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Found 6342 publications

A SURVEY OF WOODY PLANTS CHOSEN FOR THE ESTABLISHMENT OF FRONT GARDENS IN VILLAGES SUBURBANIZED TO VARYING DEGREES AROUND KECSKEMÉT, HUNGARY

Tamás Hardi Jenő Zsolt Farkas Péter Csontos Júlia Tamás Edit Hoyk

Publication Name: Journal of Landscape Ecology

Publication Date: 2022-01-01

Volume: 20

Issue: 2

Page Range: 95-113

Description:

We examined the number of species and individuals of woody vegetation in a total of 150 front gardens in settlements located at three different distances from Kecskemét and affected by suburbanization to different degrees. Most often, one species or two individuals occurred in front gardens, but there were also front gardens with 8 or more species and 14 or more individuals in some cases. The total of 668 recorded individuals belonged to 111 species, among which the first five places were occupied by Biota orientalis, Hibiscus syriacus, Thuja occidentalis, Catalpa bignonioides and Cerasus vulgaris. The combined number of individuals of the five species accounted for 26% of all woody plant individuals observed. The data were evaluated according to several groupings: tree, shrub, hedge or liana; native, archaeophyte or neophyte; fruit tree vs. ornamental tree; deciduous vs. evergreen; and the effect of the electric power transmission lines above the front gardens was also examined. Our results highlight the plant selection habits of the residents, which can be taken into account for the development of appropriate town planning and landscape planning concepts.

Open Access: Yes

DOI: 10.56617/tl.3445

Case Report: From disordered eating to an eating disorder—a case study of an orienteering athlete with anorexia nervosa and the shortcomings of the multidisciplinary approach

Réka Erika Kovács Szilvia Boros

Publication Name: Frontiers in Psychology

Publication Date: 2025-01-01

Volume: 16

Issue: Unknown

Page Range: Unknown

Description:

This case study explores the transition from disordered eating (DE) to an eating disorder (ED) in a 23-year-old female orienteer. Despite her talent as an athlete, her eating habits and training practices led to significant health concerns. After following an ovo-lacto vegetarian diet for 3 years, she exhibited symptoms of DE, including low energy intake (1,200 kcal/day), low body weight (50.1 kg, BMI: 16.9), and amenorrhea. Her condition deteriorated over 2 years, resulting in a diagnosis of anorexia nervosa (AN) by February 2023. During the treatment process, the athlete utilized a multidisciplinary approach that included dietitians, psychologists, and physicians. Despite achieving some initial progress, including a slight increase in body weight and the return of menstruation in July 2022, her health declined after psychological consultations were halted, leading to a further decrease in body fat and persistent low serum iron levels. This case highlights the importance of continuous monitoring, timely intervention, and a coordinated multidisciplinary team in addressing DE and ED in athletes. It also highlights the significance of effective communication among healthcare professionals and the need for comprehensive treatment strategies that include psychological, nutritional, and medical support. This study highlights the significance of early detection, suitable intervention, and the prevention of long-term health complications, such as decreased bone density and cardiovascular issues, in athletes with DE and ED.

Open Access: Yes

DOI: 10.3389/fpsyg.2025.1537844

Examining the CSR Practice of Family-Friendly Workplaces in the Light of Sustainability

Márta Nárai Anna Pátkai Bende

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 67-72

Description:

This paper examines corporate social responsibility (CSR) practices of organizations with „Family-Friendly Workplace” trademark certificate in Hungary. The aim of this paper is to reveal the role of family-friendly workplaces in contributing to sustainability based on the results of a questionnaire survey. The study emphasizes the essentiality of family-friendly workplaces for sustainability, as they create an environment for their employees that supports their work-life balance and thus it contributes to improving their quality of life and to creating a more livable and sustainable society. Moreover, this research highlights that these workplaces also stand out with regard to other CSR activities. 68.7 % of family-friendly organizations consciously define the priorities of their CSR activities, with around 40 % having a CSR strategy and 35.3 % having a sustainability strategy in which their commitment in the areas of CSR and sustainability is recorded. These priorities are fair business, participation in local community life, environmental protection and sustainability, equal opportunities, and responsible employment. More than 60 % of the examined workplaces support civil, non-profit organizations and local community initiatives, and more than half of them implemented various CSR-related programs in the last three years, including fundraisers, educational and work training, actions in the field of environmental protection as well as community and health promotion programs. This study concludes that with their implemented activities, family-friendly organizations in Hungary make a significant contribution to sustainability.

