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大学生的社会人口学特征与其数字创业能力水平之间的关联。

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

作者信息

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

机构信息

Australian University, Kuwait / Institute of Economic Sciences, Serbia.

Institute of Economic Sciences, Serbia.

出版信息

Heliyon. 2023 Oct 12;9(10):e20897. doi: 10.1016/j.heliyon.2023.e20897. eCollection 2023 Oct.

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.

摘要

本文旨在提供关于高等教育学生在接受高等教育期间所获得的数字创业能力(DEC)水平的实证证据,并调查其社会人口特征与DEC水平之间的关系。对DEC EmDigital能力框架的第一个能力领域(机会识别)及其三个子能力领域(信息搜索与分析、创造力与创新、勘探)进行了评估,并使用逻辑回归研究了DEC水平与高等教育学生各种社会人口特征之间的关系。结果显示,参与研究的学生在第一个EmDigital能力领域的DEC水平相对较低。研究发现,地理位置、学习领域、学习水平和就业状况对于DEC的获得具有统计学意义,而年龄和性别变量的影响较小。本研究结果朝着开发一种DEC在线评估工具(以数字能力轮为榜样)迈出了一步,大学和其他利益相关者可以使用该工具来评估其学生在大学教育期间获得的DEC水平。本研究是第一项评估大学学习期间DEC的获得情况以及学生不同社会人口特征对其DEC水平影响的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65b2/10589852/ef5d5e4ebd03/gr1.jpg

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