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

Carlo Drago and Luisa Errichiello
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Luisa Errichiello: National Research Council of Italy – CNR, Institute for Studies on the Mediterranean – ISMed

No 2024.05, Working Papers from Fondazione Eni Enrico Mattei

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.

Keywords: Remote work; telework; virtual work; covid-19; pandemic; bibliometric analysis (search for similar items in EconPapers)
JEL-codes: C19 C38 J8 J80 (search for similar items in EconPapers)
Date: 2024-04
New Economics Papers: this item is included in nep-lab
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Working Paper: Remote Work admist the Covid-19 outbreak: Insights from an Ensemble Community-Based Keyword Network Analysis (2024)
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