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The purpose of this paper is to propose an efficient numerical simulation tool based on FEM, by which the EMC shielding effect characteristics of power cables can be predicted in the 30-1,000 MHz frequency range, as if it would be measured by the absorbing clamp method.

The simulation method is based on decomposition: a 2D axisymmetric RF FE model is used for describing the whole measurement set-up, while a 3D quasi-static FE model is used for the symmetry cell of the shielding layer in order to capture the effect of its fine geometric details.

Comparison with real measurements shows that the shielding characteristics can be reliably predicted this way, with some deviation in the low end of the frequency range though.

This simulation tool can be applied in the design and optimization of braided cable shields to be used in the automotive industry.

Two numerical models are coupled by the novel concept of “equivalent shielding layer”, which is obtained by homogenization.

For central banks who study the use of cash, acceptance of card payments is an important factor. Surveys to measure levels of card acceptance and the costs of payments can be complicated and expensive. In this paper, we exploit a novel data set from Hungary to see the effect of stratified random sampling on estimates of payment card acceptance and usage. Using the Online Cashier Registry, a database linking the universe of merchant cash registers in Hungary, we create merchant and transaction level data sets. We compare county (geographic), industry and store size stratifications to simulate the usual stratification criteria for merchant surveys and see the effect on estimates of card acceptance for different sample sizes. Further, we estimate logistic regression models of card acceptance/usage to see how stratification biases estimates of key determinants of card acceptance/usage.

Based on empirical data, this study investigates the intention of BA/BSc students in higher education to either pursue their studies or start working.

This paper analyses how students' attitudes towards higher education and studying (quality of undergraduate education and performance in higher education), as well as the intention to meet labour market needs, influence the decision of pursuing studies in a Master's programme.

The main reason why respondents do not intend to pursue their studies is not because they do not want to work. It is primarily the acquisition of knowledge and the motivation to learn that encourages students to stay in higher education. Moreover, individual performance in Bachelor programmes has no influence on the decision made by students to study or work after graduation.

As for the limitations of the study, the authors have to mention that although the survey is based on data from a single country, the similarity of the international and Hungarian previous research results suggests that similar results would have been obtained in an international sample. Furthermore, the impact of the current ongoing epidemic on the further learning of young people in tertiary education at primary level could not be investigated by the authors.

The bivariate logistic regression results show that the correlation between secure job placement in a field of study and the quality of education is not significant. Furthermore, students are primarily motivated by the desire to learn and acquire knowledge. The reasons can therefore be explored based on the analysis of more detailed data, which could be the subject of a subsequent study.

The authors conducted their research in Hungarian higher education at seven universities between 2019 and 2020 to determine the influencing factors of career choice decisions, the degree of students' satisfaction with their selected course, their attitude towards higher education and learning, their job opportunities after graduation and the extent to which their decision is made according to their labour market orientation. Although the study relies on data from a single nation, the similarity between the findings of previous international (Hovdhaugen and Ulriksen, 2021; Sikyr et al., 2019); and Hungarian (Berezvai, 2022; Kiss and Varga, 2022) research suggests that an international sample would have produced similar results.

This paper aims to analyze general waste handling in Hungarian particleboard production and give solutions based on experimental researches. During our research reuse of waste in Hungarian particleboard production was studied. A wood industrial branch, which can be considered as both a waste “producer” and a waste “re‐user”, recycler was mapped. This allowed an examination and analysis of both sides of waste handling. In the experimental work the effect of recycling dried impregnated décor paper in particleboard production was evaluated. The primary goal was to work out technologies for recycling non‐dangerous materials such as washing water, production and process waste from the cutting of boards. With these technologies general techniques for waste handling in the particleboard industry can be developed. The results of the experiments with impregnated paper showed that by adding crushed impregnated paper the strength of the particleboards can be increased or the same board properties can be achieved with reduced amounts of applied adhesive (UF). Based on this case study the waste handling in Hungarian particleboard companies can be worked out. More experimental researches should be made to give solutions on every waste handling needs. Solutions and advices for the particleboard industry to work in an environmental friendly and economical way are practical implications of the research. This paper was created based on a case study and researches at the University of West Hungary and Hungarian particleboard companies.

Banks play a vital role in the economy. Investigating their competitive environment is crucial to ensuring economic stability and development. The FinTech disruption has risks and opportunities for incumbent banks, and it can be valuable to investigate its effects on banking performance. Therefore, the aim of this study is to assess whether investment in FinTech is associated with better performance of Indian banks during 2012–2018.

To do this, a sample of Indian banks was investigated between 2012 and 2018 using k-means and hierarchical cluster analysis, ANOVA, and pairwise comparison tests.

Results of the analysis strongly suggest that investment in FinTech is associated with better banking performance. Higher FinTech investments, represented by mobile transaction volume, are associated with higher efficiency scores and accounting-based performance. In particular, banks that invest in FinTech and have relatively low non-performing loans have a 7.7% higher Return on Employment (ROE) than banks with exceptionally low FinTech use and no significant investment in smart branches.

