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Found 6383 publications
Household Food Waste Reduction Determinants in Hungary: Towards Understanding Responsibility, Awareness, Norms, and Barriers
Publication Name: Foods
Publication Date: 2025-03-01
Volume: 14
Issue: 5
Page Range: Unknown
Description:
Food waste poses a substantial global challenge, with intricate environmental, economic, and ethical ramifications. This study examines household food waste behaviors, emphasizing the interplay of personal responsibility, awareness of consequences, personal norms, and systemic barriers. Employing a thematic analysis of in-depth interviews with 60 households across Hungary’s Central and Western Transdanubian regions, this research explores factors influencing waste-reduction strategies across the pre-, mid-, and post-consumption phases. The thematic analysis of the interview data yielded key themes, including ascription of responsibility (AR), awareness of consequences (AC), personal norms (PN), demographic characteristics (DC), behavioral intentions (FWBI), and barriers (B). Participants identified barriers to waste reduction, such as impulse buying, poor storage practices, and limited knowledge of food rescue initiatives. Incorporating these barriers as a core variable deepens the understanding of systemic challenges, while stage-specific analysis illuminates the evolution of waste-reduction behaviors. These insights will inform targeted interventions, such as community programs, educational campaigns, and technology-driven solutions, including food rescue apps, to foster sustainable consumption. This study’s integration of behavioral theories with actionable strategies provides valuable guidance for policymakers and stakeholders seeking to reduce household food waste on a global scale.
Open Access: Yes
Assessing the Sustainability of Electric and Hybrid Buses: A Life Cycle Assessment Approach to Energy Consumption in Usage
Publication Name: Energies
Publication Date: 2025-03-01
Volume: 18
Issue: 6
Page Range: Unknown
Description:
The global adoption of battery electric vehicles (EVs) and hybrid electric vehicles (HEVs) as a substitute for internal combustion engine cars (ICEs) in various nations offers a substantial opportunity to reduce carbon dioxide (CO2 ) emissions from land transportation. EVs are fitted with an energy conversion system that efficiently converts stored energy into propulsion, referred to as “tank-to-wheel (TTW) conversion”. Battery-electric vehicles have a significant advantage in that their exhaust system does not produce any pollutants. This hypothesis is equally relevant to public transport. Despite their higher upfront cost, electric buses contribute significantly to environmental sustainability during their operation. This study aimed to evaluate the environmental sustainability of electric buses during their operational phase by utilizing the life cycle assessment (LCA) technique. This paper used the MATLAB R2021b code to ascertain the mean load of the buses during their operation. The energy consumption of battery electric and hybrid electric buses was evaluated using the WLTP Class 2 standard, which refers to vehicles with a power-to-mass ratio between 22 and 34 W/kg, overing four speed phases (low, medium, high, extra high) with speeds up to 131.3 km/h. The code was used to calculate the energy consumption levels for the complete test cycle. The code adopts an idealized rectangular blind box model, disregarding the intricate design of contemporary buses to streamline the computational procedure. Simulating realistic test periods of 1800 s resulted in an average consumption of 1.451 kWh per km for electric buses and an average of 25.3 L per 100 km for hybrid buses. Finally, through an examination of the structure of the Hungarian power system utilization, it was demonstrated that electrification is a more appropriate method for achieving the emission reduction goals during the utilization phase.
Open Access: Yes
DOI: 10.3390/en18061545
Effects of Tourists' Perceived Crowding on Tourist Loyalty Based on Overcrowded Tourist Attraction in Bangladesh: The Mediating Role of Destination Attractiveness
Publication Name: International Journal of Tourism Research
Publication Date: 2025-03-01
Volume: 27
Issue: 2
Page Range: Unknown
Description:
For the study, the researchers proposed a multidimensional way to measure tourist-perceived crowding (TPC) and an integrated approach to tourist loyalty from a customer perspective based on the stimulus organism response model. A structural equation modeling was applied to examine the relationship among variables using the data collected from Bangladesh's crowded and popular tourist attractions. The study found that neutral crowding has significant negative effects and personal crowding has significant positive effects on destination attractiveness, but social crowding has no relationship with destination attractiveness. Moreover, social crowding directly affects tourist loyalty, but neutral and personal crowding indirectly affect tourist loyalty by mediating destination attractiveness. This study suggested a new result: TPC has both negative and positive impacts on destination attractiveness in overcrowded destinations. From the management perspective, the study suggested interesting insights for crowding and destination management, which ultimately affect tourist loyalty.
