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Focus on onboarding process: Examining mentoring and training programs from the perspective of HR and employees

Attila Kurucz Marianna Süveges

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 12

Page Range: Unknown

Description:

In response to the rapid and dynamic changes in the economic environment, companies must improve their processes to maintain competitiveness. This includes enhancing their intellectual capital, with particular emphasis on effective onboarding processes, which play a crucial role in integrating new employees and retaining talent. This enhances the value of the organization’s intellectual capital and emphasizes onboarding—the training and integration of new employees—whose proper functioning impacts staff retention. Drawing on both Hungarian and predominantly foreign literature, we highlight onboarding processes and examine their implementation in Hungarian companies of various sizes. The research employed a mixed-method approach, combining semi-structured interviews and questionnaires. In-depth interviews were conducted with HR leaders from 13 Hungarian organizations to explore the existence of mentoring programs. Additionally, 161 employees across Hungary completed questionnaires, which examined their perspectives on onboarding processes and the relationship between mentoring programs and company size. We analyzed the data using chi-square tests to assess the strength of these relationships. While all large companies in our sample had formal mentoring programs, smaller companies displayed more variability, with some relying on informal or ad-hoc onboarding processes. Based on these results, we identified several key areas for improvement in onboarding processes. These include enhancing the structure of feedback interviews, ensuring more comprehensive communication channels, and strengthening mentoring programs across companies of all sizes. By addressing these gaps, companies can improve employee retention, engagement, and overall integration during the onboarding process, contributing to a more stable and motivated workforce.

Open Access: Yes

DOI: 10.24294/jipd.v8i12.8733

Varying Levels of Trust across Multi-Level Governance: a Sustainability Perspective

Lívia Ablonczy-Mihályka Zsuzsanna Pálffy

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 1045-1050

Description:

Social sustainability, the third pillar of sustainability alongside ecological and economic dimensions, focuses on maintaining the well-being and viability of communities, as a healthy functioning society is a prerequisite for sustainable operation. Trust, a common measure of social sustainability, is a fundamental pillar of a sustainable, resilient, inclusive, transparent and accountable society. This research aims to analyse how trust as a measure of social sustainability interacts with different levels of governance and institutional performance in the Visegrád Four countries. The study found that although there is a significant correlation between various factors of institutional trust at the national level, there is no meaningful relationship between general and institutional trust across the examined countries (Czech Republic, Hungary, Slovakia, and Poland). The analysis found that institutional trust is influenced more by endogenous factors, such as perceived governance effectiveness and citizen satisfaction, than by general trust. However, no strong correlation could be shown between Word Governance Indicator and institutional trust. The findings show that trust does not progressively decline towards higher levels of institutions; instead, proximity and citizen engagement boost trust at the local level, while different mechanisms likely drive trust at higher government levels. Additionally, the research highlights that in post-communist societies, strong traditions of particular trust limit general trust in institutions, emphasizing the complexity of trust dynamics within different governance levels.

Open Access: Yes

DOI: 10.3303/CET24114175

Examination of the Effects of Dynamic Speed Limit on Shock Waves with a Simulation Technique

Balázs Horváth Viktor Nagy Gergely Kruppa

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2024-01-01

Volume: 52

Issue: 1

Page Range: 52-58

Description:

The aim of motorway networks is to ensure smooth, high volume road traffic. The problem of anomalies in the system has been a longstanding concern for researchers, and with the widespread use of motorway networks a series of studies have been published on the subject. Speed limitation is one of the most important tools of mitigating disturbances. This study is looking for a solution to the problem known as the "shock wave effect". The research is based on a simulation method in a PTV VISSIM environment. The software can be used to examine certain traffic conditions, and then apply dynamic speed limitation based on these conditions. The Built Environment Information Platform (BENIP) is based on the idea that the built environment, the traffic, and the flow of information between them are closely related. The relevance of the study lies in the fact that a point-based notification of speed limits can be used for vehicles – a technology that is available in most cases at the infrastructure level on motorways – thus, improving road capacity and traffic safety.

Open Access: Yes

DOI: 10.3311/PPTR.22238

Population genetic parameters and phenotypic trends based on soperformance tests data of native Gidran broodmares

Szabolcs Bene J. Péter Polgár László Rózsa Annamária Simon Dávid Mezőszentgyörgyi Ferenc Szabó

Publication Name: Journal of Central European Agriculture

Publication Date: 2024-01-01

Volume: 25

Issue: 3

Page Range: 620-632

Description:

Body measurement and some conformation data recorded in the national breeding mare performance test of the Hungarian Association of Gidran Horse Breeders were processed. The initial database contained the data of the entire Hungarian active (living) breeding mare stock (N = 293), which were born between 1994-2016 and were offspring of 44 breeding stallions. During the study, eight traits-height at withers measured with stick and tape (HWS, HWT), chest girth (CHG), cannon circumference (left fore/front) (CAC), pedigree score (PES), conformation score (COS), movement score (MOS), total score (TOS)-were evaluated. One-and multi-trait analysis of variance (GLM) and weighted linear regression analysis were used to process the data. The corrected mean values (± SE) of the examined traits were as follows: HWS 161.6 ± 0.4 cm, HWT 169.6 ± 0.5 cm, CHG 188.4 ± 0.7 cm, CAC 19.9 ± 0.1 cm, PES 29.1 ± 0.3 points, COS 72.8 ± 0.5 points, MOS 40.5 ± 0.4 points, TOS 142.4 ± 0.7 points. The heritability of HWS, HWT, COS and TOS was moderate and high (0.37-0.47), CHG and CAC proved to be moderate (0.29-0.31), while low h2 values were estimated for MOS (0.20). In the case of body measurements, moderate, decreasing trends (b =-0.25,-0.33,-0.35 and-0.08 cm/year, respectively; P < 0.01), for the other traits while stagnant (NS) phenotypic trends were observed. It can be concluded that the average body measurements as well as the results of the other examined traits for the Gidran breeding mares did not change essentially over time.

