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Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices
An online survey instrument was developed to assess employers’ perspectives on hiring job candidates with Autism Spectrum Disorder (ASD). The investigators used K-means clustering to categorize companies in clusters based on their hiring practices related to individuals with ASD. This methodology al...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564237/ https://www.ncbi.nlm.nih.gov/pubmed/32932845 http://dx.doi.org/10.3390/brainsci10090632 |
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author | Griffiths, Amy Jane Hanson, Amy Hurley Giannantonio, Cristina M. Mathur, Sneha Kohli Hyde, Kayleigh Linstead, Erik |
author_facet | Griffiths, Amy Jane Hanson, Amy Hurley Giannantonio, Cristina M. Mathur, Sneha Kohli Hyde, Kayleigh Linstead, Erik |
author_sort | Griffiths, Amy Jane |
collection | PubMed |
description | An online survey instrument was developed to assess employers’ perspectives on hiring job candidates with Autism Spectrum Disorder (ASD). The investigators used K-means clustering to categorize companies in clusters based on their hiring practices related to individuals with ASD. This methodology allowed the investigators to assess and compare the various factors of businesses that successfully hire employees with ASD versus those that do not. The cluster analysis indicated that company structures, policies and practices, and perceptions, as well as the needs of employers and employees, were important in determining who would successfully hire individuals with ASD. Key areas that require focused policies and practices include recruitment and hiring, training, accessibility and accommodations, and retention and advancement. |
format | Online Article Text |
id | pubmed-7564237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75642372020-10-26 Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices Griffiths, Amy Jane Hanson, Amy Hurley Giannantonio, Cristina M. Mathur, Sneha Kohli Hyde, Kayleigh Linstead, Erik Brain Sci Article An online survey instrument was developed to assess employers’ perspectives on hiring job candidates with Autism Spectrum Disorder (ASD). The investigators used K-means clustering to categorize companies in clusters based on their hiring practices related to individuals with ASD. This methodology allowed the investigators to assess and compare the various factors of businesses that successfully hire employees with ASD versus those that do not. The cluster analysis indicated that company structures, policies and practices, and perceptions, as well as the needs of employers and employees, were important in determining who would successfully hire individuals with ASD. Key areas that require focused policies and practices include recruitment and hiring, training, accessibility and accommodations, and retention and advancement. MDPI 2020-09-11 /pmc/articles/PMC7564237/ /pubmed/32932845 http://dx.doi.org/10.3390/brainsci10090632 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Griffiths, Amy Jane Hanson, Amy Hurley Giannantonio, Cristina M. Mathur, Sneha Kohli Hyde, Kayleigh Linstead, Erik Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices |
title | Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices |
title_full | Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices |
title_fullStr | Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices |
title_full_unstemmed | Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices |
title_short | Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices |
title_sort | developing employment environments where individuals with asd thrive: using machine learning to explore employer policies and practices |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564237/ https://www.ncbi.nlm.nih.gov/pubmed/32932845 http://dx.doi.org/10.3390/brainsci10090632 |
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