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Remote Work admist the Covid-19 outbreak: Insights from an Ensemble Community-Based Keyword Network Analysis

Author

Listed:
  • Drago, Carlo
  • Errichiello, Luisa

Abstract

COVID-19’s rapid shift to remote working has sparked interest in synthetizing the growing body of research in order to gain a comprehensive understanding into the scholarship structure of the field. This study explores the issue of pandemic-induced remote working from a multidisciplinary perspective, paving the way for further investigation and effective decision-making. A co-occurrence network analysis of keywords in scientific articles is employed to comprehensively analyze the international literature on pandemic-induced remote working. We use bibliometric analysis, network centrality measures, and community detection algorithms to identify key concepts, trends, and interconnections within the pandemic-induced research landscape. As a result of our literature review, several prominent themes and topics were identified, emphasizing distinct keyword communities. These communities address essential aspects of remote working, such as human resource management, well-being, technology adoption, leadership, and socioeconomic implications. Based on the extracted concepts, we propose directions for future research focusing on the prospects of remote work in the post-pandemic era. Additionally, we recommend policy implications for organizations and policymakers.

Suggested Citation

  • 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).
    • Handle: RePEc:ags:feemwp:341640
    DOI: 10.22004/ag.econ.341640
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