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Found 6278 publications

Shaping entrepreneurial passion and readiness through generative AI intensity among students: a knowledge-based view driven analysis

Jagannath Mohanty Varun Chotia Intesar Almugren Gábor Szábo-Szentgróti Jaskirat Singh Rai

Publication Name: Journal of Knowledge Management

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-21

Description:

Purpose – In prior literature, generative artificial intelligence (Gen AI) association with entrepreneurial outcomes is not significantly examined. This study aims to explore students Gen AI use intensity association with their information quality and entrepreneurial knowledge that could relate to their entrepreneurial passion and entrepreneurial readiness. Design/methodology/approach – The data was collected from 201 students majoring in business management education. A conceptual model grounded in knowledge-based view (KBV) theory was developed and tested using the partial least square structure equation modelling approach. Findings – The study results shown that Gen AI use intensity is strongly associated with information quality needs and entrepreneurial knowledge of students’ that further positively related to their entrepreneurial passion and readiness. Students’ entrepreneurial passion has positively associated with their entrepreneurial readiness, emphasising the crucial role of Gen AI in developing entrepreneurial capabilities among them. Practical implications – This study extends the role of Gen AI to develop entrepreneurial skills, passion and readiness among students. At the same time, the study also highlights the role of higher academic institutions to draft and implement strategies for the successful integration of Gen AI into their course curriculum. Originality/value – This study showcases the successful integration of students’ usage of Gen AI with their entrepreneurial capabilities. In relation to the KBV, the study extends theory and practice by illustrating Gen AI’s use in educational domain to enhance students’ entrepreneurial knowledge and readiness.

Open Access: Yes

DOI: 10.1108/JKM-08-2025-1132

Progress and Tradition

Miklós Könczöl András Lapsánszky Ákos Tussay András Koltay

Publication Name: Public Governance Administration and Finances Law Review

Publication Date: 2021-10-29

Volume: 6

Issue: 1

Page Range: 5-6

Description:

No description provided

Open Access: Yes

DOI: 10.53116/pgaflr.2021.1.1

Opinion of the hungarian population on the reform of beverage packaging deposit-refund system

Zoltán Pál Lukács Attila Sarkady Anita Boros Zsuzsanna Banász Róbert Kurdi

Publication Name: Sustainability Switzerland

Publication Date: 2021-06-01

Volume: 13

Issue: 11

Page Range: Unknown

Description:

The research subject is the deposit-refund system of beverage packaging (PET, glass and aluminium) in Hungary, which is under development. For the success of the planned system, it is important to consider the population’s opinion. Therefore, data from a primary questionnaire survey were used for the analyses. This questionnaire was conducted in 2020 and resulted in an evaluable sample of 20, 430 people. The study aims to answer the following research questions (Q). Q1. Does the reform of the beverage packaging deposit-refund system in Hungary have a raison d’être? Q2. What are the demographic characteristics (gender, type of residence, qualification) of those who would redeem beverage packaging in their households if the state paid for it? Q3. Do the demographic characteristics and/or the environmental attitudes of individuals significantly influence their perceptions of the planned new system, and how strong is the relationship between them? As for the method for answering the research questions, descriptive statistics and relationship analyses (Cramer’s V and Kendall’s tau) were applied to the closed answers. The results show that the analysis of the primary research provides well-determined directions for legislators and decision makers who develop the detailed operating rules of the new system.

Open Access: Yes

DOI: 10.3390/su13116373

Strategic Business Resilience Affecting Green and Renewable Energy-Related Financial Literacy in Mexico

Csongor Czipf Absalón J. Salmerón- Zapata José G. Vargas- Hernandez

Publication Name: Data Driven Esg Strategy Implementation Through Business Intelligence

Publication Date: 2025-08-12

Volume: Unknown

Issue: Unknown

Page Range: 87-114

Description:

This research investigates the multifaceted relationship between strategic business resilience and financial literacy in the green and renewable energy industry of Mexico. As Mexico transitions to sustainable energy sources, it is ever more critical to comprehend how companies formulate resilience strategies while maintaining financial literacy for industry growth and economic stability. The key findings indicate that companies with robust resilience mechanisms exhibit enhanced capacity for financial planning, risk assessment, and investment decision- making in renewable energy projects. The study identifies critical factors like adaptive leadership, technology integration, stakeholder engagement, and adherence to regulations as primary drivers of both resilience and financial literacy.

Open Access: Yes

DOI: 10.4018/979-8-3373-5142-1.ch004

EXPLORING THE RELATIONSHIP BETWEEN SERVICE PREFERENCES AND DIGITAL INFORMATION SOURCES IN THE CONTEXT OF ACTIVE TOURISM

Lóránt Dávid Gyula Fodor Zsolt Hollósy Ivett Vargáné Gálicz

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 62

Issue: 4

Page Range: 2233-2239

Description:

The aim of the research is to explore the relationships between the different forms of active tourism and the service needs that arise, and the role of the use of information sources in the decision-making of active tourism participants. The closed-ended questionnaire survey investigated respondents' hiking habits, the services they use and the sources of information on active tourism. The questionnaire was completed by 169 people who had hiked in the Lake Velence area, their responses were analysed using SPSS and Excel programs. Cluster analysis was used to ide ntify different groups of active tourism participants, depending on the type of tours they prefer, the services they use and the sources of information they r ely on. ANOVA (one-way analysis of variance) was used to test whether different types of active tourism influence the use of services and to identify which services are most important for each group. In addition, a Pearson correlation matrix was constructed to show the relationships between each of the quantitative variables. The research contributes t o a better understanding of how different forms of active tourism and different information sources shape the service needs of active tourism participants, which can help to target the development of tourism services and the transition to the circular tour ism.

