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Unravelling the link between automatability and job satisfaction

Arthur Jacobs (UGent) , Elsy Verhofstadt (UGent) and Luc Van Ootegem (UGent)
(2023) JOURNAL OF LABOR RESEARCH. 44. p.199-227
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Abstract
We take a closer look at the negative association between automatability and job satisfaction using data from the European Working Conditions Survey. We find a significant negative effect of automatability on job satisfaction. We observe that the association is not driven by individual or contextual confounders, but rather that it is generated by the specific task content of highly automatable occupations. More precisely, we identify 'originality requirements' as the key mediator, as more originality hinders the automatability of an occupation while boosting the job satisfaction of employees. We also find evidence for a stronger bias of future automation towards less satisfying occupations within lower-educated labour market segments. We discuss what these findings imply for the future quality of work and for inequality by education.
Keywords
Automation, Job Satisfaction, Occupational Task Content, European Working Conditions Survey, J28, I31, European working conditions survey, Occupational task content, Job satisfaction

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MLA
Jacobs, Arthur, et al. “Unravelling the Link between Automatability and Job Satisfaction.” JOURNAL OF LABOR RESEARCH, vol. 44, 2023, pp. 199–227, doi:10.1007/s12122-023-09346-5.
APA
Jacobs, A., Verhofstadt, E., & Van Ootegem, L. (2023). Unravelling the link between automatability and job satisfaction. JOURNAL OF LABOR RESEARCH, 44, 199–227. https://doi.org/10.1007/s12122-023-09346-5
Chicago author-date
Jacobs, Arthur, Elsy Verhofstadt, and Luc Van Ootegem. 2023. “Unravelling the Link between Automatability and Job Satisfaction.” JOURNAL OF LABOR RESEARCH 44: 199–227. https://doi.org/10.1007/s12122-023-09346-5.
Chicago author-date (all authors)
Jacobs, Arthur, Elsy Verhofstadt, and Luc Van Ootegem. 2023. “Unravelling the Link between Automatability and Job Satisfaction.” JOURNAL OF LABOR RESEARCH 44: 199–227. doi:10.1007/s12122-023-09346-5.
Vancouver
1.
Jacobs A, Verhofstadt E, Van Ootegem L. Unravelling the link between automatability and job satisfaction. JOURNAL OF LABOR RESEARCH. 2023;44:199–227.
IEEE
[1]
A. Jacobs, E. Verhofstadt, and L. Van Ootegem, “Unravelling the link between automatability and job satisfaction,” JOURNAL OF LABOR RESEARCH, vol. 44, pp. 199–227, 2023.
@article{01HB8921XSDMTF5P3DRZA69PGQ,
  abstract     = {{We take a closer look at the negative association between automatability and job satisfaction using data from the European Working Conditions Survey. We find a significant negative effect of automatability on job satisfaction. We observe that the association is not driven by individual or contextual confounders, but rather that it is generated by the specific task content of highly automatable occupations. More precisely, we identify 'originality requirements' as the key mediator, as more originality hinders the automatability of an occupation while boosting the job satisfaction of employees. We also find evidence for a stronger bias of future automation towards less satisfying occupations within lower-educated labour market segments. We discuss what these findings imply for the future quality of work and for inequality by education.}},
  author       = {{Jacobs, Arthur and Verhofstadt, Elsy and Van Ootegem, Luc}},
  issn         = {{0195-3613}},
  journal      = {{JOURNAL OF LABOR RESEARCH}},
  keywords     = {{Automation,Job Satisfaction,Occupational Task Content,European Working Conditions Survey,J28,I31,European working conditions survey,Occupational task content,Job satisfaction}},
  language     = {{eng}},
  pages        = {{199--227}},
  title        = {{Unravelling the link between automatability and job satisfaction}},
  url          = {{http://doi.org/10.1007/s12122-023-09346-5}},
  volume       = {{44}},
  year         = {{2023}},
}

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