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Analysis of technostress experienced by students at the university of cape town, during the COVID-19 pandemic
Issues in Information Systems ; 23(1):68-85, 2022.
Article Dans Anglais | Scopus | ID: covidwho-20234361
ABSTRACT
Information and Communication Technology (ICT) is used to improve the quality of many people's lives. However, heavy reliance on ICT can lead to technostress, causing health and productivity problems. Technostress has been analysed in organisations, but not in a university context, especially under remote learning during COVID-19. The purpose of this paper is to provide an explanatory contribution to knowledge regarding university students' experiences of technostress and how it impacts their academic productivity and performance. The data for this paper was collected using an online questionnaire among the students of one leading research university in Africa and used to test hypotheses related to a technostress theoretical model. The data was gathered from a convenience sample of 100 student responses. A technostress model (based on transaction theory of stress) was formed for hypothesis testing. Some hypotheses were not supported, but those that were indicated that universities should ensure that techno-complexity is reduced, and remote learning environments are improved. It was also found that technostress has a negative impact on academic productivity and performance, and that coping mechanisms can moderate the relationship between technostress and academic productivity and performance. The findings related to student remote learning environments and the moderating effect of student coping mechanisms are unique to this study. © 2022 International Association for Computer Information Systems
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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus Type d'étude: Étude observationnelle / Recherche qualitative langue: Anglais Revue: Issues in Information Systems Année: 2022 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus Type d'étude: Étude observationnelle / Recherche qualitative langue: Anglais Revue: Issues in Information Systems Année: 2022 Type de document: Article