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

Bencsik Andrea Szonja Jenei Szilvia Módosné Szalai

Publication Name: Journal of Data Information and Management

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

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

Sustainable Urban Mobility Plans Policies and Implementation in Europe: Evidence from Vienna, Thessaloniki, Terrassa, Budapest, and York

Edit Süle Adrian Horváth Maria Fernanda Florez

Publication Name: Local and Urban Governance

Publication Date: 2026-01-01

Volume: Part F1352

Issue: Unknown

Page Range: 203-226

Description:

This chapter delves into the urban planning framework, with a particular focus on Sustainable Urban Mobility Plans (SUMPs) implemented across Europe. These strategic documents, encouraged by the European Commission (EC) aim to enhance transport sustainability, reduce environmental impacts, and improve citizens’ quality of life by tackling challenges like congestion, air and noise pollution, climate change, road safety, and parking issues. However, the customization of SUMPs to fit each city’s unique context presents challenges in standardizing and comparing the effectiveness of implemented measures. This study examines Sustainable Urban Mobility Plans (SUMPs) from various European cities over the past decade, with a particular focus on Eastern and Central European countries to highlight best practices and strategies, using Budapest as a case study to validate the effect of infrastructure coverage on public transport usage. The findings reveal that while governments prioritize strategies, there is a poor tracking of regional key performance indicators, with much data being reported at a national level. The quantitative analysis in Budapest faces challenges due to limited historical data; however, the linear regression model shows a correlation between infrastructure and passenger kilometers. By comparing urban measures and their outcomes, this research aims to provide policymakers and urban planners with actionable insights on the most effective interventions for promoting sustainable mobility, offering guidelines for future variables analysis.

Open Access: Yes

DOI: 10.1007/978-3-032-04265-1_11

Collaborative Reflexivity and Circular Literacy in Platform-Driven Innovation Ecosystems: Implications for Business Strategies

Divesh Ojha Varun Chotia Gabriella Imre Salwa Saleh Almasabi Yuxin Meng

Publication Name: Business Strategy and the Environment

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This research develops and assesses a model based on capabilities that explains how platform-based open innovation networks enhance sustainability through sequential mediation processes. By relying on concepts of reflexive innovation, ecosystem learning, and knowledge co-creation, the research shows that participation in platforms enhances the maturity of the circular learning ecosystems; therefore, promoting collaborative reflexive practice. Reflexivity leads to two outcomes: (a) an individual-level increase in circular literacy, which implies an increase in knowledge, skills, and behavioral orientation to circularity, and (b) system-level sustainable platform-based innovation outcomes, comprising the social and environmental impacts of the innovational processes. The outcomes endorse the proposed mediation directions. Interestingly, the digital inclusivity orientation was not associated with the reflexivity-literacy relationship, signifying that inclusion requires a deeper organizational integration in order to generate high capability impacts. The study enhances the literature on circular economy and innovation by introducing the concepts of reflexivity and circular literacy as the strategic abilities of a company and providing managers and policymakers with insights on how to build inclusive and sustainability-oriented platform ecosystems.

Open Access: Yes

DOI: 10.1002/bse.70583

Monocular Ground Normal Prediction for the Road Ahead

Áron Ballagi Zoltan Rozsa Norbert Marko Tamas Sziranyi

Publication Name: IEEE Open Journal of Vehicular Technology

Publication Date: 2026-01-01

Volume: 7

Issue: Unknown

Page Range: 1066-1080

Description:

Robust fusion of monocular and inertial data has the potential to offer a low-cost alternative for ground surface normal prediction ahead, compared to more expensive sensors, such as LiDAR. Yet robust camera-based prediction remains challenging, particularly for steep grades and texture-poor, homogeneous road surfaces. To address these issues, we propose an enhanced monocular camera-IMU fusion pipeline incorporating a lightweight transformer-based feature matcher for improved correspondence accuracy, and robust temporal filtering, using a spherical linear interpolation (SLERP) filter, to enhance consistency and reduce drift. To enable rigorous benchmarking and reproducibility, we also standardize the evaluation protocol and release a novel dataset containing synchronized camera, LiDAR, and IMU-derived pose data, specifically captured across diverse incline and decline scenarios. Extensive continuous validation demonstrates that our method significantly improves both accuracy and temporal stability over existing approaches, setting a new state of the art for robust, continuous ground normal estimation ahead.

Open Access: Yes

DOI: 10.1109/OJVT.2026.3676610

Understanding how sources of communication can shape digital purchase intention

Charles Perez Jessica Lichy Vincent Dutot

Publication Name: Electronic Commerce Research

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Drawing on self-expansion theory, social identity theory, and social influence theory, this study examines how two sources of brand communication - offline friend communities and online communities—shape online purchase intention through self-expansion and brand identification. It also addresses a core limitation of dominant technology acceptance models, which treat social influence as monolithic and fail to capture source-level psychological effects. A quantitative survey of millennials (n = 224) is analyzed using partial least squares structural equation modelling and multi-group analysis. Results show that offline friend community belonging activates self-expansion, while online community belonging drives brand identification—two distinct pathways to purchase. A significant gender split emerges: both mechanisms predict purchase intention for males but not for females. Managerial implications include gender-specific budget allocation guidance between offline referral and online community strategies, and differentiated messaging to activate self-expansion and brand identification respectively.

