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Publications - 6278

Obstacles to Finding the Ideal Workplace: A Gender-Based Analysis Across the V4 Countries

Lóránt Dávid József Poór Norbert Gyurián Botond Géza Kálmán Szonja Jenei Szilvia Módosné Szalai Dhruv Pratap Singh

Publication Name: Emerging Science Journal

Publication Date: 2025-08-01

Volume: 9

Issue: 4

Page Range: 2261-2274

Description:

This study explores gender-specific barriers to finding an ideal workplace in the Visegrád countries (Czech Republic, Hungary, Poland, and Slovakia), where similar historical and socioeconomic contexts shape labor market inequalities. Based on the relevant literature, women are disproportionately affected by challenges related to language proficiency, professional networks, and mobility. The research applied a quantitative methodology, including chi-square tests, multiple logistic regression, and cluster analysis, using SPSS Statistics software to analyze the survey data. Findings revealed significant gender disparities. Women report greater difficulties with language and mobility, particularly in Hungary and Slovakia, whereas men benefit more from strong professional connections. The cluster analysis identified three respondent groups: those hindered by language barriers, those with weak networks, and those facing limited mobility. International experience mitigates language challenges, and robust networks ease job search difficulties. In line with the ideals of a circular society, this study also explores how circularity, inclusiveness, and collaboration can help break down gender-based barriers in the labor market. The study’s novelty lies in its comparative regional focus and the integration of statistical methods to segment job-seeker profiles. These insights highlight the need for targeted policies that enhance language skills and foster professional networking opportunities, especially for women. By addressing these barriers, policymakers can better support gender equality in labor market access across Central Europe.

Open Access: Yes

DOI: 10.28991/ESJ-2025-09-04-029

Evaluating the impact of advertising strategies on rural brand building: Insights from the personal care FMCG sector

Vinod Sharma Chandan Maheshkar Manohar Kapse Yogesh Mahajan Sándor Remsei

Publication Name: Innovative Marketing

Publication Date: 2025-01-01

Volume: 21

Issue: 3

Page Range: 117-127

Description:

This study examines how advertising strategies, namely, content, media, and design, influence brand-building efforts in rural markets, with a specific focus on the mediating role of content relevance. Anchored in the Elaboration Likelihood Model (ELM), the research recognizes that rural consumers often process advertising through the peripheral route, relying on visual, linguistic, and cultural cues rather than rational evaluation. Data were collected through a structured survey of 498 rural consumers across thirteen towns in Madhya Pradesh. Using covariance-based structural equation modelling, the study finds that advertising content (β = 0.353), media (β = 0.253), and design (β = 0.298) significantly affect brand perceptions. More importantly, content relevance emerges as a key mediator, with indirect effects ranging from β = 0.180 to 0.243 (p < 0.01), indicating that rural consumers are more likely to engage with advertising that aligns with their values, language, and lifestyle. Theoretically, the study extends the ELM framework to low-involvement consumer settings and highlights the nuanced role of cultural relevance in shaping brand engagement. Practically, the findings offer marketers a roadmap for creating locally adapted and emotionally resonant campaigns that move beyond urban-centric models. This research underscores the im-portance of designing inclusive advertising strategies that build lasting brand relationships with India’s diverse rural population.

Open Access: Yes

DOI: 10.21511/im.21(3).2025.09

Vehicle classification using neural networks with a single magnetic detector

Peter Šarčević

Publication Name: Studies in Computational Intelligence

Publication Date: 2014-02-03

Volume: 530

Issue: Unknown

Page Range: 103-115

Description:

In this work, principles of operation, advantages and disadvantages are presented for different detector technologies. An idea of a new detection and classification method for a single magnetic sensor based system is also discussed. It is important that the detection algorithm and the neural network classifier needs to be easily implementable in a microcontroller based system. © Springer International Publishing Switzerland 2014.

