Digital Competence Survey in Hungary and Austria

DOI

10.2991/978-94-6239-658-6_19How to use a DOI?

Keywords

digital competence; digital literacy; education; cross-border research

Abstract

Nowadays, Information Technology (IT) is developing at a rapid pace. Existing techniques are being upgraded, and new ones are emerging. Big data, Artificial Intelligence (AI), Cloud Computing, etc., are becoming part of our lives. This makes it essential to develop digital knowledge and skills, as well as to foster a positive attitude towards innovation. In our cross-border research “DIGAP” “Intergenerational accessibility in digitalization among women”, digital competences were measured in 3 target areas: in Zala County, Graz, and in the East Styria region among women aged 15 and over. The target sample size was 250–250, stratified by age group, education, and place of residence. Our research questions asked whether there were differences in educational attainment between the two regions regarding digital competencies. Data collection took the form of an online questionnaire and a small-scale survey administered by a survey administrator. The questionnaire questions were developed by our research team based on the recommendations of the DigComp 2.2 framework, which was identified as the preferred framework in the literature review. The data were processed using SPSS statistical software. Our questions also included an assessment of the areas in which the women surveyed felt the need to develop their digital competences… The analysis also included the exploration of correlations and the description of cluster group behavior. In this paper, we present our partial results with a focus on educational attainment. In the future, we also plan to conduct focus group interviews among the target group.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Edit Bérces
AU  - Dóra Szili-Fodor
AU  - Zsuzsanna Nagyné Halász
PY  - 2026
DA  - 2026/05/01
TI  - Digital Competence Survey in Hungary and Austria
BT  - Proceedings of the Kautz Conference on Business and Economics 2025 (KCBE 2025)
PB  - Atlantis Press
SP  - 355
EP  - 373
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-658-6_19
DO  - 10.2991/978-94-6239-658-6_19
ID  - Bérces2026
ER  -