Open Access: Yes

DOI: 10.1007/s10660-026-10128-1

A Study of High-Emission Industries: How Policy, Strategy, and Technology Shape Corporate Social Responsibility Toward Carbon Neutrality

Enrico Battisti Adeel Luqman Shalini Talwar Attila Kurucz Hawazen Almugren

Publication Name: Corporate Social Responsibility and Environmental Management

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The extant carbon neutrality (CN) literature largely offers macro- or meso-level analyses, providing limited insights into implementation experiences that could inform granular policymaking and industry strategies. To address this gap, we examine the lived CN experiences of firms in the transportation, energy, manufacturing, and construction sectors. Using multi-wave qualitative data analyzed through Gioia's approach, we identify policy, strategic practices, carbon-offsetting technologies, and emission-reduction approaches as key drivers of CN implementation. Notably, we establish the microfoundations of CN implementation by uncovering the nuanced roles of strategic, managerial, and operational levels as bridging mechanisms that translate policy mandates into firm-level decisions. Furthermore, we extend the theoretical understanding of the dual role of policy at the firm level, acting both as an enabling driver and a constraining factor. Finally, we propose the STEP framework, which conceptualizes CN implementation as a dynamic ecosystem of interacting forces operating within a feedback loop for continuous improvement and recalibration.

Open Access: Yes

DOI: 10.1002/csr.70438

Tutorial for the Strength Design of Embedded Rack Railway Structures

Szabolcs Fischer Zoltán Major Attila Németh Dániel Harrach Vivien Jóvér Gusztáv Baranyai

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 1

Page Range: 109-124

Description:

Rack railways have made it possible to run trains in steep and mountainous areas, by offering better traction and stability. This paper takes a closer look at the design challenges and practical solutions involved in upgrading these systems – especially when moving from traditional fish-plated jointed tracks to continuously welded rails in embedded track configurations. The authors focused on the forces acting on the rack, how thermal expansion is handled and what happens where tracks meet bridges. Using analytical methods and Finite Element Analysis (FEM), this work examines how different loads and temperatures affect the rack’s performance, especially in tight curves and high-gradient areas. The findings highlight the importance of flexible support structures, strong anchorage, and the use of durable rail profiles like TN70. The study also underscores how small design tweaks – like adjusting geometry or material properties – can go a long way in boosting both performance and lifespan. Overall, this work contributes to building safer, longer-lasting rack railway systems, that are easier to maintain over time.

Open Access: Yes

DOI: 10.12700/APH.23.1.2026.1.7

Changes in antibiotic use in Hungarian large pig farms between 2022 and 2024

László Ózsvári Máté Marietta Gombos László Holes Viktória Fanni

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2026-01-01

Volume: 148

Issue: 3

Page Range: 131-148

Description:

Background: The intensification of pig production systems has been associated with increased antimicrobial use (AMU), which remains a key driver of antimicrobial resistance (AMR) and a major concern for both veterinary and public health sectors. Monitoring and rationalizing antibiotic usage are crucial to prevent the selection of resistant bacterial strains that pose risks to both animal and public health. Objectives: The aim of this study was to assess the structure and magnitude of antibiotic use as well as related reduction strategies, in three large-scale Hungarian swine herds, based on farm data recorded between January 2022 and June 2024. Materials and Methods: Data were collected using a digital herd health monitoring system covering monthly animal health cases and antibiotic usage. Antibiotic use was evaluated by AMEG classification, active ingredient groups, route of administration (e.g. water, feed, injection), treatment type (therapeutic vs. metaphylactic) and age group (e.g. sows, weaners, fatteners). Quantitative indicators included total mass (mg) and mg/PCU values. Results and Discussion: Antibiotic use declined during the study period, particularly in weaned pigs by 87.6% (corrected mg/PCU: from 341.70 to 42.35). The most frequent clinical problems on the examined farms were enteric and respiratory disorders as well as arthritis. Drinking water medication remained dominant (93.8%), though individual treatments increased in frequency. In 2023, a major shift occurred toward targeted therapeutic use (83.7%) over metaphylaxis (16.3%). The increased proportion of AMEG C category antibiotics and reduced use of AMEG D category substances indicate changing prescribing patterns. Regular treatment logs, vaccination protocols, sensitivity testing and the use of organic acids and probiotics may contribute to a more prudent antibiotic approach. These results confirm the importance of diagnostics-driven treatment and farm-specific interventions in AMR mitigation.

Open Access: Yes

DOI: 10.56385/magyallorv.2026.3.131-148

Mechanical and Metallographic Characterization of GGV30 Vermicular Cast Iron applied in Road and Railway Vehicles

Szabolcs Fischer Szabolcs Szalai András Lajos Nagy László Pálfi Ágnes Pálfiné Böröcz

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 1

Page Range: 197-213

Description:

This study focuses on the mechanical characterization of GGV30 vermicular cast iron. GGV30 has gained increasing recognition in the automotive and railway industries, particularly for its use in critical components, like brake discs and clutch parts. Given the demanding nature of these applications, a thorough understanding of the material's mechanical properties and their variations under different operating conditions is essential to ensuring reliability and performance. A comprehensive review of various testing methods is provided, to analyze the mechanical behaviors of GGV30. These methods assess key parameters such as strength, durability and hardness, which are crucial for evaluating suitability, for automotive applications. By conducting these investigations, this study lays the foundation for future machining tests, offering valuable data from the workpiece perspective. This approach enhances the testing process, by identifying critical factors, reducing redundant experiments and optimizing the overall assessment of the material's performance.

Open Access: Yes

DOI: DOI not available