Open Access: Yes

DOI: 10.5513/JCEA01/25.3.4235

A Long Short-Term Memory-Based Deep Learning Digital Twin of a Li-Ion Cell for Battery SOC Estimation †

József Richárd Lennert Denes Fodor

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This study aims to implement the digital twin of a Li-ion battery by using real measurement data and to create a deep learning-based SOC (state of charge) estimation solution. In the case of the SOC estimator, a special type of deep learning, so-called long short-term memory (LSTM), was used to increase the capabilities of the estimator. The digital twin and the SOC estimator were created by using MATLAB and MATLAB/Simulink. As a result, the implemented system can accurately simulate the non-linearities of the Li-ion battery and provide a satisfactory estimation of the SOC of the battery.

Open Access: Yes

DOI: 10.3390/engproc2024079016

Digital services of tourist areas—Key to competitiveness

Eva Happ Marcell Kupi Zsuzsanna Ivancsóné Horváth

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 6

Page Range: Unknown

Description:

In our study, we examined 11 designated tourist destinations in Hungary, which can also be interpreted as tourism products including services, infrastructure and attractions. The National Tourism Development Strategy (NTS) also puts a strong emphasis on digitalisation, as it is an unstoppable process with a significant impact on tourism, thanks to globalisation, increasing competition, accelerating information flows and the dominant paradigm shifts on the demand and supply side. We used both qualitative and quantitative methods in our primary research. First, we conducted in-depth interviews with several important tourism service providers in Hungary on the topic of the digitalisation of tourism. A professional questionnaire, addressed to the offices responsible for destination management was distributed in the designated tourist destinations in Hungary in order to get a more comprehensive picture of the attitudes towards digitalisation in the regions under study. In the course of our work, we managed to classify the destinations into three distinctly different clusters. Our hypothesis—that the higher the digitalisation of a tourist destination is, the higher the average length of stay—was partially confirmed by calculating the regional value of the digitalisation, logistic regression analysis, slope and the individual factor categories.

Open Access: Yes

DOI: 10.24294/JIPD.V8I6.3912

COMPARATIVE ANALYSIS OF THE ENVIRONMENTAL IMPACT OF STEEL AND REINFORCED CONCRETE HALL STRUCTURES

János Szép Kitti Karolyfi

Publication Name: Iet Conference Proceedings

Publication Date: 2024-01-01

Volume: 2024

Issue: 8

Page Range: 65-71

Description:

The examination of the environmental impact of buildings during the design process is becoming increasingly important nowadays. Since the geometry and materials of the building are chosen during the conceptual design phase, it is of paramount importance to explore alternative solutions during this stage, considering their significant effect on the building’s environmental footprint and performance later. The aim of this study is to compare the environmental impact of an industrial hall depending on the applied structural material and geometry. 48 different geometries were generated and evaluated using parametric design focusing on the first stage of the lifecycle. Regarding the material of the load-bearing structure, the prefabricated reinforced concrete hall exhibits a lower overall environmental impact compared to the steel structure of the same geometry. In terms of geometry, among the three spans examined (16.5, 18, and 20 meters), the largest span proves to be the most environmentally advantageous.

Open Access: Yes

DOI: 10.1049/icp.2024.2683

Tribological Investigation of Base Oil Supplemented with Zirconia Nanoparticles at Various Operating Temperatures †

I. Szabó Márk Marsicki

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This study examines oil samples with zirconium dioxide (ZrO2) nanoparticles in Group III base oil at different temperatures, revealing the effects of temperature and concentration on the tribological system. The samples contain 0.1% and 1% ZrO2 nanoparticles, tested at 40–120 °C. The friction results showed that the nanoparticles increase the friction absolute integral values at all tested temperatures; however, static friction can be improved by 3–13%. The study demonstrates the wear-resistant effect of ZrO2 nanoparticles. Significant wear reduction can be achieved even at low concentrations; wear volume can be reduced by 21–87% depending on the nanoparticle concentration and operating temperature. Scanning electron microscopy with EDX helped to identify wear types, the processes occurring on the surfaces, and the percentage of nanoparticles on the surface.

Open Access: Yes

DOI: 10.3390/engproc2024079035

Scalable Supervisory Architecture for Autonomous Race Cars

Gergely Bári Péter Bogdán Zalán Demeter Ármin Bogár-Németh

Publication Name: IEEE Intelligent Vehicles Symposium Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 264-271

Description:

In recent years, the number and importance of autonomous racing leagues, and consequently the number of studies on them, has been growing. The seamless integration between different series has gained attention due to the scene's diversity. However, the high cost of full scale racing makes it a more accessible development model, to research at smaller form factors and scale up the achieved results. This paper presents a scalable architecture designed for autonomous racing that emphasizes modularity, adaptability to diverse configurations, and the ability to supervise parallel execution of pipelines that allows the use of different dynamic strategies. The system showcased consistent racing performance across different environments, demonstrated through successful participation in two relevant competitions. The results confirm the architecture's scalability and versatility, providing a robust foundation for the development of competitive autonomous racing systems. The successful application in real-world scenarios validates its practical effectiveness and highlights its potential for future advancements in autonomous racing technology.

Open Access: Yes

DOI: 10.1109/IV55156.2024.10588615