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Automation in Colombia: assessing skills needed for the future of work

Automation in Colombia: assessing skills needed for the future of work The purpose of this paper is to identify workforce skills that protect an occupation from elimination due to automation technology.Design/methodology/approachThe authors apply a Gaussian process (GP) classifier, based on the level of non-automatable work activities in an occupation, to USA and Colombian occupational datasets.FindingsThe authors find that communication, interpersonal relationship management and decision-making skills are most important in occupations that are resistant to automation.Research limitations/implicationsThe results are based on work activities data from the Occupational Information Network (O*NET) database developed for the USA labor market. This dataset does not capture significant differences in work activities, where they exist, for the same occupation between the two countries. The findings are also limited to Colombia. Readers should be careful to extrapolate the findings outside of this geography.Originality/valueThe authors discover that automation is likely to be a global phenomenon that can only be slightly mitigated by cultural and political factors. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Higher Education Skills and Work-based Learning Emerald Publishing

Automation in Colombia: assessing skills needed for the future of work

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References (80)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2042-3896
DOI
10.1108/heswbl-01-2021-0003
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to identify workforce skills that protect an occupation from elimination due to automation technology.Design/methodology/approachThe authors apply a Gaussian process (GP) classifier, based on the level of non-automatable work activities in an occupation, to USA and Colombian occupational datasets.FindingsThe authors find that communication, interpersonal relationship management and decision-making skills are most important in occupations that are resistant to automation.Research limitations/implicationsThe results are based on work activities data from the Occupational Information Network (O*NET) database developed for the USA labor market. This dataset does not capture significant differences in work activities, where they exist, for the same occupation between the two countries. The findings are also limited to Colombia. Readers should be careful to extrapolate the findings outside of this geography.Originality/valueThe authors discover that automation is likely to be a global phenomenon that can only be slightly mitigated by cultural and political factors.

Journal

Higher Education Skills and Work-based LearningEmerald Publishing

Published: Mar 9, 2022

Keywords: Automation; Colombia; Future of work; Technology; Soft skills; Latin America

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