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Publications - 6674

Habits of Using Private Gardens and Green Spaces in Suburban Villages around Nitra

Hardi Tamás Gabriela Repaská Ádám Páthy Ján Veselovský

Publication Name: Geographica Pannonica

Publication Date: 2025-01-01

Volume: 29

Issue: 1

Page Range: 48-64

Description:

The growth of suburbs alters the traditional villagescape due to increasing population and new housing developments. This not only affects the buildings but also alters the green spaces within the settlements. The amount of green space is decreasing as more densely populated developments are built. Additionally, most green spaces in villages are privately owned, with gardens making up the majority of these areas. Our study examines the attitudes of the population towards gardening and greening in four settlements near Nitra, Slovakia. Through questionnaires we explore how the attitudes of both newcomers and local residents differ and how this varies between the different settlements, to identify any differences in attitudes towards gardening.

Open Access: Yes

DOI: 10.5937/gp29-55081

Creating a business model in the context of changes in the macro environment

Ján Dobrovič Jan Váchal Jarmila Straková Bálint Filep Milan Talíř

Publication Name: Journal of International Studies

Publication Date: 2025-01-01

Volume: 18

Issue: 1

Page Range: 284-296

Description:

In recent decades, the development of product-profit corporate business models has emerged as a significant topic of interest for corporate managers and academics. This paper examines the creation of product-profit corporate business models in a specific industry during a crisis period. The study sample comprised over 260 companies over 2021 and 2022. The research employed correlation analysis, one-criteria ANOVA, and Dimensional Analysis to test four hypotheses. The research results showed that the components of the corporate environment (microenvironment, meso-environment, and macro-environment) are interconnected. The significance of the meso-environment in generating business models was confirmed, highlighting its impact on competitiveness and profitability. The findings indicated a shift in the conceptualization of business models based on corporate margin creation. Economic, political-legal, and technical-technological factors were found to play increasingly important roles. The study also disproved the hypothesis regarding the time dimension in corporate or business strategy innovation. Corporate practice has reduced the time intervals for innovation from years to the current timeframe of months. This suggests a disconnect between corporate practice and scientific research in business model projection. Overall, this article addresses the scientific knowledge deficit surrounding specific business models for individual industries. It provides insights into effective business model projection and implementation strategies sought by business managers.

Open Access: Yes

DOI: 10.14254/2071-8330.2025/18-1/16

Mitigation of technostress and its effects based on trust and organizational culture through the example of a railway company

Andrea Bencsik Szonja Jenei Szilvia Módos-Szalai

Publication Name: Journal of Data Information and Management

Publication Date: 2026-06-01

Volume: 8

Issue: 2

Page Range: 97-113

Description:

Technostress has become a significant challenge in digital workplaces, potentially affecting employees’ well-being and productivity. This study investigates the presence of technostress in a railway transportation company, focusing on digital overload and knowledge hoarding. It also examines how organizational trust supports knowledge sharing and helps employees adapt to technological challenges in the workplace. A quantitative survey was conducted among railway employees who regularly use IT tools in their daily work. The study applied descriptive statistics, cross-tabulation analysis, correlation analysis, and cluster analysis. No regression modeling was performed, as the aim of the empirical analysis was exploratory and relationship-oriented rather than model estimation. The findings indicate that digital overload and knowledge hoarding represent the most prominent sources of technostress in the examined organization. Demographic factors show only a limited influence on technostress perceptions, while organizational trust plays an important role in supporting knowledge sharing and mitigating technostress. The results also reveal that employees place greater trust in human collaboration than in technological systems, although no significant distrust in technology was observed. The results suggest that organizations can reduce technostress by strengthening trust-based organizational cultures, promoting knowledge sharing, and implementing HR practices that support employees’ digital adaptation. Transparent communication, targeted training, and supportive leadership can contribute to improving employee well-being and managing technostress in digitally intensive workplaces. This study contributes to the literature on technostress by highlighting the interrelationship between technostress, organizational trust, and knowledge sharing in a railway industry context. The findings provide practical insights into how trust-based organizational cultures can support employees in coping with technological change and digital transformation.

