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Developing Employment Environments Where Individuals with ASD Thrive: Using Machine Learning to Explore Employer Policies and Practices

Year: 2020

Type: article

Abstract: 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.

Source: Brain Sciences

DOI: 10.3390/brainsci10090632

Authors: Amy Jane Griffiths, Amy Hurley Hanson, Cristina M. Giannantonio, Sneha Kohli Mathur, Kayleigh Hyde, Erik Linstead

Institution: Chapman University

Language: English

Topic: Disability Education and Employment

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Decent work and economic growth, Reduced inequalities

Open Access status: gold

Estimated APC paid: $1,690