Ivica Nikolić

This study examines whether institutional support, artificial intelligence (AI) literacy, and self-efficacy predict students' innovative behavior in higher business education in the context of growing AI use. Drawing on Social Cognitive Theory, we explain innovative behavior as an outcome shaped by the interaction between environmental conditions and personal capabilities. Empirically, the study relies on survey data collected from undergraduate students in North Macedonia to assess the effects of the three predictors on innovative behavior. The findings show that AI literacy emerges as the strongest predictor, while self-efficacy also has a positive and significant effect. In contrast, institutional support is positively related to innovative behavior but does not make a significant independent contribution. These results suggest that students' innovative actions depend more strongly on their competence and confidence than on support alone. The study contributes to the literature on AI in higher education by extending a social cognitive perspective to students' behavioral patterns related to innovation and highlights the importance of strengthening AI literacy and self-efficacy through higher education practice.

Occupational injuries remain a significant issue in European countries, affecting both worker safety and broader socio-economic outcomes. This study groups European countries into homogeneous categories based on workplace injury levels from 2014 to 2023. The analysis uses secondary data from Eurostat, including indicators on fatal and non-fatal workplace accidents within aggregated sectors: agriculture, industry and construction (excluding mining), and business economy services. To achieve the research objective, K-means cluster analysis was applied after data standardisation using Z-score normalisation. The results show substantial variability in occupational injury levels across countries, with particularly high dispersion for non-fatal injuries. The clustering identifies two distinct groups of countries, representing relatively safer and less safe working environments. While most countries show consistent classification across both fatal and non-fatal injury models, a significant number display discrepancies, suggesting that these indicators capture different aspects of workplace safety.

The process of globalization creates intense competition in the global market, requiring the economies of all countries to gain a competitive advantage through the development of innovation. This paper analyzes the innovation capabilities of all ten BRICS member states, including both the founding countries (Brazil, Russia, India, China, and South Africa) and the new members (Egypt, Ethiopia, Indonesia, Iran, and the United Arab Emirates). The analysis is based on the values of the Global Innovation Index (GII), which contributes to the creation of an environment in which innovation factors are continuously assessed and enables a comprehensive evaluation of innovation policies. The aim of the paper is to group BRICS countries into a homogeneous cluster in order to better understand their innovation capacities based on data collected over a five-year period. The research results provide a more comprehensive insight into the position of each BRICS member, identifying both the countries that stand out as leaders in innovation and those that lag behind.

This study investigates the service quality of transatlantic cruises by applying the SERVQUAL model combined with Importance-Performance Analysis (IPA) and gap analysis. Transatlantic cruises are a unique segment within the rapidly growing cruise tourism industry, where high service quality is crucial for customer satisfaction and loyalty. Despite its importance, empirical research applying robust service quality frameworks to this specific sector is still limited. This research utilizes a quantitative survey approach using a structured SERVQUAL questionnaire. Gap analysis revealed negative gaps across all five SERVQUAL dimensions, indicating that passenger's perceptions consistently fell short of their expectations. The Responsiveness, Reliability, and Empathy dimensions showed the largest gaps highlighting critical areas for improvement. A modified IPA analysis identified specific attributes requiring immediate attention, such as service timeliness and staff responsiveness to passenger requests. Additionally, it provided strategic guidance for resource allocation according to the categorization of other quality service attributes. The findings from the integrated IPA and gap analysis reveal a consistent pattern of performance deficits across all evaluated attributes, thereby highlighting the necessity for comprehensive service quality improvements within the observed transatlantic cruise operator. This study provides valuable insights for cruise service providers seeking to improve service delivery and passenger satisfaction.

MIT MIT Journal MIT Materiali in tehnologije Materials and technology Inštitut za kovinske materiale in tehnologije (IMT) Institute of Metals and Technology (IMT)

This paper explores the level of innovativeness among European Union (EU) countries through the application of the Global Innovation Index (GII) and cluster analysis methodology. The research aims to identify the key factors contributing to innovation in various EU countries and to group these countries into homogeneous cluster groups to understand their innovation performance better. Cluster analysis is employed to identify similarities among countries based on their innovation characteristics. The research results provide insight into the relative position of EU countries in the domain of innovation, identifying innovation leaders as well as those lagging behind. Cluster analysis enables the grouping of countries into cluster groups based on similarities in their innovation profiles, facilitating the identification of common challenges and opportunities for collaboration.

Research question: The aim of the study is to examine the inclination of engineering students in Serbia to adopt M-learning. Motivation: Mobile technologies provide new solutions in the current concept of learning. Students today have a new approach to learning since they live in the era of digital technology. The use of mobile technology in higher education came along with the technological enlightenment of professors and students, eradicating geographical boundaries and enabling cooperative learning. Idea: Mobile learning (M-learning) is unthinkable without the use of mobile devices and it plays an increasingly important role in the development of teaching methods in higher education. The research refers to the analysis and assessment of M-learning in higher education with the aim to identify problems and weaknesses related to the application of M-learning in order to set alternatives and criteria for the proposed model. Data: The survey was conducted through a questionnaire, and 341 correctly filled out questionnaires were collected. The obtained data were processed by the Visual Promethee software package. Tools: The research methodology was based on the Multi-criteria decision analysis (MCDA) method which was used in the form of PROMETHEE II/GAIA technique. In order to rank the student programmes from different study areas, groups of questions were used as criteria, and study programmes were used as alternatives. Findings: The acquired results indicated that M-learning was mostly used by the students of Engineering Management, since they frequently used mobile technology in certain required courses, as well as for obligatory business practice. It was also concluded that the study programme Metallurgical Engineering had the lowest performance concerning the implementation of M-learning among all other observed study programmes. Contribution: The conclusions of this study can add to the awareness-raising of the higher education institutions' interested parties and alert them to improve the quality of M-education by pointing out that there are differences in the adoption of M-learning depending on the type of engineering sciences.