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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
Language: English
Authors: Jones, Michael (ORCID 0000-0003-1323-8491), Idrovo-Carlier, Sandra (ORCID 0000-0003-0922-4994), Rodriguez, Alfredo J. (ORCID 0000-0002-3991-2969)
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
FullText Text:
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  Data: Automation in Colombia: Assessing Skills Needed for the Future of Work
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  Data: <searchLink fieldCode="AR" term="%22Jones%2C+Michael%22">Jones, Michael</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-1323-8491">0000-0003-1323-8491</externalLink>)<br /><searchLink fieldCode="AR" term="%22Idrovo-Carlier%2C+Sandra%22">Idrovo-Carlier, Sandra</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-0922-4994">0000-0003-0922-4994</externalLink>)<br /><searchLink fieldCode="AR" term="%22Rodriguez%2C+Alfredo+J%2E%22">Rodriguez, Alfredo J.</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-3991-2969">0000-0002-3991-2969</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Higher+Education%2C+Skills+and+Work-based+Learning%22"><i>Higher Education, Skills and Work-based Learning</i></searchLink>. 2022 12(2):225-240.
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  Data: 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
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  Data: 16
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  Data: 2022
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Skills%22">Job Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Occupations%22">Occupations</searchLink><br /><searchLink fieldCode="DE" term="%22Employment%22">Employment</searchLink>
– Name: Subject
  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Colombia%22">Colombia</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
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  Data: 10.1108/HESWBL-01-2021-0003
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  Data: 2042-3896
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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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        Value: 10.1108/HESWBL-01-2021-0003
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      – Text: English
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        PageCount: 16
        StartPage: 225
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      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Automation
        Type: general
      – SubjectFull: Job Skills
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      – SubjectFull: Occupations
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      – SubjectFull: Employment
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      – SubjectFull: Colombia
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      – SubjectFull: United States
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      – TitleFull: Automation in Colombia: Assessing Skills Needed for the Future of Work
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            NameFull: Rodriguez, Alfredo J.
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