Search in Publications
Found 6374 publications
Authenticity, ethics, and transparency in virtual influencer marketing: A cross-cultural analysis of consumer trust and engagement: A systematic literature review
Publication Name: Acta Psychologica
Publication Date: 2025-10-01
Volume: 260
Issue: Unknown
Page Range: Unknown
Description:
Virtual influencers (VIs) artificial intelligence (AI)-generated personas that mimic human influencers have emerged as a transformative force in digital marketing. This study conducts a systematic literature review (n = 51 articles) to explore the impact of virtual influencers on consumer trust, engagement, and ethical considerations across different cultural and regulatory environments. Key themes examined include the perceived authenticity of virtual influencers and its influence on trust, the ethical dilemmas surrounding transparency and consumer deception, and the effects of disclosure on engagement across various social media platforms. The findings of the study indicate that while virtual influencers have the capacity to enhance brand engagement, concerns regarding authenticity, transparency, and the uncanny valley effect influence consumer perceptions. Ethical considerations, including regulatory compliance and cultural sensitivities, further complicate their integration into marketing strategies. The Virtual Influencer Trust and Engagement Model (VITEM) is a novel framework that elucidates the relationships between authenticity, disclosure transparency, and cultural context. It shows trust to be a key mediating factor, emphasizing cultural differences in consumer responses to virtual influencers. The present study offers insights to a range of professionals, including marketers, researchers, policymakers, psychologists, and consumer wellbeing stakeholders, on the responsible leveraging of virtual influencers in an evolving digital landscape.
Open Access: Yes
The Role of Automated Diagnostics in the Identification of Learning Disabilities: Bayesian Probability Models in the Diagnostic Assessment
Publication Name: Education Sciences
Publication Date: 2025-10-01
Volume: 15
Issue: 10
Page Range: Unknown
Description:
This study investigates the application of Bayesian probability models in the diagnostic assessment of learning disabilities. The objective of this study was to determine whether specific conditions identified in expert reports could predict subsequent diagnoses. The sample consisted of 201 expert reports on children diagnosed with learning disabilities, which were analysed using qualitative content analysis, fuzzy set qualitative comparative analysis (fsQCA), and Bayesian conditional probability models. Variables such as vocabulary, working memory index, processing speed, and visuomotor coordination were examined as potential predictors. The analysis demonstrated that Bayesian networks captured conditional links, such as the strong association between working memory and perceptual inference, as well as an unexpected negative link between vocabulary and verbal comprehension. The study concludes that Bayesian networks provide a transparent and data-driven framework for pre-screening and risk assessment in special education settings. The limitations of this study include the absence of a control group and exclusive reliance on SNI cases. Future research should explore the integration of abductive reasoning into automated diagnostic software to enhance inclusivity and support decision-making.
Open Access: Yes
Toward Social Disclosure Alignment: Evaluating the Interoperability of ISSB S2 with ESRS and GRI Standards
Publication Name: Societies
Publication Date: 2025-10-01
Volume: 15
Issue: 10
Page Range: Unknown
Description:
The evolution of sustainability reporting has led to an increased emphasis on environmental disclosures, often at the expense of social and governance dimensions. While frameworks such as the International Sustainability Standards Board’s (ISSB) IFRS S2 standard offer important advances in climate-related transparency, they insufficiently address the broader social aspects of corporate sustainability performance. In response to this gap, this study investigates the interoperability of social disclosures across three major frameworks: ISSB S2, the European Sustainability Reporting Standards (ESRS), and the Global Reporting Initiative (GRI) standards. Using a structured interoperability index, we systematically map and score the degree of thematic and structural alignment between these standards, focusing specifically on social disclosure topics. The analysis reveals moderate interoperability between ESRS and GRI social disclosures, but far lower alignment between ISSB S2 and either ESRS or GRI, confirming the ongoing underrepresentation of the social pillar within the ISSB framework. Connectivity ratios remain below 6% across all matrices, underscoring persistent fragmentation in global ESG reporting standards. These findings highlight the need for regulatory bodies and standard setters to advance harmonization efforts that equally prioritize environmental, social, and governance dimensions. By foregrounding the interoperability gaps in social disclosures, this study contributes to the academic debate on ESG convergence and informs policy discussions on developing multidimensional, stakeholder-responsive reporting architectures.
