Ovaj pregledni rad baziran je na desk istraživanju okvira digitalne kompetentnosti ,,Digital Competence Framework-DigComp'' koji je razvijen od strane Evropske Komisije. Okvir je nastao na osnovu rezultata istraživanja uzorka populacije Evropske Unije, koji su pokazali da veliki procenat ima nerazvijene digitalne veštine. Cilj ovog rada je pregled trenutnog stanja literature koja je zasnovana na postojećem okviru DigComp, njegovim oblastima i veštinama unutar tih oblasti, nastale na teritoriji Republike Srbije i drugih zemalja. Uz pregled, urađeno je poređenje određenih oblasti okvira DigComp 2.0 sa prethodnim (DigComp 1.0), kao i kratko osvrtanje na njihovu primenu u praksi. Ustanovljeno je da postoji prostor za dodatno proučavanje ove tematike, te je to doprinelo identifikaciji pravaca budućih istraživanja koji će biti usmereni na merenje digitalnih veština studenata.

The emergence of the COVID19 pandemic has changed the way the world and business function, where the physical environment is shifting to a remote (online) environment. The fact emphasizes the importance of information technology (ICT) and its tools. The demand for ICT derivatives leads to the dispersion of the necessary competences for their use. The importance of this paper is reflected in the fact that the authors determine the level of women entrepreneurs' knowledge (based on two Digital Competences framework areas) and identify which competences should be improved to be in line with market requirements. The research was conducted on a sample of 114 women entrepreneurs from February-March 2021. Based on the analysis, the authors identified the enormous gap in the second area of "Communication and Collaboration", which concerns the interaction with third parties through digital technologies.

This paper aims to examine Serbian female entrepreneurs' performance related to digital competences based on real-life scenario questions. The research was conducted on a sample of 114 female entrepreneurs. The method used for collecting data was an online survey (Google form). The survey questions were based on Digital Competence Framework (DigComp) focusing on the first two areas, "Information and data literacy" and "Communication and collaboration". The results showed that the female entrepreneurs in Serbia achieved better performance (i.e., answered the questions correctly) in the area "Information and data literacy" especially in the segment "Browsing, searching, and filtering data, information and digital content". On the other side, lower performance of Serbian female entrepreneurs was achieved in the area "Communication and collaboration", where nine questions from thirteen were not answered correctly. Segments "Engaging in citizenship through digital technologies", "Collaborating through digital technologies" and "Netiquette" were identified as the most problematic because there was no correct answer. The authors can conclude that skills incorporated in the segments of the second area need to be improved and boosted to be in line with market demands.

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This paper aims to determine which of the two sample plans, i.e., a simple random sample without replacement, or a stratified sample, gives a more accurate estimate of the feature's mean. The feature that was the subject of this research is the human development index in 2018. The analysis included 189 countries globally, classified into specific categories according to the United Nations development classification. The research results showed that a more accurate estimate of the mean of the human development index was obtained by applying a stratified sampling since the mean of the human development index is close to the population mean. Also, the variance of the sample mean is lower than the value obtained by applying a simple random sampling without replacement. Therefore, it was justified to approach stratification, which indicates that in the case of conducting research, the use of a stratified sampling should be considered since it provides a more precise estimate of the mean.