A framework for research on the automation of work
Santiago Melián-González and
Jacques Bulchand-Gidumal
Technological Forecasting and Social Change, 2025, vol. 215, issue C
Abstract:
Most research on work automation has been conducted using a job-centered approach, which analyzes whether or not a job can be automated. However, this particular perspective can lead to incorrect conclusions. Research has also examined general work activities that do not accurately represent the tasks that workers do. This study proposes a framework for research on work automation that includes multiple scopes of analysis reflecting the scale of technology being analyzed (from technology in general to specific technologies) and the work descriptor being considered (the labor market, occupations, jobs, duties, or tasks). The scope of the analysis determines the type of effects on work and on workers that will be predicted and the relevance and reliability of these predictions. Based on the proposed framework, we assess the impact of technology on an important job in the hotel industry: chambermaids. Compared to other predictions, the results reflect that worker displacement is improbable in this case. In general, job automation is more likely to occur through a combination of partial job automation and work redesign rather than the replacement of entire jobs by technology.
Keywords: Work automation; Automation technologies; Jobs (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525001246
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:215:y:2025:i:c:s0040162525001246
DOI: 10.1016/j.techfore.2025.124093
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().