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AI-Assisted Hiring Process and Older Workers: An Exploratory Study
An increasing number of companies have adopted an artificial intelligence (AI) hiring system such as resume screening and/or AI-powered video interview. This study explored older adults’ attitudes toward AI and their intentions to apply for jobs based on AI-assisted hiring process. Data came from an...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743153/ http://dx.doi.org/10.1093/geroni/igaa057.2260 |
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author | Choi, Moon |
author_facet | Choi, Moon |
author_sort | Choi, Moon |
collection | PubMed |
description | An increasing number of companies have adopted an artificial intelligence (AI) hiring system such as resume screening and/or AI-powered video interview. This study explored older adults’ attitudes toward AI and their intentions to apply for jobs based on AI-assisted hiring process. Data came from an online survey in South Korea (N=123). Results showed an acceptable reliability of the scale of attitudes toward AI (Cronbach’s a = 0.72) and indicated no statistically significant differences in the attitudes toward AI across age groups (F(4,118) = 0.41, p = .80). However, a one-year increase in age was associated with a 5.8% decrease in the likelihood of decisions to apply for jobs based on AI-assisted hiring process after accounting for attitudes toward AI as well as socioeconomic status. The findings raise a concern about older workers’ constraints in job mobility as well as early retirement due to technological change in the hiring process. |
format | Online Article Text |
id | pubmed-7743153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77431532020-12-21 AI-Assisted Hiring Process and Older Workers: An Exploratory Study Choi, Moon Innov Aging Abstracts An increasing number of companies have adopted an artificial intelligence (AI) hiring system such as resume screening and/or AI-powered video interview. This study explored older adults’ attitudes toward AI and their intentions to apply for jobs based on AI-assisted hiring process. Data came from an online survey in South Korea (N=123). Results showed an acceptable reliability of the scale of attitudes toward AI (Cronbach’s a = 0.72) and indicated no statistically significant differences in the attitudes toward AI across age groups (F(4,118) = 0.41, p = .80). However, a one-year increase in age was associated with a 5.8% decrease in the likelihood of decisions to apply for jobs based on AI-assisted hiring process after accounting for attitudes toward AI as well as socioeconomic status. The findings raise a concern about older workers’ constraints in job mobility as well as early retirement due to technological change in the hiring process. Oxford University Press 2020-12-16 /pmc/articles/PMC7743153/ http://dx.doi.org/10.1093/geroni/igaa057.2260 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Choi, Moon AI-Assisted Hiring Process and Older Workers: An Exploratory Study |
title | AI-Assisted Hiring Process and Older Workers: An Exploratory Study |
title_full | AI-Assisted Hiring Process and Older Workers: An Exploratory Study |
title_fullStr | AI-Assisted Hiring Process and Older Workers: An Exploratory Study |
title_full_unstemmed | AI-Assisted Hiring Process and Older Workers: An Exploratory Study |
title_short | AI-Assisted Hiring Process and Older Workers: An Exploratory Study |
title_sort | ai-assisted hiring process and older workers: an exploratory study |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743153/ http://dx.doi.org/10.1093/geroni/igaa057.2260 |
work_keys_str_mv | AT choimoon aiassistedhiringprocessandolderworkersanexploratorystudy |