Social Support as Technostress Inhibitor

Julia Lanzl ()
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Julia Lanzl: Branch Business & Information Systems Engineering of the Fraunhofer FIT

Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, 2023, vol. 65, issue 3, No 7, 329-343

Abstract: Abstract Due to ongoing digitalization and the social distancing measures that came along with the COVID-19 pandemic, the working conditions and environments have changed for many individuals. Because of increased telework, the use of digital technologies for communicating and collaborating at work has been intensified, which can cause technostress. With longitudinal data from two surveys – one before and one during the COVID-19 pandemic – the paper analyzes the relationship between four social support dimensions (supervisor support, co-worker support, sense of community at work, and family support) and technostress creators. The study shows that social support can be an effective inhibitor of technostress creators. However, social support dimensions have to be differentiated in that regard. Further, the results show that the inhibiting effect of family support has become even more important during the COVID-19 pandemic. The results contribute to technostress research and research with regard to the new normal of working after the pandemic.

Keywords: Technostress; Technostress inhibitors; Social support; Longitudinal data; Structural equation modeling (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12599-023-00799-7

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