Average Matching Levels for Two DigComp Competence Areas of the Female Entrepreneurs in Serbia
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Abstract
This paper aims to analyze the average level of matching the self-assessment and real-life scenario digital competences questions of Serbian female entrepreneurs using an online survey. The authors focused on the questions which belong to the first two areas of the Digital Competence Framework (DigComp). The online survey consisted of four general, and 71 self-assessment and life-scenario combined questions. The survey was distributed and used from 5th February until 5th March 2021. Results showed that the average matching levels of both areas were higher than 50% (medium). On the other side, according to the authors, they were not on a satisfactory level. The females' best performances in matching (above 80%) were in the "Browsing, searching, and filtering data, information and digital content" (segment of the first area) and "Interacting through digital technologies" (segment of the second area). Opposite, respondents' lowest matching level performances were in the "Managing data, information and digital content" (part of the first area) and "Sharing through digital technologies", and "Engaging in citizenship through digital technologies" (part of the second area).
The results of the conducted research show that female entrepreneurs should pay more attention to required competences for organizing data in digital environments and on competences directed to digital society services.
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