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Položka Post-pandemic consumer behavior: reflecting on the COVID-19 pandemic lessons(Niš : Complex system research centre, 2025) Veselovská, LenkaThe COVID-19 pandemic significantly impacted societies all around the world. Currently, almost a year after the pandemic's conclusion, it is obvious that this period of adversity created changes that prevail. The main aim of this paper was to explore these changes and outline future trends in consumer behavior. The findings of this research are based on a survey conducted on a representative sample of consumers from the selected country. This method for collecting and processing data enabled the results to be based solely on consumers’ opinions and experiences. According to the data, the main aspect of consumer behavior that prevailed is the online shopping and preference for food delivery. The phenomenon that was important during the pandemic but disappeared completely was the preference for shopping unaccompanied.Položka Factors affecting adoption of artificial intelligence in SMEs and its impact on firm's skills needs(Niš : Complex system research centre, 2025) Huňady, JánThe paper deals with the problem of artificial intelligence (AI) adoption in companies. It aims to empirically examine factors affecting the adoption of AI. It also identifies factors influencing the potential effects of AI adoption on future infirm skills needs. There is currently an absence of research focused on examining this topic based on empirical data. The research is based on the secondary data from Flash Eurobarometer 537 (2023). More than 19,000 companies from 27 EU countries and 9 non-EU countries have been included in the sample. By examining these data, substantial systematic differences were found between companies with different characteristics. Factors affecting AI adoption and consequences on skills needed have been identified by logistic regression. The results suggest that larger companies with older employees located in cities, as well as those hiring adequate skills without any problems, are often adopting AI. Similar characteristics are also typical for companies that reported a significant effect of AI on their skill needs. However, in this case, the effect of community size and difficulties with hiring skills are not significant. Significant differences were also identified among industries and types of specific skills that a company lacksPoložka Differences in AI utilization between students and teachers in higher education institution: an empirical study(Linz : Trauner Verlag, 2024) Závadský, Ján; Závadská, Zuzana; Osvaldová, ZuzanaThis study investigates the utilization of Artificial Intelligence (AI) within the context of higher education, focusing on the divergent patterns of AI adoption among students and teachers at Matej Bel University. Employing a questionnaire as the primary research method, the objectives were twofold: to ascertain the extent of AI usage among the university's students and teachers and to examine the scope of AI references within academic materials. The findings reveal significant differences in AI utilization between students and teachers. This empirical study contributes to the burgeoning discourse on AI ethics in higher education, emphasizing the need for a comprehensive understanding of AI's role in shaping teaching methodologies and learning experiences. Empirical research was carried out on a sample of teachers at Matej Bel University and on a sample of students at the Faculty of Economics. The representativeness of the sample was verified by the chi-square test. The research confirmed greater use of AI by students, but on the contrary, a more ethical approach by teachers.