions are those with the highest amounts of recycled and reused packaging materials. Among the scenarios presented, the one with the lowest emissions in terms of production and transport is the case where 70% Bordeaux Recycled Glass Bottle and 30% rPET are used (247 231.697 kgCO2e). This scenario has 64% less GHG emissions than the scenario where only glass is used. In the present study, we performed a cradle-to-gate analysis of wine packaging, which may be worth expanding in future research with additional input and output factors during the product life cycle. The research carried out in this study also lays the foundation for research on consumer behaviour related to alternative wine packaging.

Open Access: Yes

DOI: 10.1016/j.clet.2023.100649

Sustainability Aspects of Drone-Assisted Last-Mile Delivery Systems—A Discrete Event Simulation Approach

Boglárka Eisingerné Balassa László Buics Réka Koteczki Bence Lukács

Publication Name: Energies

Publication Date: 2023-06-01

Volume: 16

Issue: 12

Page Range: Unknown

Description:

The goal of this article is to examine the advantages and disadvantages of the application of drones in last-mile delivery systems from a sustainability point of view regarding CO2 emissions and energy consumption. As commercial drones are developing rapidly, the application of such tools in the field of last-mile delivery and transportation can offer many opportunities to increase service flexibility, reduce delivery time and decrease CO2 emissions and energy consumption. In this article, a discrete event simulation is applied to examine how the assistance of drones in parcel delivery services can influence the sustainability aspects of such services regarding CO2 emissions and energy consumption in an urban environment. Based on factory parameters, a vehicle-based delivery scenario is compared to a drone-assisted scenario under ideal conditions. According to the results, within the simulation parameters with the assistance of drones, a decrease in CO2 emissions and energy consumption is possible in last-mile delivery services, but more environmental, technological and financial limitations should also be addressed and incorporated to determine whether such a development is worthwhile from a last-mile delivery company’s point of view.

Open Access: Yes

DOI: 10.3390/en16124656

Eye Tracker Experiment Buying Decision-Making Process with a Focus on Sustainable Consumption - Case Study

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 547-552

Description:

Today's environmentally damaging activities pose global challenges for companies, environmentalists and governments alike, but these activities are also reflected at the level of the individual. The aim of the study is to investigate the decision-making processes of Hungarian consumers regarding sustainable products and to validate the eye-trackers methodology to measure this. Two groups (n=10), one educated on sustainable products and one without prior education, were observed using Tobii Glasses 3 eye trackers while purchasing sustainable items in a local supermarket. The research uses a mixed-methods approach combining qualitative and quantitative methods. Participants completed pre-shopping questionnaires to gauge their attitudes toward ecologically responsible consumption. Post-shopping interviews provided insights into their decision-making processes. As a result of the research, Hungarian consumers are not aware of sustainable products overall, and based on the interviews, they only buy a small proportion of them. Members of the experimental group (5.03 min) were much quicker to find sustainable products than members of the control group (8.03 min). Logos suggesting sustainability are misleading to consumers, and they are most easily able to identify sustainable packaging labels. Based on our conclusions, to encourage consumers to consume sustainably, the first step is to clarify what sustainable consumption and sustainable products mean. These labels should be prominently displayed on product packaging so that consumers can find them as soon as possible.

Open Access: Yes

DOI: 10.3303/CET23107092

Exploring Purchase Decisions in Virtual Reality: A Systematic Review and Future Research Directions

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: 2023 IEEE 2nd International Conference on Cognitive Aspects of Virtual Reality Cvr 2023

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Virtual reality is becoming more widespread around the world and many industries are beginning to recognise its potential. In this paper, we have explored the relevant issues between virtual reality and marketing, based on which we have addressed the topic of virtual reality and retail. The methodology of the present paper is a Systematic Literature Review using the PRISMA model. Based on the SLR, 20 academic articles were found to be relevant to the research topic and are described in the paper. A further objective of the study was to design a future research plan, which was based on the SLR. Based on the research plan, future research will aim to investigate how the decision making process takes place in a 3D virtual shop and how it differs from 2D web shops.