Open Access: Yes

DOI: 10.1007/s42488-026-00161-y

Generational perspectives on menstrual health management in Indonesia: contrasts between Millennials and Gen Z

Santi Setyaningsih Siska Purnama Manurung Rosita Widjojo Siska Purnama Manurung

Publication Name: Cogent Social Sciences

Publication Date: 2025-01-01

Volume: 11

Issue: 1

Page Range: Unknown

Description:

Menstrual health management (MHM) reflects a complex interaction of educational, socio-cultural, economic, and environmental influences. While various aspects of MHM have been explored in previous studies, little attention has been given to how these factors differ across generations. This study examines generational variations in MHM among Indonesian women, focusing on Millennials (born 1981–1996) and Generation Z (born 1997–2012). Using a quantitative survey involving 334 participants, consisting of 171 Millennials and 163 Gen Z participants, the study investigates attitudes, practices, and behaviors related to MHM. Results show broad similarities between the two cohorts, alongside notable differences in three areas: monthly spending on menstrual products, adequacy of initial menstrual education, and use of environmentally friendly menstrual products. Millennials reported higher spending and greater engagement to sustainable products, likely due to stronger financial stability, whereas Gen Z participants demonstrated better early menstrual education and digital information access. The study highlights the need for inclusive and generation-responsive menstrual health programs that represent Indonesia’s diverse cultural and socio-economic contexts.

Open Access: Yes

DOI: 10.1080/23311886.2025.2594226

Automatic Definition of Traffic Analysis Zones Based on Big Data

Balázs Horváth Viktor Nagy

Publication Name: Applied Sciences Switzerland

Publication Date: 2024-07-01

Volume: 14

Issue: 13

Page Range: Unknown

Description:

The planning process for any transport system can be considered complete if it is accompanied by a modeling system to evaluate the intervention. The study area should always be divided into traffic zones. Correct zoning is the key to any transport system study. The basic principles of zone creation require a thorough understanding of the area and local traffic conditions. However, this is not always a given, especially if a universally applicable assessment system is to be developed. This has led to the need to develop an algorithm that is able to provide an estimate for the definition of traffic zones based on some automatically observable or measurable phenomena or sequence of events. The aim of this research is to identify the observable events that are suitable for characterizing the area, so that an automatic zone definition procedure can be developed based on these. In this paper, automatic WAZE-generated congestion data were processed in a selected district of Budapest. During the processing, the area was divided into a grid network and time series were developed that show the traffic flow on the grid network as a function of the congestion level. The area subdivisions were then clustered using spectral clustering to create spatially distinct districts with identical traffic behavior.

Open Access: Yes

DOI: 10.3390/app14135964

Examining the partnerships and sustainability of the third sector using the EFQM model

Mónika Rajcsányi-Molnár Márta Konczos Szombathelyi Nóra Mária Halmai

Publication Name: Civil Szemle

Publication Date: 2025-09-10

Volume: 2025

Issue: Special Issue 9

Page Range: 24-41

Description:

The purpose of the study is to determine whether the sustainability and cooperation levels of third sector organizations can be examined using the EFQM Model. By employing the Quadruple and Quintuple Helix models alongside an integrated framework of community innovation, the study explores the civil sector’s role in achieving the UN Sustainable Development Goals (SDGs). Viewing the Helix model as a framework that facilitates communication and decision-making among social actors, the study emphasizes that civil organizations can significantly foster socialization and innovation, thereby enhancing the efficacy of implementing innovative ideas. The responsibilities of civil organizations are intricately linked to community innovation. Sustainable development goals encompass not only the aspirations of individuals, businesses, and countries but also those of society as a whole. Consequently, the innovation discussed here is social innovation, which includes numerous alternative definitions. The EFQM model provides a comprehensive framework for evaluating organizational performance and fostering continuous development. By utilizing the EFQM model, organizations can establish measurable goals and key performance indicators, thereby enhancing their resilience. Moreover, effective collaboration among third sector organizations and between them and other stakeholders is crucial for maximizing social impact. The EFQM model prioritizes leadership, stakeholder engagement, and strategic collaboration, allowing organizations to build trust and pursue collective objectives. This study, based on a questionnaire survey, hypothesizes that third sector organizations can employ the EFQM framework to bolster collaboration, improve sustainability, and ultimately enhance their capacity to effect positive change in their communities.