Open Access: Yes
DOI: 10.3390/soc15100273
Using Dimensionality Reduction Methods to Explore the Social, Cultural and Geographical Reasons Behind Food Waste in the European Union
Publication Name: Sustainability Switzerland
Publication Date: 2025-10-01
Volume: 17
Issue: 20
Page Range: Unknown
Description:
The paper investigates disparities in food waste generation across European Union countries between 2020 and 2022, focusing on spatial and sustainability dimensions. It utilizes data for six key food waste parameters and a broad range of environmental, social and economic indicators. A combination of statistical methods, including correlation analysis, cluster analysis and Principal Component Analysis, uncovers multivariate patterns and identifies groups of countries with similar food waste characteristics and related factors. The paper highlights the temporal and spatial dynamics of food waste over the three-year period, particularly in light of the COVID-19 pandemic. While the total volume of food waste remained relatively stable across the EU, notable shifts occurred in waste sources. Household food waste peaked in 2021, likely due to increased time spent at home during pandemic-related lockdowns. Conversely, waste from retail, restaurants and food service sectors showed a consistent increase. The paper identifies non-trivial correlations between food waste and socio-economic variables, suggesting that differences in food waste generation across EU countries are influenced by a complex interplay of factors, including policy effectiveness, cultural practices, consumer behaviour and economic conditions. This comprehensive analysis of food waste patterns across EU countries and over time offers valuable insights for policymakers aiming to reduce waste and promote sustainability.
Open Access: Yes
DOI: 10.3390/su17209315
Destination marketing organization website features: cross-continental comparative analysis
Publication Name: Journal of Qualitative Research in Tourism
Publication Date: 2025-10-01
Volume: 6
Issue: 1-2
Page Range: 116-126
Description:
Destination marketing organization (DMO) websites play a crucial role in influencing destination choice as more tourists in the digital age rely on the internet for travel-related information. This research note compares the functionality of DMO websites across three continents: Africa, Latin America, and Europe focusing on three countries (Morocco, Brazil, and Portugal). Based on an extensive framework developed by Li and Wang, this study carefully classifies and assesses website features using six dimensions (information, communication, transaction, relationship, technical merit, and brand gestalt cognition). The results offer destination marketing managers significant insights that aid in gap analysis and the improvement of website functionalities. In addition, the results of the research are applicable for evaluating website effectiveness and for deriving conclusions concern-ing management and business strategies. This research is also important for destinations as it provides practical opportunities for improving DMO websites, enhancing user engage-ment, and shaping destination choices in modern times.
Open Access: Yes
YOLO-Based Object and Keypoint Detection for Autonomous Traffic Cone Placement and Retrieval for Industrial Robots
Publication Name: Applied Sciences Switzerland
Publication Date: 2025-10-01
Volume: 15
Issue: 19
Page Range: Unknown
Description:
The accurate and efficient placement of traffic cones is a critical safety and logistical requirement in diverse industrial environments. This study introduces a novel dataset specifically designed for the near-overhead detection of traffic cones, containing both bounding box annotations and apex keypoints. Leveraging this dataset, we systematically evaluated whether classical object detection methods or keypoint-based detection methods are more effective for the task of cone apex localization. Several state-of-the-art YOLO-based architectures (YOLOv8, YOLOv11, YOLOv12) were trained and tested under identical conditions. The comparative experiments showed that both approaches can achieve high accuracy, but they differ in their trade-offs between robustness, computational cost, and suitability for real-time embedded deployment. These findings highlight the importance of dataset design for specialized viewpoints and confirm that lightweight YOLO models are particularly well-suited for resource-constrained robotic platforms. The key contributions of this work are the introduction of a new annotated dataset for overhead cone detection and a systematic comparison of object detection and keypoint detection paradigms for apex localization in real-world robotic applications.