Therefore, it can be recommended that Indian banks adopt a forward-looking strategic approach when making investment decisions regarding new technologies. Failing to adapt to the FinTech disruption may result in poor value creation prospects in the long run.

To the best of the authors' knowledge, this is the first study that analyses. We are not aware of any similar study on whether investment in FinTech is associated with better performance of the Indian banks during 2012–2018.

Western economists have for long been under the impression that research into economic problems is stagnating in the Soviet Union. This view is now confirmed by the address which Academician V. Dyatchenko delivered at the 1955 national conference of the heads of the departments of the social sciences of the universities and schools of technology of the Soviet Union, in which he summarised the present state of research activities, and outlined the tasks to which Soviet economists should turn their efforts.

The purpose of this paper is to investigate the role of crop insurance among Hungarian crop farmers and the responses to the introduction of the two-scheme risk management system. Specifically, first, it examines the economic and environmental factors affecting the willingness of farmers to contract crop insurance. Second, it reveals the relationship between having crop insurance and technical efficiency of crop producing farms.

Probit models of panel data are applied to explore the factors of insurance decisions. The relationship between efficiency and insurance is investigated with two-stage data envelopment analysis (DEA) model with double bootstrap using panel data for the 2001 to 2014 period.

The results of Probit model estimations show that the education, the size, the indebtedness of crop producing farms and the new two-scheme risk management system are in positive correlation, while the concentration of farming activity are in negative correlation with the crop insurance contracting. The estimations of two-stage DEA model reveal that crop producing farms with an agricultural insurance contract are more efficient than the farmers without using this risk management tool.

Empirical investigation of the influencing factors of agricultural insurance demand in Hungary and the examination of the relationship between insurance and technical efficiency may contribute to the development of Hungarian risk management system.

This study aims to explore the holistic context of organisational staff retention in small, medium and large organisations. It also aims to identify the factors affecting the retention of organisations of different sizes.

The study implements an empirical test of a model created during previous research with the participation of 511 employees. The responses to the online questionnaire and the modelling were analysed using the partial least squares structural equation modelling method. The models were tested for internal consistency reliability, convergent and discriminant validity, multicollinearity and model fit.

Two models were tested by organisation size, which revealed a total of 62 significant correlations between the latent variables tested. Identical correlations were present in both models in 22 cases. After testing the hypotheses, critical variables (nature of work, normative commitment, benefits, co-workers and organisational commitment) were identified that determine employees’ organisational commitment and intention to leave, regardless of the size of the organisation.

As a result of this research, the models developed are suitable for identifying differences in organisational staffing levels, but there is as yet no empirical evidence on the use of the scales for homogeneous groups of employees.

The results show that employees’ normative commitment and organisational commitment are critical factors for retention. Of the satisfaction factors examined, the nature of work, benefits and co-workers have a significant impact on retention in organisations, so organisational retention measures should focus on improving satisfaction regarding these factors.

The readers of the journal would appreciate the work, which highlights the significance of employee psychology and retention for organisational success.

The study is based on primary data and, to the best of the authors’ knowledge, is one of the few studies that take a holistic approach to organisational staff retention in the context of the moderating effect of organisational size. This study contributes to a comprehensive understanding of the phenomenon of employee retention and in contrast to previous research, examines the combined effect of several factors.

This study aims to construct a scale for measuring the spa hotel experiencescape in wellness tourism, clarify the mechanism through which wellness tourism experiencescape influences revisit intention and investigate the mediation roles of authenticity, memorability and organizational identification.

This study conducted content analysis of interviews, online reviews and relevant articles and used the concept of experiencescape to interpret spa hotels’ experiential environment. The stimulus–organism–response (SOR) model was used as the basis for introducing authenticity, memorability, organizational identification and revisit intention to investigate how wellness tourism experiencescape affects tourists’ behavior. In total, 488 valid questionnaires were collected at Taiwanese spa hotel clusters.

Four factors of spa hotel experiencescape were identified: health promotion treats, mental learning, unique travel experience and healthy diet. Existential authenticity–memorability and existential authenticity–organizational identification exerted full positive mediation effects in the relationship between wellness tourism experiencescape and revisit intention.

This study provides guidance on experience design for spa hotels. It promotes the consideration of existential authenticity in wellness tourism design.

The COVID-19 pandemic has raised awareness of wellness, drastically increasing the potential of the wellness tourism market. This study investigated the construction of wellness tourism experiencescape and its influence, and the findings can facilitate post-pandemic restoration of the wellness tourism industry. On the basis of SOR model, a chain mediation model was proposed to reveal the influence of wellness tourism experiencescape on revisit intention. Existential authenticity was discovered to play a crucial role in the relationship between wellness tourism experiencescape and revisit intention, which suggests that existential authenticity should be considered during service design and in marketing strategies for wellness tourism.