Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic

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The current study aims to validate and apply an instrument to assess the relationship between communication overload, social overload, technostress, exhaustion and academic performance. We performed a cross-sectional, analytical study of 2286 university medical students to assess the influence of te...

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Detalles Bibliográficos
Autores: Alvarez-Risco, Aldo, Del-Aguila-Arcentales, Shyla, Yáñez, Jaime A., Rosen, Marc A., Mejia, Christian R.
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/658414
Enlace del recurso:http://hdl.handle.net/10757/658414
Nivel de acceso:acceso abierto
Materia:Academic performance
COVID-19
Pandemic
Peru
Social media overload
University students
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dc.title.es_PE.fl_str_mv Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
title Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
spellingShingle Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
Alvarez-Risco, Aldo
Academic performance
COVID-19
Pandemic
Peru
Social media overload
University students
title_short Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
title_full Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
title_fullStr Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
title_full_unstemmed Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
title_sort Influence of technostress on academic performance of university medicine students in peru during the covid-19 pandemic
author Alvarez-Risco, Aldo
author_facet Alvarez-Risco, Aldo
Del-Aguila-Arcentales, Shyla
Yáñez, Jaime A.
Rosen, Marc A.
Mejia, Christian R.
author_role author
author2 Del-Aguila-Arcentales, Shyla
Yáñez, Jaime A.
Rosen, Marc A.
Mejia, Christian R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Alvarez-Risco, Aldo
Del-Aguila-Arcentales, Shyla
Yáñez, Jaime A.
Rosen, Marc A.
Mejia, Christian R.
dc.subject.es_PE.fl_str_mv Academic performance
COVID-19
Pandemic
Peru
Social media overload
University students
topic Academic performance
COVID-19
Pandemic
Peru
Social media overload
University students
description The current study aims to validate and apply an instrument to assess the relationship between communication overload, social overload, technostress, exhaustion and academic performance. We performed a cross-sectional, analytical study of 2286 university medical students to assess the influence of technostress as a mediator of social media overload, communication overload and mental exhaustion and its detrimental effect on the academic performance of university students in Peru during the COVID-19 pandemic. The research model was validated using partial least square structural equation modeling (PLS-SEM) to establish the influence of variables on the model. Communication and social overload were found to positively influence technostress by correlations of 0.284 and 0.557, respectively. Technostress positively influenced exhaustion by 0.898, while exhaustion negatively influenced academic performance by-0.439. Bootstrapping demonstrated that the path coefficients of the research model were statistically significant. The research outcomes may help university managers understand students’ technostress and develop strategies to improve the balanced use of technology for their daily academic activities.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-12-30T15:12:22Z
dc.date.available.none.fl_str_mv 2021-12-30T15:12:22Z
dc.date.issued.fl_str_mv 2021-08-02
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.doi.none.fl_str_mv 10.3390/su13168949
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/658414
dc.identifier.eissn.none.fl_str_mv 20711050
dc.identifier.journal.es_PE.fl_str_mv Sustainability (Switzerland)
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identifier_str_mv 10.3390/su13168949
20711050
Sustainability (Switzerland)
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dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:UPC-Institucional
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institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Sustainability (Switzerland)
dc.source.volume.none.fl_str_mv 13
dc.source.issue.none.fl_str_mv 16
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The research model was validated using partial least square structural equation modeling (PLS-SEM) to establish the influence of variables on the model. Communication and social overload were found to positively influence technostress by correlations of 0.284 and 0.557, respectively. Technostress positively influenced exhaustion by 0.898, while exhaustion negatively influenced academic performance by-0.439. Bootstrapping demonstrated that the path coefficients of the research model were statistically significant. 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