Open Access: Yes

DOI: 10.1007/978-3-319-03206-1_8

Environmental apprehension under COP26 agreement: Examining the influence of environmental-related technologies and energy consumption on ecological footprint

Gagan Deep Sharma Magdalena Radulescu D. Balsalobre-Lorente M. Usman Amar Rao

Publication Name: International Journal of Environmental Science and Technology

Publication Date: 2024-08-01

Volume: 21

Issue: 12

Page Range: 7999-8012

Description:

Governments internationally strive to balance environmental health and economic development. Modern economies, specifically emerging ones, emphasize the importance of eco-friendly progress, where the pace of economic growth limits the ecological footprint. The ecological footprint denotes both the trajectory of natural resource extraction in the economic process and how quickly these resources can be replenished, as well as the capacity of the ecological sector to absorb waste from this process. This study examines 38 countries from 1994 to 2020 to investigate the drivers of the ecological footprint and found that environmentally related technologies harmfully influence ecological deprivation but are positively affected by gross domestic product growth. Renewable energy diminishes pollution levels, while urbanization has an insignificant effect. Imports were only found to be significant with one econometric technique, and their impact on the ecological footprint was positive. Income level affects the influence of gross domestic product on the ecological footprint. Lower-income quantiles have a more significant impact than higher quantiles. The Granger causality test shows bidirectional causality between the ecological footprint and exogenous factors: eco-technologies, gross domestic product/capita, renewable energy, urbanization, and imports.

Open Access: Yes

DOI: 10.1007/s13762-024-05526-7

EDLRIS: A European Driving License for Robots and Intelligent Systems

Claudiu Pozna Áron Ballagi Imre Szalay Marlene Miglbauer Martin Kandlhofer Ronald Bieber Wilfried Baumann Istvan Alfoldi Manuel Menzinger Sandra Plomer Margit Ehardt-Schmiederer Inge Strobl-Zuchtriegl Gabor Miltenyi Thomas Winkler Julia Lassnig Gerald Steinbauer

Publication Name: Ki Kunstliche Intelligenz

Publication Date: 2021-06-01

Volume: 35

Issue: 2

Page Range: 221-232

Description:

This article presents a novel educational project aiming at the development and implementation of a professional, standardized, internationally accepted system for training and certifying teachers, school students and young people in Artificial Intelligence (AI) and Robotics. In recent years, AI and Robotics have become major topics with a huge impact not only on our everyday life but also on the working environment. Hence, sound knowledge about principles and concepts of AI and Robotics are key skills for this century. Nonetheless, hardly any systematic approaches exist that focus on teaching principles of intelligent systems at K-12 level, addressing students as well as teachers who act as multipliers. In order to meet this challenge, the European Driving License for Robots and Intelligent Systems—EDLRIS was developed. It is based on a number of previously implemented and evaluated projects and comprises teaching curricula and training modules for AI and Robotics, following a competency-based, blended learning approach. Additionally, a certification system proves peoples’ acquired competencies. After developing the training and certification system, the first 32 trainer and trainee courses with a total of 445 participants have been implemented and evaluated. By applying this innovative approach—a standardized and widely recognized training and certification system for AI and Robotics at K-12 level for both high school teachers and students—we envision to foster AI/Robotics literacy on a broad basis.

Open Access: Yes

DOI: 10.1007/s13218-021-00716-8

Parameter identification of a fire truck suspension for vibration analysis

P. Szalai F. Hajdu Rajmund Kuti Péter Mika

Publication Name: Pollack Periodica

Publication Date: 2019-01-01

Volume: 14

Issue: 3

Page Range: 51-62

Description:

In case of field measurement it is essential to determine the measurement conditions. With accurate parameter identification credible measurement and simulation results can be achieved. In this paper the parameter identification of a CSD-755-10 heavy-duty fire truck suspension for vibration analysis is presented, which is an important base-point for further research.

Open Access: Yes

DOI: 10.1556/606.2019.14.3.6

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

European round of manfred lachs space law moot court competition, 29-30 April 2010, Gyor

Mónika Ganczer

Publication Name: Acta Juridica Hungarica

Publication Date: 2010-06-01

Volume: 51

Issue: 2

Page Range: 157-161

Description:

No description provided

Open Access: Yes

DOI: 10.1556/AJur.51.2010.2.6

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