Electromobility is one form of transport that is suitable for achieving the goals of carbon neutrality. Therefore, if stakeholders want to be informed, the aim of the article is to examine trends in the field of electromobility. Trends are explored using a systematic literature review. The selected areas are specific factors affecting electromobility, which are market characteristics and value-added services. A specific area of inquiry is important for the reason that if businesses providing or dealing with electromobility are successful in the market, it is necessary to analyse their market position or characteristics of the market in which they operate. If it is clear which laws apply in the market, the company can adapt its offer to the trends that affect the given business segment. The same applies to policy makers, new knowledge can be applied in policy making. Data, about the market and services that are offered on the market, provide knowledge to stakeholders that focus their activities on electromobility. Furthermore, this article provides not only information about the current state of affairs, but also further directions research should take to map electromobility from point of view of market characteristics and value-added services.

This study examines the ethical problems of using artificial intelligence (AI) applications in higher education, focusing on activities performed by university educators. Drawing on Slovak legislation that defines educators’ responsibilities, the study classifies their activities into three categories: teaching, scientific research, and other (academic management and self-directed professional development). From standpoint of methodology, a thematic review of 42 open-access, peer-reviewed articles published between 2022 and 2025 was conducted across the Web of Science and Scopus databases. Relevant AI applications and their associated ethical issues were identified and thematically categorized. Results of this study show that AI applications are extensively used across all analysed areas of university educators’ activities. Most notably used are applications that are generative language models, editing and paraphrasing tools, learning and assessment software, management and search tools, visualizing and design tools, and analysis and management systems. Their adoption raises ethical concerns which can be thematically grouped into six categories: privacy and data protection, bias and fairness, transparency and accountability, autonomy and oversight, governance gaps, and integrity and plagiarism. The results provide universities with a structured analytical framework to assess and address ethical risks related to AI use in specific academic activities. Although the study is limited to open-access literature, it offers a conceptual foundation for future empirical research and the development of ethical, institutionally grounded AI policies in higher education.

This article explores the significance of Bitcoin halving events within the cryptocurrency ecosystem and their impact on market dynamics. While the existing literature addresses the periods before and after Bitcoin halving, as well as financial bubbles, there is an absence of forecasting regarding Bitcoin price in the time after halving. To address this gap and provide predictions of Bitcoin price development, we conducted a rigorous analysis of past halving events in 2012, 2016, and 2020, focusing on Bitcoin price behaviour before and after each occurrence. What interests us is not only the change in the price level of Bitcoins (top and bottom), but also when this turn occurs. Through synthesizing data and trends from previous events, this article aims to uncover patterns and insights that illuminate the impact of Bitcoin halving on market dynamics and sustainability, movement of the price level, the peaks reached, and price troughs. Our approach involved employing methods such as RSI, MACD, and regression analysis. We looked for the relationship between the price of Bitcoin (top and bottom) and the number of days after the halving. We have uncovered a mathematical model, according to which the next peak will be reached 19 months (in November 2025) and the trough 31 months after Bitcoin halving 2024 (in November 2026). Looking towards the future, this study estimates predictions and expectations for the upcoming Bitcoin halving. These discoveries significantly enhance our understanding of Bitcoin’s trajectory and its implications for the finance cryptocurrency market. By offering novel insights into cryptocurrency market dynamics, this study contributes to advancing knowledge in the field and provides valuable information for cryptocurrency markets, investors, and stakeholders.

This study aims to investigate the impact of outdoor advertising on consumer behaviour by using eye-tracking analysis while drivers travel specific routes in Žilina, Slovakia. This research combines questionnaire inquiry and A/B testing to assess the conscious and subconscious effects of outdoor advertising on consumer decisions. The findings of this study have important implications for businesses providing outdoor advertising spaces, as well as those using outdoor advertising as a form of advertisement. Additionally, the study provides insights into the role of transportation background and how it influences consumer behaviour in relation to outdoor advertising.

The global shift toward digital transformation presents both opportunities and challenges for national economies, particularly in terms of workforce readiness. While many studies assess digital readiness via infrastructure or technological adoption, fewer investigate the preparedness of countries’ future labor forces. This article addresses this research gap by examining how quality of education relates to job automation risk across OECD countries. The goal is to identify which nations are least prepared for digital disruption due to weak educational foundations and high automation exposure. Using data on education expenditure, PISA scores, and the Education Index, compared to the percentage of jobs at high risk of automation, this study applies correlational analysis and a quadrant overview to assess national readiness. Findings show that countries such as Slovakia, Poland, and Greece are least prepared, combining low investment in education and high exposure to automation. Conversely, nations like Finland, Norway, Sweden, and New Zealand exhibit strong readiness, characterized by robust education systems and lower automation risks. This study contributes to the literature by integrating automation vulnerability into national readiness assessments and offers actionable insights for policymakers focused on education reform and workforce development.

The aim of this study was to analyze international differences in online consumer behavior. The analysis was carried out on a sample of 763 participants from the countries of Spain, France, Poland and Russia. Online consumer behavior was examined from the perspective of seven dimensions: shipping-related concerns and preferences, price sensitivity and perceived cost advantage, quality perception, security concerns, time-related benefits, availability and quality of information, and shopping service satisfaction. Data were verified using Average inter-item correlation, the Shapiro–Wilk test and Levene Statistic. Subsequently, Welch’s ANOVA and one-way ANOVA and the Games–Howell and Tukey HSD post hoc tests were applied. Statistically significant differences were fully identified in all examined dimensions. The largest differences were recorded in price sensitivity, shipping-related concerns and security concerns. The effect measurements, in addition to ANOVA and post hoc tests, confirm the significance of these differences. National context, shaped by culture, institutional trust and digital infrastructure, continues to influence online consumer behavior. The strategies that the businesses should adopt should focus on approaches that are tailor-made for a specific market. This means that adapting pricing models, strengthening trust (e.g., through secure payments and strengthening safe return policies), and adapting delivery options to local preferences can lead to improved customer satisfaction in cross-border e-commerce.