Automation in Colombia: Assessing Skills Needed for the Future of Work
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| Title: | Automation in Colombia: Assessing Skills Needed for the Future of Work |
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| Language: | English |
| Authors: | Jones, Michael (ORCID |
| Source: | Higher Education, Skills and Work-based Learning. 2022 12(2):225-240. |
| Availability: | Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight |
| Peer Reviewed: | Y |
| Page Count: | 16 |
| Publication Date: | 2022 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Foreign Countries, Automation, Job Skills, Occupations, Employment |
| Geographic Terms: | Colombia, United States |
| DOI: | 10.1108/HESWBL-01-2021-0003 |
| ISSN: | 2042-3896 |
| Abstract: | Purpose: The purpose of this paper is to identify workforce skills that protect an occupation from elimination due to automation technology. Design/methodology/approach: The 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. Findings: The authors find that communication, interpersonal relationship management and decision-making skills are most important in occupations that are resistant to automation. Research limitations/implications: The 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/value: The authors discover that automation is likely to be a global phenomenon that can only be slightly mitigated by cultural and political factors. |
| Abstractor: | As Provided |
| Entry Date: | 2022 |
| Accession Number: | EJ1337724 |
| Database: | ERIC |
| Abstract: | Purpose: The purpose of this paper is to identify workforce skills that protect an occupation from elimination due to automation technology. Design/methodology/approach: The 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. Findings: The authors find that communication, interpersonal relationship management and decision-making skills are most important in occupations that are resistant to automation. Research limitations/implications: The 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/value: The authors discover that automation is likely to be a global phenomenon that can only be slightly mitigated by cultural and political factors. |
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| ISSN: | 2042-3896 |
| DOI: | 10.1108/HESWBL-01-2021-0003 |