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Abstract: In the following chapter we outline the preparation of a method guide for the inclusion of travel writing into communication skills curricula. In the introduction we present an overview of travel writing where we also discuss the basic concepts of communication skills. Furter, we expand the theory of readings and examples of good practice in relation to topics of travel writing and link it to the concept of green curricula for a sustainable future. The paper further presents an analysis of communication skills curricula in travel writing from several higher education institutions. The analysis functions as an example of good practice in the preparation of a common methodology for the inclusion of travel writing into communication skills curricula and the preparation of tasks for undergraduate and master level of education; these are also presented in the chapter.
Keywords: method guide, travel writing, travelers' writings, communication skills, educational programs, didactics, curricula, language
Published in DKUM: 17.11.2025; Views: 0; Downloads: 0
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Abstract: Timely and accurate traffic information is crucial for maintaining safety and efficiency on motorway networks. This research examines time delays in traffic information transmission through intelligent transport systems (ITSs) and cooperative intelligent transport systems (C-ITSs) on the Slovenian motorway network. The aim of the research is to assess the effectiveness of existing notification systems and the impact of time delays on the timely informing of drivers in the event of an accident in a tunnel. Using real-world data from Regional Traffic Center (RCC) in Vransko, manual and automated activations of traffic portals and different update frequencies of the Promet+ mobile application were analyzed during peak hours. Results show that automated activation reduces delays from 34 to 25 s at portals and from 27 to 18 s in the Promet+ app. Continuous updates in the app provided the highest driver coverage, leaving only 15 uninformed drivers in the morning peak and 8 in the afternoon, whereas 60 s update intervals left up to 71 drivers uninformed. These findings highlight the effectiveness of automation and continuous updates in minimizing delays and improving driver awareness. The research contributes by quantifying latency in ITSs and C-ITSs and demonstrating that their combined use offers the most reliable information delivery. Future improvements should focus on hybrid integration of ITS and C-ITS, dynamic update intervals, and infrastructure upgrades to ensure consistent real-time communication, shorter response times, and enhanced motorway safety.
Keywords: intelligent transport systems (ITS), cooperative intelligent transport systems (C-ITS), hybrid communication, traffic information transmission
Published in DKUM: 03.11.2025; Views: 0; Downloads: 12
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Abstract: Artificial intelligence has revolutionised the way we communicate in recent years, especially on social networks, where communication is fast and large-scaled. Companies are also using artificial intelligence to communicate with customers, including automating messages intended for customer acquisition, which raises a key question: how effective are messages created with artificial intelligence compared to messages written without artificial intelligence? This thesis analyses the impact of artificial intelligence on business communication using the example of company X. The research compares the effectiveness of messages created with artificial intelligence with messages written without artificial intelligence in the form of LinkedIn outreach, focusing on two key performance indicators: the response rate to the messages and the number of video calls made with potential customers. In addition, the time efficiency of preparing content for messages with and without artificial intelligence was also analysed. The results show that messages created with artificial intelligence were not only faster to prepare but also achieved higher response rates and a higher number of scheduled video calls with customers compared to messages written without artificial intelligence. This thesis contributes to a better understanding of the role of artificial intelligence in modern business communication and offers insights into its value in connecting with potential customers via social networks, using a practical example.
Keywords: Artificial intelligence, business communication, social networks, comparison.
Published in DKUM: 03.10.2025; Views: 0; Downloads: 15
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Abstract: Funding: This work was supported by the Slovenian Research Agency; Program No. P5-0018 – Decision Support Systems in Digital Business and the HSE University Basic Research Program. Conflicts of interest: All authors declare that they have no conflicts of interest. Ethics statement: All procedures performed in this study involving human participants were in accordance with the ethical standards of the University of Maribor, Faculty of Organizational Sciences research committee (decision no. 514/5/2021/1/902-DJ) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Background and purpose: Technology acceptance has been researched for decades. While some technologies are widely accepted, others are perceived as a threat, such as microchip implants. In this study, a two-step structural equation modeling approach was used to evaluate a new research model on microchip implant acceptance. Methodology: A structural equation modeling model was developed to identify what influences the perceived acceptance of microchip implants. To determine differences in attitudes toward microchip implants, the study was conducted in five Eastern European countries. Results: The results show that the influence of the factors does not differ significantly across the countries studied. Age, trust, and perceived usefulness affected the overall intention to use microchip implants, while ease of use was significant in only one country. Differences were found in perceptions of the right to privacy and conspiracy theories. The usefulness of microchip implants in pandemic was significant in all countries. Conclusion: Small differences in attitudes towards microchip implants suggest that a general model of microchip implant acceptance could be constructed based on the data collected. In addition to these findings, our study noted the lack of legislation for microchip implants in the region and a lack of knowledge about this technology.
Keywords: microchip implant, near field communication, behavioural intentions, structural equation model, technology acceptance model
Published in DKUM: 05.09.2025; Views: 0; Downloads: 8
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Abstract: Digital technologies in all forms have become ubiquitous in our media-rich, modern information society, but the connection between their use and information literacy is not always clear. This paper examines the impact of daily use of digital technologies on the reading and information literacy skills of 15-year-old students in Slovenia, based on data from the Programme for International Student Assessment (PISA) 2018 study. The study examines PISA 2018 variables related to Information and Communication Technologies (ICT), as well as a reading task involving the use of ICT. The sample consists of 2612 Slovenian students with a gender distribution of 50.8% girls and 49.2% boys. The study explores students' experiences, enjoyment, selfefficacy, autonomy, and independence in using ICT and learning about its use and identifies two groups of students: one group that is curious and another that is cautious. The results of confirmatory factor analysis (CFA) and structural equation modelling (SEM) show that the constructs of enjoyment, self-efficacy, learning, autonomy, and independence are highly/strongly correlated but have a low/insignificant impact on information literacy skills.
Keywords: information and communication technologies, ICT, information literacy, reading literacy, secondary schools, PISA 2018
Published in DKUM: 28.08.2025; Views: 0; Downloads: 2
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