Open Access: Yes

DOI: 10.3303/CET23107012

Modelling OCB and CWB by combined Fuzzy Signature model

Dalia Susniene Daiva Žostautienė Ojaras Purvinis Ĺaszĺo T. Ḱoczy

Publication Name: Economic Research Ekonomska Istrazivanja

Publication Date: 2021-01-01

Volume: 34

Issue: 1

Page Range: 1546-1565

Description:

Globalization and its challenges for organizations led to the understanding that employees can be a critical factor contributing to the organization’s performance. Therefore, various studies sought to understand employee’s behaviour that in itself encompasses various forms of engagement. One of the constructs defining engagement is citizenship behaviour (OCB) and counterproductive work behaviour (CWB). Based on previous researches, the study aims to contribute to the knowledge on the correlation between OCB and CWB considered as a behavioural engagement, from one side, and interplay of these constructs with the related constructs such as a trait engagement, perception of organization, state engagement, from another side. Since the empirical studies typically tend to concentrate on one or several factors separately, it is difficult to get a better understanding of relationship of all forms of engagement in corpore. To address this gap, we create a complex model of investigation developed to describe the linkage of the factors - OCB, CWB and related constructs under one umbrella and, by employing a combined statistical and Fuzzy Signature (FSig) model, we investigated the link with behavioural engagement. The present study covered one region of the northern part of Lithuania. It is based on 144 completed questionnaires from 35 companies. Findings support the assumption of the relationships of behavioural engagement (i.e. OCB and CWB) and the remaining multifaceted factors, and make a step forward by offering a new model for investigation the multifaceted phenomenon of employee engagement.

Open Access: Yes

DOI: 10.1080/1331677X.2020.1844581

Hungarian experiences of the transition from traditional work to telework1

Laszlo Vasa P. Karácsony Yuriy Bilan Katalin Lipták

Publication Name: Transformations in Business and Economics

Publication Date: 2021-01-01

Volume: 20

Issue: 3

Page Range: 168-182

Description:

The global outbreak of the COVID-19 epidemic has radically transformed people’s daily lives since the spring of 2020. In addition to the direct health consequences of the virus, the epidemic has had a significant impact on the functioning of society, people’s lifestyles and has also had a fundamental impact on the world of work. The year 2020 marked a breakthrough in the spread of telework and “home office” work in Hungary, as this form of work was one of the necessary tools in the fight against the COVID-19 epidemic in order to reduce the number of personal contacts. Both employers and the masses of employees were able to experience the pros and cons of this. This period can be therefore considered as the main challenge of teleworking and working from home, which is undoubtedly caused by the COVID-19 epidemic. The research aims to answer the question of the impact of telework on the daily lives of Hungarian workers. In international comparison, the proportion of teleworkers in Hungary was low before the pandemic. As a result, a great many have experienced a drastic transition from traditional work to teleworking. The given questionnaire survey also confirmed that a significant proportion of employees had difficulties with teleworking at the beginning of the transition. These difficulties were mainly due to the fact that they were not technically prepared and that their daily routine, which they had become accustomed to in their traditional work, had been changed.

Open Access: Yes

DOI: DOI not available

Model Reduction Methods

Miklós F. Hatwágner

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 45-69

Description:

Fuzzy Cognitive Maps are very useful tools primarily in decision making and management tasks. They represent the main factors, variables of a complex system and the internal causal relationships among them in a straightforward way. Simulations can be started with an initial state, and the future states of the system under investigation can be predicted. This way, what-if questions can be answered. If the model of a system is created by experts they are often tempted to include too many components, because they are not sure in the importance of them. An oversized model is excruciating to use in practice, however. Model reduction methods help to decrease model size but unavoidably cause information loss as well. This effect does not cause a problem in practical decision making applications if the model suggests the same decisions. This chapter covers three FCM model reduction methods, their theoretical background and behavioral properties.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_5

Unveiling Marketing Competencies for MBA Graduates Through Text Mining and Machine Learning Applications

Md Billal Hossain Mohanamani Palanisamy Latha Arumugham Maria Tresita Paul Vincent

Publication Name: Applied AI Letters

Publication Date: 2026-06-01

Volume: 7

Issue: 2

Page Range: Unknown

Description:

In today's dynamic business environment, marketing professionals are expected to demonstrate a balanced mix of conceptual knowledge, technical skills, and behavioral competencies while addressing their customers. This study analyses 2000 job postings from job web portal, collected between April and June 2023, to identify the competencies most demanded from master's in business administration (MBA) graduates specializing in marketing. Using a text mining approach, including systematic preprocessing, bigram extraction, and term frequency-inverse document frequency (TF-IDF) based term weighting, the extracted competencies were categorized into knowledge, skill, and behavioral based competencies. Findings of the study reveal strong emphasis by employers on marketing research, marketing management, and sales management as core knowledge-based competencies required. While selling ability, client relationship management, and digital marketing have evolved as key skill-based competencies. Time management, teamwork, and leadership evolved as critical behavioral attributes needed for an MBA graduate specializing in the marketing domain. These insights highlight the need for management curricula to integrate conceptual learning with practical skill development and structured behavioral guidance. The results also provide accreditation bodies with evidence-based competency trends for strengthening outcome-based frameworks and guiding industry partners in aligning recruitment, training, and academic collaboration efforts. By offering data driven competencies grounded in real job market demand, the study supports the development of more industry ready MBA marketing graduates.

Open Access: Yes

DOI: 10.1002/ail2.70020

Regulation, Taxation, and Resources: Unpacking Greenhouse Gas Emission Drivers Across G7 Economies

Mohammad Imtiaz Hossain Mohammad Fakhrul Islam Md Emon Ahmed Mohammad Abdullah Al Mamun Md Karimul Alam Md Tarique Kazi

Publication Name: Thunderbird International Business Review

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Advanced economies are under growing pressure to downscale greenhouse gas (GHG) emissions without undermining growth, yet G7 (Group of Seven) nations, representing almost 10% of the world's population, still generate one quarter of global GHGs. We have investigated the G7's GHG emission problem from 2000 to 2020, by integrating macroeconomic and environmental panel data to determine how stricter environmental policies, higher green tax revenue, resource dependency, trade openness, and globalization can reduce the G7's emission problem. We applied second-generation panel estimators alongside a state-of-the-art quantile-based robust model, called the method of moment quantile regression (MMQR), and employed a two-step generalized method of moments (GMM) to address the endogeneity concern. In doing so, we found the following three findings. First, tougher regulations and higher environmental tax yields are consistently associated with reducing the GHG emissions, with the effect intensifying in all regimes. Second, resource dependence remains a stubborn emission amplifier across the entire distribution. Third, the role of trade and globalization is minimal, sometimes insignificant, referring to the fact that the policy and structural factors dominate trade and integration effects. Policy pathways for the G7 thus focus on (i) synchronizing environmental policy stringency targets to strict carbon-pricing floors, (ii) recycling environmental tax revenue and implementing green globalization with cross-border trade to accelerate clean-tech diffusion, and (iii) deploying resource diversification to neutralize resource rent-driven lock-ins. Our policy mix can help wealthy, integrated economies translate fiscal and regulatory leverage into a rapid and equitable solution to reduce GHG emissions.

Open Access: Yes

DOI: 10.1002/tie.70095

AI-Enabled Circular Business Model Transition for Mitigating Climate Change: A Natural Resource-Based View Perspective on Business Strategies

Muhammad Mustafa Kamal Sanjay Chaudhary Jian Wang Sándor Remsei Salwa Saleh Almasabi

Publication Name: Business Strategy and the Environment

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The role of artificial intelligence (AI) in achieving sustainability goals has garnered attention in academic literature. While AI has been argued to be crucial in addressing circularity challenges, organizations face challenges in configuring a business model. Designing new business calls for insights on how AI can be integrated into value creation and capture mechanisms. There is a lack of clarity on how organizations deploy AI as they transition to circular business model innovation. The purpose of the study is to explore how AI is integrated into organizational processes while adopting circular business models. We conducted online open-ended interviews with 55 participants to explore the potential role of AI in enabling the adoption of circular business models. Our findings have implications for theory building relating to AI business model innovation and provide a novel avenue for further research on business model innovation literature. Building on a natural resource-based view, the findings indicate that while implementing a circular business model is challenging, AI enables organizations to create, transfer, and capture value through resource efficiency and the reuse of resources. As AI technologies continue to evolve, organizations must develop adaptive capabilities to continually explore opportunities. AI enables organizations to reduce costs, develop novel value-creation strategies, and capture opportunities, resulting in improved efficiency. Transitioning to a circular business model requires developing routines, and organizations must adapt existing systems to ensure these systems result in pollution prevention, product stewardship, and sustainable development. It is important for managers to develop organizational resources and capabilities that enable the development of AI capabilities.

Open Access: Yes

DOI: 10.1002/bse.70649