Open Access: Yes
DOI: 10.1002/jtr.2764
Cognitive-Biased Decision on Courier Express Parcel Market and the Effect of Narratives
Publication Name: Logistics
Publication Date: 2025-03-01
Volume: 9
Issue: 1
Page Range: Unknown
Description:
Background: Extensive research highlights the economic benefits of collaboration among parcel delivery service providers, yet mutually advantageous cooperative arrangements remain limited in Hungary’s online shopping sector. Service providers typically prefer to operate independently rather than cooperate with competitors. However, the COVID-19 pandemic significantly altered industry dynamics, leading to increased collaboration. Methods: Against this backdrop, this study explores two key research questions. First, it examines the role of economic narratives in shaping market dynamics. Second, it investigates the cognitive biases influencing decision-makers during the pandemic, based on an analysis of Hungary’s parcel delivery sector. Semi-structured interviews were conducted with key actors in the logistics industry, and the data were analyzed using abductive thematic analysis. Results: The findings reveal that specific economic narratives, such as those emphasizing efficiency and safety, indirectly influenced market mechanisms during the COVID-19 pandemic. Notably, the shift in consumer demand towards contactless parcel lockers created new incentives for collaboration. Additionally, this study demonstrates that decision-makers exhibited cognitive biases such as risk aversion, which affected their willingness to cooperate. Conclusions: The research concludes that strong economic incentives can override these biases, fostering collaboration among service providers.
Open Access: Yes
Comparative Study on Antioxidant Capacity of Diverse Food Matrices: Applicability, Suitability and Inter-Correlation of Multiple Assays to Assess Polyphenol and Antioxidant Status
Publication Name: Antioxidants
Publication Date: 2025-03-01
Volume: 14
Issue: 3
Page Range: Unknown
Description:
Antioxidants play a crucial role in mitigating oxidative stress and preventing cellular damage caused by free radicals. This study aimed to compare the effectiveness of three antioxidant assays—DPPH, TEAC, and FRAP—in quantifying the antioxidant capacity of 15 plant-based spices, herbs, and food materials from five distinct plant families. The relationship between these assays and total polyphenol content (TPC) as well as total flavonoid content (TFC) was also investigated. The results showed that FRAP exhibited the strongest correlation with TPC (r = 0.913), followed by TEAC (r = 0.856) and DPPH (r = 0.772). Lamiaceae species, such as rosemary and thyme, consistently demonstrated high antioxidant activities across all assays. The study highlights the complementary nature of these assays in assessing antioxidant capacity and underscores their utility in profiling polyphenol- and flavonoid-rich plants for potential nutritional and therapeutic applications.
Open Access: Yes
THE NEED FOR A UNIVERSAL COPYRIGHT REGULATION AND AN INTERNATIONAL AUTHOR’ COOPERATION FROM THE PERSPECTIVE OF THE HUNGARIAN PLAYWRIGHTS’ ASSOCIATION
Publication Name: Cogito
Publication Date: 2025-03-01
Volume: 17
Issue: 1
Page Range: 138-152
Description:
The present study aims to examine the cooperation related to the development of international copyright law from the perspective of the Magyar Színpadi Szerzők Egyesülete (MSSE, Hungarian Playwrights’ Association). The association, founded in 1904, played an outstanding role in dealing with the shortcomings of Hungarian copyright law and the protection of the moral and financial interests of Hungarian playwrights/stage authors. Thus, the purpose of this paper is to present the Association’s contribution to various milestones of the international copyright field, such as the Berne Convention for the Protection of Literary and Artistic Works and the founding of the International Confederation of Societies of Authors and Composers (CISAC). The annual conferences of the world organization, especially the 1930 Budapest International Congress of Authors, an important event of Hungarian cultural diplomacy, shall also be presented in the study. Further aims of the study include shedding light on how national and international copyright cooperation developed in the first half of the 20th century.
