Evidence map›Paper›PMID 37867828›Full record

ArticleHeliyon2023

The association of socio-demographic characteristics of university students and the levels of their digital entrepreneurial competences.

Vladimir Simovic, Ivana Domazet, Milica Bugarcic, Mirna Safi, Hamsa Sarhan, Rupali Bhagat, Aleksandra Bradic Martinovic

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Vladimir SimovicAustralian University, Kuwait / Institute of Economic Sciences, Serbia.
Ivana DomazetInstitute of Economic Sciences, Serbia.
Milica BugarcicBelgrade Banking Academy, Serbia.
Mirna SafiAustralian University, Kuwait.
Hamsa SarhanAustralian University, Kuwait.
Rupali BhagatAustralian University, Kuwait.
Aleksandra Bradic MartinovicInstitute of Economic Sciences, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this article is to provide empirical evidence on the level of digital entrepreneurial competences (DEC) that higher education students acquire during their higher education and to investigate the relationship between their socio-demographic characteristics and the level of DEC. The first competence area (Identification of opportunities) of the DEC EmDigital competence framework was assessed together with its three sub-competence areas (Search for and analysis of information, Creativity and innovation, and Prospecting), and the relationship between the level of DEC and various socio-demographic characteristics of higher education students was investigated using logistic regression. The results show a relatively low DEC level of the participating students for the first EmDigital competence area. Location, field of study, level of study and employment status were found to be statistically significant for the acquisition of DEC, while the variables age and gender had little impact. The results of this study are a step towards the development of an DEC online assessment tool (using the Digital Competence Wheel as a role model) that universities and other stakeholders could use to assess the level of DEC their students acquire during university education. This research is the first study to assess the acquisition of DEC during university studies and the impact of different socio-demographic characteristics of students on their level of DEC.

Indexed as

Digital entrepreneurial competencesEmDigitalIdentification of opportunitiesUniversity students competence assessment

Identifiers

PMID37867828
PMCPMC10589852

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.