Open Access: Yes

DOI: 10.1109/CVR58941.2023.10395641

A Preliminary Investigation into Alternative Wine Packaging for Greenhouse Gas Emissions Reduction in Hungary

Boglárka Eisingerné Balassa Agnes Csiba-Herczeg Réka Koteczki

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 103

Issue: Unknown

Page Range: 343-348

Description:

Based on sustainability aspects, the wine industry is under increasing global pressure regarding the packaging of wine. This means that, in the case of everyday wines, instead of glass wine bottles, they should find an alternative option that has a less burdensome impact on the environment and is more accessible. To investigate this, a scenario analysis was carried out using data from a Hungarian winery to examine two possible scenarios. The winery provided the sales share of each packaging type for 2022. In the scenarios, the rates of packaging types were varied in terms of the degree of acceptance of alternative packaging in each country. After determining the packaging ratios, GHG (greenhouse gas emission) was calculated for one million bottles, which would make the first scenario a more sustainable approach, as emissions would be 16 % lower than the emission of 2022 sales volume. Overall, the greater uptake of alternative packaging results in lower emissions in terms of production.

Open Access: Yes

DOI: 10.3303/CET23103058

Sustainability trends in the wine industry: Cognitive biases and methodological insights from a PRISMA review

Boglárka Eisingerné Balassa Agnes Csiba-Herczeg Réka Koteczki

Publication Name: Ecocycles

Publication Date: 2023-01-01

Volume: 9

Issue: 3

Page Range: 90-102

Description:

Sustainability—the characteristic, property, and goal of every responsible, mature, rational, and environmentally sensitive organization—has gained undeniable and incredible traction in the wine industry over the last few decades, influencing wine-making procedures and packaging. Determined actors inside and outside the industry have identified key environmental concerns, such as energy efficiency or recycling, that support promoting a sustainable industry. To explore how sustainability is implemented in the wine sector, we, the authors of this paper, conducted a systematic literature review methodology. The PRISMA model served as our primary criteria for focusing the literature search and was utilized in its execution. Our study analyses thirty scholarly publications, which are categorized according to three primary themes: (1) Wineries and Sustainability; (2) Wineries and Cognitive Biases; and (3) Wineries and Sustainability and Cognitive Biases. The novelty of the study lies in its use of a systematic literature review (SLR) to investigate the complex interaction between wine, cognitive biases, and sustainability with a combined focus. The findings point to the understudied domain of consumers' cognitive biases regarding alternate wine packaging. Our results show that there is potential for improvement in the wine sector in terms of sustainable packaging and the consumer behavior of accepting or rejecting specific packaging options. These areas are considered worthy of future holistic approach investigation because alternative packaging is critical to making the industry more environmentally friendly. Still, if consumers cannot accept and purchase wine thus packaged, such raises further questions. Our study may be helpful to stakeholders in the wine sector as practitioners increasingly seek to incorporate and promote sustainable practices in their operations.

Open Access: Yes

DOI: 10.19040/ecocycles.v9i3.376

Consumer Acceptance and Rejection Regarding Sustainable Wine Packaging

Péter Csiba Boglárka Eisingerné Balassa Agnes Csiba-Herczeg Réka Koteczki Péter Csiba

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 559-564

Description:

