1. Factors affecting attitudes towards COVID-19 vaccination : an online survey in SloveniaLuka Petravić, Rok Arh, Tina Gabrovec, Lucija Jazbec, Nika Rupčić, Nina Starešinič, Lea Zorman, Ajda Pretnar Žagar, Andrej Srakar, Matjaž Zwitter, Ana Slavec, 2021, original scientific article Abstract: While the problem of vaccine hesitancy is not new, it has become more pronounced with the new COVID-19 vaccines and represents an obstacle to resolving the crisis. Even people who would usually trust vaccines and experts now prefer to wait for more information. A cross-sectional online survey was conducted in Slovenia in December 2020 to find out the attitudes of the population regarding COVID-19 vaccination and the factors that affect these attitudes. Based on 12,042 fully completed questionnaires, we find that higher intention to get vaccinated is associated with men, older respondents, physicians and medical students, respondents who got the influenza vaccination, those who knew someone who had gotten hospitalised or died from COVID-19 and those who have more trust in experts, institutions and vaccines. Nurses and technicians were less likely to get vaccinated. In answers to an open question, sceptics were split into those doubting the quality due to the rapid development of the vaccine and those that reported personal experiences with side effects of prior vaccinations. Although the Slovenian population is diverse in its attitudes towards vaccination, the results are comparable to those found in other countries. However, there are potential limitations to the generalizability of the findings that should be addressed in future studies.
Keywords: cross-sectional studies, intention, public opinion, trust, ordinal regression, COVID-19, vaccination, surveys and questionnaires, Europe, immune system, SARS-CoV-2
Published in DKUM: 10.10.2024; Views: 0; Downloads: 10
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2. Categorisation of open government data literatureAljaž Ferencek, Mirjana Kljajić Borštnar, Ajda Pretnar Žagar, 2022, review article Abstract: Background: Due to the emerging global interest in Open Government Data, research papers on various topics in this area have increased.
Objectives: This paper aims to categorise Open government data research.
Methods/Approach: A literature review was conducted to provide a complete overview and classification of open government data research. Hierarchical clustering, a cluster analysis method, was used, and a hierarchy of clusters on selected data sets emerged.
Results: The results of this study suggest that there are two distinct clusters of research, which either focus on government perspectives and policies on OGD, initiatives, and portals or focus on regional studies, adoption of OGD, platforms, and barriers to implementation. Further findings suggest that research gaps could be segmented into many thematic areas, focusing on success factors, best practices, the impact of open government data, barriers/challenges in implementing open government data, etc.
Conclusions: The extension of the paper, which was first presented at the Entrenova conference, provides a comprehensive overview of research to date on the implementation of OGD and points out that this topic has already received research attention, which focuses on specific segments of the phenomenon and signifies in which direction new research should be made.
Keywords: open government data, open government data research, hierarchical clustering, OGD classification, OGD literature overview
Published in DKUM: 12.06.2024; Views: 134; Downloads: 14
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3. Text mining tourism literatureAjda Pretnar Žagar, Tomaž Curk, 2021, published scientific conference contribution Abstract: Literature reviews are essential for understanding a specific domain as they map the main topics of current re-search. Our aim was to provide a framework for retrieving articles from online databases and analyzing them in a single script. We provide the analytical pipeline as open-source (https://github.com/tourism4-0/BibMine). The main research focus was on analyzing 318 abstracts from scientific papers on tourism and innovation, which we report in Zach et al. (2019). We used LDA topic modeling to uncover ten main topics, which we analyzed using pyLDAvis visualization. We used saliency and relevance scores to determine the main words that de-scribe a topic. The uncovered topics range from climate change and land use to smart destinations, travel expe-riences, and ICT. We performed similar analyses for the term "stakeholders," where we also observed the main verbs related to the query. Since verbs best define an activity, we used them to determine how stakeholders are involved in tourism development. Finally, we analyzed papers with the keyword "technology," where energy efficiency, VR, web technology, and augmented tourist experiences were the main topics.
Keywords: text mining, literature review, meta-analysis, topic modeling, tourism
Published in DKUM: 24.01.2024; Views: 274; Downloads: 7
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4. Analiza podatkov o prometnih tokovih in mobilnostiAjda Pretnar Žagar, Tomaž Hočevar, Tomaž Curk, 2021, published scientific conference contribution Abstract: Podatki o prometu nam lahko pomagajo odgovoriti na več vprašanj o mobilnosti ljudi. Opaženi vzorci razkrivajo, kako narod vozi, kaj počne med tednom in med konci tedna ter kako se navade ljudi spreminjajo čez leto. Tovrstne informacije nam pomagajo razumeti sedanje in prihodnje vedenje turistov ter omogočajo prilagoditev in vpliv na promet. Analizirali smo javno dostopen nabor podatkov števcev cestnega prometa v Sloveniji. Razvili smo računske metode za iskanje zanimivih vzorcev v prometu. Lokacije števcev prometa smo gručili glede na podobnosti v opazovanih prometnih profilih. Takšna avtomatizirana kvantitativna analiza velike količine podatkov je dragoceno orodje za odkrivanje zanimivih lastnosti v prometu. Odprti podatki števcev prometa v realnem času nudijo še globlji vpogled v mobilnost. Na podlagi opaženih korelacij med bližnjimi števci prometa smo ustvarili model cestnega omrežja. Z modelom smo analizirali prometni tok po cestnem omrežju in razvili metodo za štetje prometa v določeno izbrano regijo in iz nje.
Keywords: promet, števci, profil, graf, tok
Published in DKUM: 24.01.2024; Views: 301; Downloads: 12
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