Open Access: Yes
DOI: 10.3390/app151910845
Sustainable Water and Energy Management Through a Solar-Hydrodynamic System in a Lake Velence Settlement, Hungary
Publication Name: Infrastructures
Publication Date: 2025-10-01
Volume: 10
Issue: 10
Page Range: Unknown
Description:
The Lake Velence watershed faces increasing challenges driven by local and global factors, including the impacts of climate change, energy resource limitations, and greenhouse gas emissions. These issues, particularly acute in water management, are exacerbated by prolonged droughts, growing population pressures, and shifting land use patterns. Such dynamics strain the region’s scarce water resources, negatively affecting the environment, tourism, recreation, agriculture, and economic prospects. Nadap, a hilly settlement within the watershed, experiences frequent flooding and poor water retention, yet it also boasts the highest solar panel capacity per property in Hungary. This research addresses these interconnected challenges by designing a solar-hydrodynamic network comprising four multi-purpose water reservoirs. By leveraging the settlement’s solar capacity and geographical features, the reservoirs provide numerous benefits to local stakeholders and extend their impact far beyond their borders. These include stormwater management with flash flood mitigation, seasonal green energy storage, water security for agriculture and irrigation, wildlife conservation, recreational opportunities, carbon-smart winery developments, and the creation of sustainable blue-green settlements. Reservoir locations and dimensions were determined by analyzing geographical characteristics, stormwater volume, energy demand, solar panel performance, and rainfall data. The hydrodynamic system, modeled in Matlab, was optimized to ensure efficient water usage for irrigation, animal hydration, and other needs while minimizing evaporation losses and carbon emissions. This research presents a design framework for low-carbon and cost-effective solutions that address water management and energy storage, promoting environmental, social, and economic sustainability. The multi-purpose use of retained rainwater solves various existing problems/challenges, strengthens a community’s self-sustainability, and fosters regional growth. This integrated approach can serve as a model for other municipalities and for developing cost-effective inter-settlement and cross-catchment solutions, with a short payback period, facing similar challenges.
Open Access: Yes
Comprehensive Efficiency Analysis of Ethanol–Gasoline Blends in Spark Ignition Engines
Publication Name: Eng
Publication Date: 2025-10-01
Volume: 6
Issue: 10
Page Range: Unknown
Description:
This paper investigates the effects of using 10% v/v (E10) and 30% v/v (E30) ethanol–gasoline blends on spark ignition (SI) engine fuel consumption, brake-specific fuel consumption, brake thermal efficiency, combustion parameters and exhaust gas temperature. The 30% v/v ethanol–gasoline blend was designed not to exceed the octane number (RON and MON) of the regular commercially available reference fuel (E10); therefore, the knock resistance of the reference and research fuel does not differ significantly. The tests were conducted on an AVL internal combustion engine test cell using a four-stroke, four-cylinder, turbocharged SI engine with direct injection and a compression ratio of 12.2:1. The engine was manufactured in 2022, and it is the latest commercially available version currently in production. Engine tests were conducted under stoichiometric conditions (when possible) at loads ranging from 2–20 bar brake mean effective pressure and engine speeds ranging from 1000–6000 rpm, and the fuel consumption, brake-specific fuel consumption, combustion parameters, exhaust gas temperature and brake thermal efficiency were measured using the two different ethanol–gasoline blends. Test results showed that the higher concentration ethanol–gasoline blend—due to its lower density, lower heating value and higher latent heat of vaporization—had increased fuel consumption, brake-specific fuel consumption and decreased brake thermal efficiency, while exhaust gas temperature also decreased (at 2500 rpm 12 bar BMEP, the differences were 11%, 6.6%, −0.78% and −3.7%, respectively). Peak combustion pressures were identical under the same operating conditions, but the peak combustion temperature of E30 was on average 3% lower.
Open Access: Yes
DOI: 10.3390/eng6100256
Tracking the shift from health to harm: Development and validation of a short screening tool for orthorexia nervosa (STONE)
Publication Name: Appetite
Publication Date: 2025-10-01
Volume: 214
Issue: Unknown
Page Range: Unknown
Description:
Orthorexia Nervosa (ON), a problematic fixation on healthy eating, has captured researchers' attention for over a decade. We aimed to develop a brief screening tool for ON that captures physical appearance as a motivating factor, behavioural aspects (rigid control over food selection, consumption and preparation), and nutritional aspects (avoidance of foods considered “impure”). Using a sequential, iterative design, 687 participants completed a self-reported survey across four studies: item identification and selection through exploratory factor analysis (n = 248), testing factorial construct validity with confirmatory factor analysis (n = 127), discriminant validity via known group differences (n = 241), and test-retest reliability of two subsequent administrations of the selected items (n = 71). The final unidimensional version of the short Screening Tool for Orthorexia Nervosa (STONE) comprises eight items. It demonstrated excellent known-group validity and ability to differentiate ON from other types of strict dietary control (e.g., health-based or religious restrictions). Consistent with the view of ON as behaviours aimed at rigid dietary control, avoidance of “impure” foods, and motivation to enhance physical appearance, STONE scores positively related to measures of eating pathology and appearance orientation, while only weakly correlating with obsessive-compulsive tendencies. Based on its psychometric properties, STONE is recommended as a first-level screening tool for ON in research contexts and epidemiology studies among adults. Due to its brevity, it can be easily combined with other scales to explore ON or related phenomena. Future studies should examine convergent validity and test it among adolescents and in different cultural contexts.
Open Access: Yes