The wine sector is facing a major challenge in wine packaging. The environmental impact of packaging, one of the most CO2-emitting aspects of the wine industry, needs to be addressed. In this study, we investigate how open Hungarian consumers are to buying wine in non-traditional packaging. We showed images of several alternative packaging options to a sample of domestic consumers: 1) a domestic wine bag-in-box and 2) a pouch package and (3 & 4) their internationalized equivalents. We then presented participants with a questionnaire. The questionnaire asked about the following topics: Traditionality, Familiarity, Purchase Intention (PI), Product Appeal, Taste Expectations, and Uniqueness, with participant demographic questions also included. Cluster analysis was conducted for both Hungarian packaging (HP) and International wine packaging (IP) options, suggesting that different consumer groups have different attitudes toward alternative wine packaging options. Overall, consumers are slightly more accepting of Hungarian-packaged wines on average, but at the cluster level, if only those consumers most likely to accept (and purchase) alternative packaging are considered, acceptance is greater for IP wines. Generation Z wine consumers, who are self-reported to be knowledgeable about wine and have above-average incomes, were the most likely to accept international and Hungarian alternative packaging options. The innovators’ cluster group demonstrated the highest intention/willingness to purchase wine in alternative packaging of either the Hungarian or international sort. The mean value of Innovator IP is 4.84 for bag-in-box and 5.01 for pouches, making this group more accepting of pouches than bag-in-box packaging—an inversion of the preference of most other groups investigated. For both bag-in-box and pouch, the mean for the Innovator HP cluster is 5.17. For both Hungarian and international packaging options, it is clear that acceptance is lower for pouches (PI: 3.27; 3.47) than for bag-in-box (PI: 3.62; 3.88). We offer our results to decision-makers so that they may better understand the preferences of the Hungarian wine market and work to improve acceptance of non-traditional packaging options through consumer education and familiarization.

Open Access: Yes

DOI: 10.3303/CET23107094

Traditional or alternative wine packaging: a study of consumer choices and perceptions

Boglárka Eisingerné Balassa Agnes Csiba-Herczeg Réka Koteczki

Publication Name: International Journal of Urban Sciences

Publication Date: 2025-01-01

Volume: 29

Issue: 1

Page Range: 314-331

Description:

Sustainability concerns in the wine sector have resulted in alternative types of wine packaging to traditional glass packaging. This article examines the impact of cultural heritage and environmental awareness on consumer behaviour and purchasing decisions in relation to wine packaging. To investigate this, a wine tasting experiment was carried out on a sample of 211 people in the city of Pécs, in Hungary, to assess consumers’ perceptions, taste perceptions and purchase propensity for 7 types of wine packaging. In order to measure the effect of each type of packaging, the same wine was poured into the same types of packaging. The aim of the experiment was to identify consumers’ attitudes towards traditional packaging and their preferences for alternative options. The results were analysed using factor analysis to identify 2 factor groups for each pack, which were validated using Bartlett's Test and Chi-squared Test. The results show that packaging style and traditionality have a significant impact on consumer preferences, especially for alternatives such as bag-in-box or pouch, which are completely different from the traditional glass bottle. In the case of PET bottles, the packaging itself has a strong explanatory power, which may be explained by its similarity in form to the glass bottle. The novelty of this research lies in the fact that with the help of the we were able to measure the effect of different wine packaging, alongside the role of cultural traditions. Based on the results, it is proposed that wine industry stakeholders should raise consumer awareness of the benefits of environmentally friendly packaging alternatives and take measures to reduce the environmental impact of traditional glass bottles.

Open Access: Yes

DOI: 10.1080/12265934.2025.2452498

Anchoring Bias in Generative AI: A Comparative Analysis of Large Language Models in a Pricing Scenario

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: 2025 IEEE 16th International Conference on Cognitive Infocommunications Coginfocom 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 115-120

Description:

