 Automation and occupational mobility: A task and knowledge-based approachAleksandr Christenko Technology in Society, 2022, vol. 70, issue C Abstract: How does automation affect labour? Academic literature emphasises that automation leads to job displacement, polarisation of labour, slower wage growth for the middle skilled and more. However, existing literature seldom discusses ways individuals could adapt to automation. One such insufficiently explored adaptation strategy is occupational mobility. To fill this gap, this article proposes and validates a task and knowledge based occupational mobility network that takes into account automation. The result of the analysis shows that many compelling insights can be derived from such a network. First, many occupations cluster together with similar automation probabilities, though some exceptions exist. Second, individuals from occupations who share tasks with occupations that have a low probability of automation can more easily find a new job if they lose their current one. Finally, the analysis shows that occupational mobility could greatly enrich the discussion on automation and labour. Keywords: Automation; Labour force; Network analysis; Occupational mobility; Tasks (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:70:y:2022:i:c:s0160791x22001178 DOI: 10.1016/j.techsoc.2022.101976 Access Statistics for this article Technology in Society is currently edited by Charla Griffy-Brown More articles in Technology in Society from Elsevier |
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