Open Access: Yes

DOI: 10.62560/CSZ.2025.05.2

Doing more with less: the role of institutional quality in enhancing energy efficiency in Italy’s “hard-to-abate” sectors

Cristian Barra Pasquale Marcello Falcone Patrizio Giganti

Publication Name: Journal of Industrial and Business Economics

Publication Date: 2026-06-01

Volume: 53

Issue: 2

Page Range: 825-867

Description:

This paper investigates the role of institutional quality in enhancing energy efficiency within Italy’s “hard-to-abate” industrial sectors, which include cement and lime, glass and ceramics, metal, pulp and paper, and refineries. These sectors account for a significant share of global energy consumption and CO2 emissions and face unique challenges in decarbonization. Using a novel dataset from the EU Emissions Trading System (EU ETS), covering 329 Italian plants from 2013 to 2019, the study applies the Directional Distance Function (DDF) to measure energy efficiency and explores the impact of institutional quality on energy performance through Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression. The analysis highlights greater energy efficiency among multi-plant firms, firms in the pulp and paper sector, and firms located in Central Italy. Regression results further show that institutional quality has a significant positive effect on energy efficiency, especially in competitive markets, among multi-plant and non-innovative firms, in Northern regions, and in the glass and ceramics and metal sectors. This paper contributes to the literature by underscoring the importance of institutional quality in driving energy efficiency in energy-intensive sectors and offers policy implications for promoting industrial decarbonization.

Open Access: Yes

DOI: 10.1007/s40812-025-00387-8

Evaluation of Fim Performance under Merger and Acquisition Effect: An Integrated LOPCOW-PIV Approach

Dragan Pamucar Gautam Mitra Sanjib Biswas Sudipta Dey

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-01-01

Volume: 8

Issue: 1

Page Range: 588-614

Description:

Merger and Acquisition (MA) is one of the critical strategic decisions for the firms that impact the existence and growth of the organizations. The present paper undertakes the context of MA and aims to compare performance of some of the recent acquirers using fundamental financial ratios and market indicators. The study period spans over four consecutive financial years (FY 2019-20 to FY 2022-23). To carry out a comprehensive evaluation of firm performance, the current work uses a multi-criteria decision-making (MCDM) framework of LOPCOW (Logarithmic Percentage Change-driven Objective Weighting) and PIV (Proximity Index Value) methods. To aggregate the year wise rankings of the firms, Borda Count and Rank Index Method (RIM) is used. It is observed that ROE (C1), Net Profit Margin (C4) and EPS (C9) obtained the highest weights over the study period. On aggregate, we find that Infosys (A4), HUL (A3) and ITC (A1) show top performance while Vodafone (A11), PVR Inox (A9) and IDFC First Bank (A13) remain in the bottom bracket. The comparative analysis with other MCDM models reveals that the ranking results are consistent while the outcome of the sensitivity analysis reflects the stability. The present work provides a new perspective to the investors, policy makers and analysts.

Open Access: Yes

DOI: 10.31181/dmame8120251448

Predicting Gear Noise Levels in Electric Multiple Units Based on Microgeometry Modifications Using Clustering and Inverse Distance Weighting †

Ambrus Zelei Krisztian Horvath Krisztián Horváth Krisztián Horváth

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Reducing noise in electric multiple-unit (EMU) gearboxes demands prediction tools that are both rapid and reliable. Gear sound pressure levels vary sharply with micrometre-scale changes such as tooth repair, inclination, or profile relief, yet traditional estimates depend on hours-long CAE simulations. We present a data-driven hybrid surrogate that combines k-means clustering and inverse distance weighting (CLS-IDW) within the ODYSSEE A-Eye platform to map geometry modifications directly to broadband noise. Trained on the open 200-case Romax dataset, the model returns predictions within milliseconds and reproduces unseen operating points, with R2 = 0.75 and a mean absolute error of 2.33 dB, matching solver repeatability. Sensitivity analysis identifies a −7° tooth inclination coupled with a 10 µm repair depth as the most effective combination, lowering noise by 3–5 dB. Eliminating costly CAE loops, the surrogate supports acoustics-aware optimisation at the concept stage, compressing development cycles and enhancing passenger comfort while maintaining transparency for regulatory review.

Open Access: Yes

DOI: 10.3390/engproc2025113034