Generative artificial intelligence systems are increasingly appearing in decision-support processes, so it is essential to address the extent to which these models are prone to human-like cognitive biases. This study investigates whether anchoring bias can be detected in large language models in a simulated market decision-making situation where the AI's task was to determine the launch price of a new smartwatch. In the experimental setup, five different generative AI models (GPT-4o, GPT-4.5, Gemini 2.5 Pro, Grok 3 Beta, Sonar) were tested with low and high numerical anchor values. For each model, 20 runs were performed under both conditions (a total of 200 queries), and the results were analyzed using an independent sample t-test and an anchoring index. Based on the results, the GPT-4o model showed significant anchoring bias (AnI=13.12%), while in the case of GPT-4.5, this was more moderate (AnI =5.67%). The responses of the other models were completely consistent, with a standard deviation of 0 and no changes observed between different anchoring conditions. The hypothesis tests confirmed that the anchoring effect is not universally characteristic, but rather a model-dependent behavioral peculiarity. The study contributes to the measurement of bias sensitivity in artificial intelligence and to the development of a possible future behavioral benchmark. The practical significance of the research is that it draws attention to the fact that individual models may be sensitive to irrelevant numerical contexts, which can lead to biased results in business decisions. Therefore, for companies, not only language performance but also this type of bias profile may be an important consideration when selecting and deploying generative AI systems.

Open Access: Yes

DOI: 10.1109/CogInfoCom66819.2025.11200816

Identifying Consumer Segments for Advanced Driver Assistance Systems (ADAS): A Cluster Analysis of Driver Behavior and Preferences

Boglárka Eisingerné Balassa Jonna C. Baquillas Réka Koteczki Minje Choi

Publication Name: Future Transportation

Publication Date: 2025-12-01

Volume: 5

Issue: 4

Page Range: Unknown

Description:

The rapid advancement of Advanced Driver Assistance Systems (ADAS) is reshaping the future of mobility by offering potential improvements in safety, efficiency, and driving experience, yet consumer acceptance remains uneven across regions. This study addresses the gap in knowledge and trust by examining how Hungarian drivers, as part of the Central and Eastern European context, perceive and adopt ADAS technologies. To achieve this, we conducted two expert in-depth interviews to refine the research instrument, followed by an online survey of 179 drivers. Using k-means cluster analysis, we identified three distinct consumer segments: Conservative Controllers, who demonstrate low levels of trust and willingness to adopt ADAS; Cautious Adopters, who weigh costs and benefits carefully; and Pragmatic Innovators, who are open to experimentation and display the highest acceptance and willingness to pay. The results reveal that awareness and familiarity strongly influence acceptance, highlighting the role of consumer education and transparent communication in shaping adoption. The findings suggest that manufacturers, driving schools, and policymakers can accelerate the diffusion of ADAS by developing targeted strategies tailored to different consumer groups. Strengthening knowledge and trust in these systems will not only support their market success but also contribute to safer, more sustainable transportation.

Open Access: Yes

DOI: 10.3390/futuretransp5040182

Exploring the Link Between Ride-Sharing Experience and Autonomous Vehicle Acceptance in the Context of Sustainable Mobility †

Boglárka Eisingerné Balassa Réka Koteczki Zoltán Szávicza

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Sustainable transportation systems are becoming an increasingly important issue around the world, especially with the advancement of urbanisation. Autonomous vehicles and ride-sharing services represent innovative mobility solutions that can improve not only the efficiency of transportation but also its environmental sustainability. The aim of this study is to examine Hungarian consumers’ attitudes toward ride-sharing and their acceptance of AVs, with a focus on whether there is a link between the two phenomena. The research is based on a nationally representative sample of 2000 respondents. Correlation analyses were performed based on the dimensions of technology acceptance models. Based on the results, a significant positive correlation can be demonstrated between the willingness to use ride-sharing services in the future and the openness towards AVs. Perceived usefulness and social influence showed the strongest relationship with intention of usage. The results contribute to the social acceptance of autonomous technologies and sustainable transport in Hungary.

