Automation, skills use and training:
This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PI...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2018
|
Schriftenreihe: | OECD Social, Employment and Migration Working Papers
|
Schlagworte: | |
Online-Zugang: | kostenfrei |
Zusammenfassung: | This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts' discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results. The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities |
Beschreibung: | 1 Online-Ressource (124 Seiten) |
DOI: | 10.1787/2e2f4eea-en |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV047935062 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220413s2018 xx o|||| 00||| eng d | ||
024 | 7 | |a 10.1787/2e2f4eea-en |2 doi | |
035 | |a (ZDB-13-SOC)061271977 | ||
035 | |a (OCoLC)1312686073 | ||
035 | |a (DE-599)BVBBV047935062 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-384 |a DE-91 |a DE-473 |a DE-824 |a DE-29 |a DE-739 |a DE-355 |a DE-20 |a DE-1028 |a DE-1049 |a DE-188 |a DE-521 |a DE-861 |a DE-898 |a DE-92 |a DE-573 |a DE-19 | ||
100 | 1 | |a Nedelkoska, Ljubica |e Verfasser |4 aut | |
245 | 1 | 0 | |a Automation, skills use and training |c Ljubica Nedelkoska and Glenda Quintini |
264 | 1 | |a Paris |b OECD Publishing |c 2018 | |
300 | |a 1 Online-Ressource (124 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a OECD Social, Employment and Migration Working Papers | |
520 | |a This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts' discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results. The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities | ||
650 | 4 | |a Employment | |
650 | 4 | |a Social Issues/Migration/Health | |
700 | 1 | |a Quintini, Glenda |4 ctb | |
856 | 4 | 0 | |u https://doi.org/10.1787/2e2f4eea-en |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-13-SOC | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033316556 |
Datensatz im Suchindex
_version_ | 1818806082117566464 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Nedelkoska, Ljubica |
author2 | Quintini, Glenda |
author2_role | ctb |
author2_variant | g q gq |
author_facet | Nedelkoska, Ljubica Quintini, Glenda |
author_role | aut |
author_sort | Nedelkoska, Ljubica |
author_variant | l n ln |
building | Verbundindex |
bvnumber | BV047935062 |
collection | ZDB-13-SOC |
ctrlnum | (ZDB-13-SOC)061271977 (OCoLC)1312686073 (DE-599)BVBBV047935062 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1787/2e2f4eea-en |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV047935062</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220413s2018 xx o|||| 00||| eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/2e2f4eea-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-13-SOC)061271977</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1312686073</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047935062</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-19</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Nedelkoska, Ljubica</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Automation, skills use and training</subfield><subfield code="c">Ljubica Nedelkoska and Glenda Quintini</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (124 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">OECD Social, Employment and Migration Working Papers</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts' discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results. The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Employment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Social Issues/Migration/Health</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Quintini, Glenda</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1787/2e2f4eea-en</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033316556</subfield></datafield></record></collection> |
id | DE-604.BV047935062 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:35:03Z |
indexdate | 2024-12-18T19:04:06Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033316556 |
oclc_num | 1312686073 |
open_access_boolean | 1 |
owner | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
owner_facet | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
physical | 1 Online-Ressource (124 Seiten) |
psigel | ZDB-13-SOC |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | OECD Publishing |
record_format | marc |
series2 | OECD Social, Employment and Migration Working Papers |
spelling | Nedelkoska, Ljubica Verfasser aut Automation, skills use and training Ljubica Nedelkoska and Glenda Quintini Paris OECD Publishing 2018 1 Online-Ressource (124 Seiten) txt rdacontent c rdamedia cr rdacarrier OECD Social, Employment and Migration Working Papers This study focuses on the risk of automation and its interaction with training and the use of skills at work. Building on the expert assessment carried out by Carl Frey and Michael Osborne in 2013, the paper estimates the risk of automation for individual jobs based on the Survey of Adult Skills (PIAAC). The analysis improves on other international estimates of the individual risk of automation by using a more disaggregated occupational classification and identifying the same automation bottlenecks emerging from the experts' discussion. Hence, it more closely aligns to the initial assessment of the potential automation deriving from the development of Machine Learning. Furthermore, this study investigates the same methodology using national data from Germany and United Kingdom, providing insights into the robustness of the results. The risk of automation is estimated for the 32 OECD countries that have participated in the Survey of Adult Skills (PIAAC) so far. Beyond the share of jobs likely to be significantly disrupted by automation of production and services, the accent is put on characteristics of these jobs and the characteristics of the workers who hold them. The risk is also assessed against the use of ICT at work and the role of training in helping workers transit to new career opportunities Employment Social Issues/Migration/Health Quintini, Glenda ctb https://doi.org/10.1787/2e2f4eea-en Verlag kostenfrei Volltext |
spellingShingle | Nedelkoska, Ljubica Automation, skills use and training Employment Social Issues/Migration/Health |
title | Automation, skills use and training |
title_auth | Automation, skills use and training |
title_exact_search | Automation, skills use and training |
title_exact_search_txtP | Automation, skills use and training |
title_full | Automation, skills use and training Ljubica Nedelkoska and Glenda Quintini |
title_fullStr | Automation, skills use and training Ljubica Nedelkoska and Glenda Quintini |
title_full_unstemmed | Automation, skills use and training Ljubica Nedelkoska and Glenda Quintini |
title_short | Automation, skills use and training |
title_sort | automation skills use and training |
topic | Employment Social Issues/Migration/Health |
topic_facet | Employment Social Issues/Migration/Health |
url | https://doi.org/10.1787/2e2f4eea-en |
work_keys_str_mv | AT nedelkoskaljubica automationskillsuseandtraining AT quintiniglenda automationskillsuseandtraining |