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Long-term effects of COVID-19 on work routines and organizational culture – A case study within higher education’s administration

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  • Müller, Lea S.
  • Reiners, Sebastian
  • Becker, Jörg
  • Hertel, Guido

Abstract

As a sudden, external event, the COVID-19 pandemic rapidly disrupted the workplace and required organizations to digitalize their working approaches. To understand how such external events affect organizations in the short- and long-term, we investigated the case of a higher education institution’s administration, which combines features of public and private organizations. We applied a longitudinal case study and conducted interviews with 39 German higher education institution (HEI) employees at two time points during the first (2020) and second (2021) lockdown. Content analyses revealed that a general openness toward change and distinct technical infrastructure enabled efficient coping with the pandemic despite struggles with digitalization and rigidity. Advantages in work outcomes were contrasted with losses in social interactions. Flexible models (e.g., working from home or the office) were desirable long-term work concepts. We integrated our findings in a framework on factors that contribute to supporting organizational adaptations and derived practical recommendations.

Suggested Citation

  • Müller, Lea S. & Reiners, Sebastian & Becker, Jörg & Hertel, Guido, 2023. "Long-term effects of COVID-19 on work routines and organizational culture – A case study within higher education’s administration," Journal of Business Research, Elsevier, vol. 163(C).
  • Handle: RePEc:eee:jbrese:v:163:y:2023:i:c:s0148296323002850
    DOI: 10.1016/j.jbusres.2023.113927
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    References listed on IDEAS

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    Cited by:

    1. Drago, Carlo & Errichiello, Luisa, 2024. "Remote Work admist the Covid-19 outbreak: Insights from an Ensemble Community-Based Keyword Network Analysis," FEEM Working Papers 341640, Fondazione Eni Enrico Mattei (FEEM).
    2. Carlo Drago & Luisa Errichiello, 2024. "Remote Work admist the Covid-19 outbreak: Insights from an Ensemble Community-Based Keyword Network Analysis," Working Papers 2024.05, Fondazione Eni Enrico Mattei.

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