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Covid-19 crisis and digital stressors at work

A longitudinal study on the Finnish working population

Dados Bibliográficos

ID21564125
AutoresAtte Oksanen (0000-0003-4143-5580, Tampere University, autor correspondente), Reetta Oksa (0000-0002-8007-4653, Tampere University), Nina Savela (0000-0002-7042-6889, Tampere University), Eerik Mantere (0000-0002-5184-5818, Université de Bordeaux), Iina Savolainen (0000-0002-8811-965X, Tampere University), Markus Kaakinen (0000-0002-7067-1665, University of Helsinki)
Ano2021
Volume122
Páginas106853
Data de publicação2021-09-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoComputers in Human Behavior (JOURNAL)
Identificadores do periódicoISSN: 0747-5632 • E-ISSN: 1873-7692
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.chb.2021.106853
PMID34754137
OpenAlexW3158226197
IdiomaEN
Citações recebidas37
Referências citadas85

The global crisis caused by the outbreak of a novel coronavirus and the associated disease (COVID-19) has changed working conditions due to social-distancing policies. Many workers started to use new technologies at work, including social media applications. In this longitudinal study, we investigated the potential stress effects of social media communication (SMC) at work. Based on our integrative theoretical model, we expected that SMC at work would burden some workers, but those who were accustomed to SMC at work would be better off when the crisis started. We collected a nationally representative sample of Finnish workers before (N = 1308) and during (N = 1081) the COVID-19 crisis. Outcome measures included technostress and work exhaustion. Multilevel linear mixed-effects regression models investigated formal and informal SMC at work. Covariates included cyberbullying at work, social media usage, personality, occupational status, and sociodemographic factors. Results showed that formal SMC increased and predicted higher technostress. However, technostress and work exhaustion decreased among workers already accustomed to using SMC at work before the crisis. The results indicate a disparity in workers’ resilience during remote work and highlight a need for organizational level support

Multilevel model · Political science · Population · Psychological resilience · Social media · Sociology · Stressor · Technostress · Work engagement · Clinical Psychology · Computer Science · COVID-19 and Mental Health · Demography · Engineering · Impact of Technology on Adolescents · Psychology · Social Psychology · Technostress in Professional Settings

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Obras citantes distintas37
Citações por ano7,4
Intervalo de citações2021 - 2026 (6)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 34
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