Open Access: Yes

DOI: 10.3390/engproc2025113008

Attitudes towards sustainable mobility technologies: Insights from electric vehicle adoption

Boglárka Eisingerné Balassa Réka Koteczki Boglárka Eisinger Balassa

Publication Name: Social Sciences and Humanities Open

Publication Date: 2026-06-01

Volume: 13

Issue: Unknown

Page Range: Unknown

Description:

The uptake of electric vehicles (EVs) plays a key role in the development of environmentally friendly transport solutions. This study explores factors influencing EV adoption in Hungary, with a particular focus on infrastructural and digital elements. Building on the theoretical foundations of technology acceptance models, the research shifts attention from individual psychological variables to objectively measurable external factors. The rationale for focusing on Hungary lies in its status as a post-communist, structurally constrained country with uneven access to digital services and public charging infrastructure. A nationally representative questionnaire survey of 2000 respondents was conducted to examine the intention to purchase EVs and its predictors. Regression results show that the availability of charging stations has a significant but weak effect on purchase intention (β = 0.145, p < 0.001, R2 = 2.1–2.5 %). Mobile internet coverage showed minimal impact (β = 0.087, p < 0.001, R2 = 0.8–1.4 %). Traffic congestion was positively associated with EV purchase intention (β = 0.168, p < 0.001, R2 = 2.9–3.3 %), indicating that residents of congested urban areas show greater interest in EVs. The findings suggest that while infrastructure matters, it alone is insufficient. An integrated strategy combining public incentives, infrastructure investment, and consumer education is needed to foster EV uptake. For policymakers and automotive stakeholders, the results highlight the importance of cost reduction, supportive regulation, and long-term sustainability benefits in promoting EV adoption in transition economies.

Open Access: Yes

DOI: 10.1016/j.ssaho.2025.102379

Ride-Sharing Services in Regional Context: Consumer Attitudes and Reuse Intentions in Western Hungary

Boglárka Eisingerné Balassa Dániel Csikor Réka Koteczki Boglárka Eisinger Balassa Ferenc Szauter

Publication Name: Applied Sciences Switzerland

Publication Date: 2026-01-01

Volume: 16

Issue: 2

Page Range: Unknown

Description:

This study examines consumer attitudes and experiences related to ride-sharing services in the Western Transdanubia region of Hungary. Despite the growing global popularity of shared mobility solutions, there is little empirical evidence on regional consumer acceptance patterns in the Hungarian context. Based on a structured questionnaire survey involving 500 respondents, this research explores the relationship between satisfaction with past ride-sharing experiences and the intention to reuse such services in the future. The results reveal a high willingness to reuse among those who have already tried ridesharing, yet the correlation analysis shows that satisfaction dimensions alone are not significant predictors of reuse intention. In contrast, attitudinal factors, such as preference over other transport modes, willingness to make recommendations, and perceived accessibility, exhibit strong correlations with acceptance of ride-sharing. The findings emphasise the key role of attitudes and trust in shaping consumer decisions. The paper contributes to the literature by providing regionally grounded empirical insights and offers practical and policy-level recommendations to support the diffusion of sustainable shared mobility services.

Open Access: Yes

DOI: 10.3390/app16021055

Enhancing Decision-Making Through Generative AI: Human-AI Interaction in Organizational Contexts

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: International Scientific Business Conference Limen Leadership Innovation Management and Economics Integrated Politics of Research

Publication Date: 2024-01-01

Volume: 2024

Issue: Unknown

Page Range: 89-98

Description:

In recent years, Generative Artificial Intelligence (GAI) has evolved significantly and is playing an increasingly important role in supporting business and organisational decision-making. This research aims to explore the role and potential of GAI in this area through a systematic literature review using the PRISMA model. It focuses on the specific tasks in which generative AI can support decision makers and the advantages and disadvantages of using the technology. The research will pay particular attention to the ways in which generative AI can influence human-AI interaction and reduce cognitive biases in the decision-making process. The analysis will explore the experiences and limitations of AI-based decision-making, highlighting the practical benefits and potential limitations of the technology in the corporate environment. The results of this research can contribute to a more effective application of generative AI in decision support and help organisations to optimise their decision-making processes.

Open Access: Yes

DOI: 10.31410/LIMEN.S.P.2024.89