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...
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MDPI AG
2020-09-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/10/9/632 |
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doaj-537f226026e54d4fa1b5baa36da4e0022020-11-25T03:06:07ZengMDPI AGBrain Sciences2076-34252020-09-011063263210.3390/brainsci10090632Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and PracticesAmy Jane Griffiths0Amy Hurley Hanson1Cristina M. Giannantonio2Sneha Kohli Mathur3Kayleigh Hyde4Erik Linstead5Attallah College of Educational Studies, Chapman University, One University Drive, Orange, CA 92866, USAArgyros School of Business and Economics, Chapman University, One University Drive, Orange, CA 92866, USAArgyros School of Business and Economics, Chapman University, One University Drive, Orange, CA 92866, USAAttallah College of Educational Studies, Chapman University, One University Drive, Orange, CA 92866, USASchmid College of Science and Technology, Chapman University, One University Drive, Orange, CA 92866, USAFowler School of Engineering, Chapman University, One University Drive, Orange, CA 92866, USAAn 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.https://www.mdpi.com/2076-3425/10/9/632autism spectrum disordermachine learningemployment |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Amy Jane Griffiths Amy Hurley Hanson Cristina M. Giannantonio Sneha Kohli Mathur Kayleigh Hyde Erik Linstead |
| spellingShingle |
Amy Jane Griffiths Amy Hurley Hanson Cristina M. Giannantonio Sneha Kohli Mathur Kayleigh Hyde Erik Linstead Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices Brain Sciences autism spectrum disorder machine learning employment |
| author_facet |
Amy Jane Griffiths Amy Hurley Hanson Cristina M. Giannantonio Sneha Kohli Mathur Kayleigh Hyde Erik Linstead |
| author_sort |
Amy Jane Griffiths |
| title |
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_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_sort |
developing employment environments where individuals with asd thrive: using machine learning to explore employer policies and practices |
| publisher |
MDPI AG |
| series |
Brain Sciences |
| issn |
2076-3425 |
| publishDate |
2020-09-01 |
| 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. |
| topic |
autism spectrum disorder machine learning employment |
| url |
https://www.mdpi.com/2076-3425/10/9/632 |
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