Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices.
autism spectrum disorder
employment
machine learning
Journal
Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646
Informations de publication
Date de publication:
11 Sep 2020
11 Sep 2020
Historique:
received:
27
06
2020
revised:
17
08
2020
accepted:
09
09
2020
entrez:
16
9
2020
pubmed:
17
9
2020
medline:
17
9
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32932845
pii: brainsci10090632
doi: 10.3390/brainsci10090632
pmc: PMC7564237
pii:
doi:
Types de publication
Journal Article
Langues
eng
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