Open Access: Yes

DOI: 10.30892/gtg.62420-1586

Data-Driven Predictive Modeling for Investigating the Impact of Gear Manufacturing Parameters on Noise Levels in Electric Vehicle Drivetrains

Krisztián Horváth

Publication Name: World Electric Vehicle Journal

Publication Date: 2025-08-01

Volume: 16

Issue: 8

Page Range: Unknown

Description:

Reducing gear noise in electric vehicle (EV) drivetrains is crucial due to the absence of internal combustion engine noise, making even minor acoustic disturbances noticeable. Manufacturing parameters significantly influence gear-generated noise, yet traditional analytical methods often fail to predict these complex relationships accurately. This research addresses this gap by introducing a data-driven approach using machine learning (ML) to predict gear noise levels from manufacturing and sensor-derived data. The presented methodology encompasses systematic data collection from various production stages—including soft and hard machining, heat treatment, honing, rolling tests, and end-of-line (EOL) acoustic measurements. Predictive models employing Random Forest, Gradient Boosting (XGBoost), and Neural Network algorithms were developed and compared to traditional statistical approaches. The analysis identified critical manufacturing parameters, such as surface waviness, profile errors, and tooth geometry deviations, significantly influencing noise generation. Advanced ML models, specifically Random Forest, XGBoost, and deep neural networks, demonstrated superior prediction accuracy, providing early-stage identification of gear units likely to exceed acceptable noise thresholds. Integrating these data-driven models into manufacturing processes enables early detection of potential noise issues, reduces quality assurance costs, and supports sustainable manufacturing by minimizing prototype production and resource consumption. This research enhances the understanding of gear noise formation and offers practical solutions for real-time quality assurance.

Open Access: Yes

DOI: 10.3390/wevj16080426

Introducing the concept of internet of digital reality – part i

None Csapó Tamás Budai György Wersényi Péter Baranyi

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2021-01-01

Volume: 18

Issue: 7

Page Range: 225-240

Description:

With the growing pervasiveness of Virtual Reality, Augmented Reality, Mixed Reality and Digital Twins combined with Artificial Intelligence, 5G networks and the omni-present 2D Web, we are entering into a new era, characterized by a multi-modal entangled combination of previously disparate realms of IT with human and social cognitive systems. This process of entanglement is arguably leading to a new, qualitatively different kind of reality, in which the bor-ders between the physical and digital world, as well as digital representations and simulations thereof are becoming increasingly fuzzy. Based on these developments, the paper re-interprets some well-known concepts – including virtual reality, augmented reality, mixed reality, as well as virtual / digital simulations and virtual / digital twins. Based on these new interpretations, the paper introduces the higher-level structures of Digital Reality (DR) and Internet of Digital Reality (IoD). It is argued that these structures can lead to a better understanding of the new possibilities afforded to humanity by pervasive digital technologies.

Open Access: Yes

DOI: 10.12700/APH.18.7.2021.7.12

Family and carrier role conflicts of female health professionals

Kovácsné Tóth Ágnes Feith Helga Judit Balázs Péter

Publication Name: Lege Artis Medicinae

Publication Date: 2008-05-01

Volume: 18

Issue: 5

Page Range: 413-418

Description:

The aim of this study was to gain statistically founded information about female health care workers' career and family role burden and role-conflicts in relation to their general health status. SUBJECTS AND METHODS - The survey was conducted among women doctors and college-degree nurses working in in-patient institutes and was based on self-provided information obtained from mailed questionnaires. The response rate was 45.54% (n=409). RESULTS - The exclusively career-oriented or family-oriented ways of life were both dismissed by a larger proportion of respondents, as these were considered equally important. Work-to-family conflicts were reported by 44.8%, mainly mentioning night shifts, lack of time and too much workload as a cause. One in five (19.5%) respondent reported family-to-work conflicts. The role conflicts correlate with life and career satisfaction, plans to leave profession, health status and the prevalence of psychosomatic symptoms. CONCLUSION - The results suggest the presence of many conflict points between the family and career roles of health care professionals working in the Hungarian healthcare system. The role-conflict had an explicitly negative effect on the respondents' general satisfaction and health status. The importance of this subject warrants further analytic and comparative investigations.

Open Access: Yes

DOI: DOI not available

Design of 2D rrsst system by FEM with T, φ-φ Potential formulation

Miklós Kuczmann

Publication Name: Pollack Periodica

Publication Date: 2008-04-01

Volume: 3

Issue: 1

Page Range: 67-80

Description:

The paper deals with the numerical analysis of a vector hysteresis measurement system, which is now under construction. The measurement set up consists of an induction motor whose rotor has been removed, and its windings have been replaced to a special two phases one, which can generate a homogeneous magnetic field inside the motor. A round shaped specimen can be inserted into the arrangement. The two orthogonal components of the magnetic field intensity and of the magnetic flux density vectors can be measured by H-coils and B-coils, respectively. The Finite Element Method (FEM) with the T, φ-φ potential formulation has been applied in the simulations. The vector hysteresis property of the specimen has been approximated by the isotropic vector Preisach model, finally the nonlinear problem has been solved by the convergent fixed point technique. The aim of the present work is to focus on the design aspects of this kind of measurement system. © 2008 Akadémiai Kiadó.

Open Access: Yes

DOI: 10.1556/Pollack.3.2008.1.6