Open Access: Yes
DOI: DOI not available
Energy Efficiency and Decarbonization Resulting from the Transition to Virtual Space
Publication Name: Energies
Publication Date: 2025-03-01
Volume: 18
Issue: 5
Page Range: Unknown
Description:
It is a serious challenge for humanity to find an appropriate response to stop the accelerating rise in global temperature caused by atmospheric carbon dioxide emissions. After a methodological review of the literature, online and in-person modelling of education, work, and conferences, and relying on the results of life-cycle studies, we sought the answer to what reasonable solutions are available for decarbonization and energy reduction. During the research, the organizational carbon footprint of a selected office, educational institution and conference, and then the carbon footprint created by a person in 1 h, were examined. The two-day online education significantly reduced the daily commute load in transport by 402 tons of CO2 equivalent per year. Still, the energy demand of home learning subtracts 136 tons from this, so the real benefit was 266 tons above in an institution educating nearly 3500 students. In a workplace of 180 people, where 52% of employees commute, 90% teleworking saved 222 tons of carbon dioxide emissions in one month, taking into account the carbon footprint of working from home. In the case of conferences, the online solution reduces the carbon footprint due to the absence of travel and catering. Comparing the three areas, for the in-person case, the conference’s carbon footprint per person per hour was the highest (11.91 kg CO2 eq.). This value for education was 1.15 kg CO2 eq.; for work, it was the lowest with a value of 0.90 kg CO2 eq. Moving to an online space resulted in the most significant savings for the conference (11.55 kg CO2 eq.), followed by working (0.54 kg CO2 eq.), and minor savings were achieved in hybrid education (0.13 kg CO2 eq.). The sensitivity analysis highlighted the impact of transport on carbon footprint in all three cases. However, the life cycle cost analysis showed that moving to a virtual space reduces the life cycle cost of de-carbonization by 42%.
Open Access: Yes
DOI: 10.3390/en18051206
Team efficacy and communication satisfaction as a driver of commitment among university entrepreneurship programme participants
Publication Name: Journal of Open Innovation Technology Market and Complexity
Publication Date: 2025-03-01
Volume: 11
Issue: 1
Page Range: Unknown
Description:
This research explores how perceived team efficacy and communication satisfaction within student teams influence team members’ commitment and willingness to continue in the context of university entrepreneurship programs. The results suggest that team communication and efficacy are influential from a commitment perspective. The research is based on the results of a quantitative survey among participating HSUP (Hungarian Startup University Program) students—a program available at all major Hungarian universities. The applied SEM modeling method provided an adequate instrument to understand better the impact of perceived team attributes on value and exchange-based commitment and identify some of these variables’ determinants. This research provides empirical evidence that the commitment of nascent student entrepreneurs, framed through project and profession focus, should incorporate a team perspective. The paper also formulates further research directions and implications for the design of university entrepreneurship programs. In addition to professional competencies (e.g., market research methods, business model building, MVP creation), the mentoring process should strengthen effective communication, team efficacy, and spirit within the entrepreneurial group. These elements significantly affect the commitment of group members, which in turn influences their willingness to continue on an individual level.
Open Access: Yes
A highly accurate Mamdani fuzzy inference system for tennis match predictions
Publication Name: Fuzzy Optimization and Decision Making
Publication Date: 2025-03-01
Volume: 24
Issue: 1
Page Range: 99-127
Description:
This paper presents a Mamdani fuzzy inference system (FIS) designed for predicting tennis match outcomes with greater accuracy compared to existing models such as the Weighted Elo (WElo) ranking system. By integrating factors like historical performance, surface-specific proficiency, and recent form trends, the Mamdani FIS provides a nuanced approach to forecasting match results. Central to this method is the optimization of membership functions using a Bacterial Evolutionary Algorithm (BEA), which fine-tunes parameters to better model uncertainties inherent in sports analytics. This is the further development of Nawa and Furuhashi’s original approach of fuzzy system parameter discovery, which operates on the stricter conditions concerning the membership function shapes. The study demonstrates that the Mamdani FIS outperforms the traditional methods in both predictive accuracy and profitability of betting strategies. Through extensive validation, the model achieves higher accuracy and lower log loss metrics, indicating improved reliability in prediction outcomes. Additionally, the Mamdani FIS consistently yields higher returns on investment across various betting scenarios, showcasing its practical utility in sports betting applications. Overall, the proposed Mamdani FIS represents a robust tool for tennis match prediction, with potential extensions to other sports and predictive contexts. Future research may explore incorporating additional variables and applying this fuzzy inference approach to broader areas of sports analytics.
Open Access: Yes
