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营造让自闭症谱系障碍患者蓬勃发展的就业环境:利用机器学习探索雇主政策与实践。

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

作者信息

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

机构信息

Attallah College of Educational Studies, Chapman University, One University Drive, Orange, CA 92866, USA.

Argyros School of Business and Economics, Chapman University, One University Drive, Orange, CA 92866, USA.

出版信息

Brain Sci. 2020 Sep 11;10(9):632. doi: 10.3390/brainsci10090632.

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.

摘要

开发了一种在线调查工具,以评估雇主对招聘患有自闭症谱系障碍(ASD)求职者的看法。研究人员使用K均值聚类法,根据公司与自闭症谱系障碍患者相关的招聘做法,将公司分类成不同的集群。这种方法使研究人员能够评估和比较成功招聘自闭症谱系障碍员工的企业与未成功招聘的企业的各种因素。聚类分析表明,公司结构、政策和做法、认知,以及雇主和员工的需求,对于确定谁能成功招聘自闭症谱系障碍患者很重要。需要重点制定政策和做法的关键领域包括招聘、培训、无障碍环境与便利设施,以及留用和晋升。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb0c/7564237/0368c76c8c96/brainsci-10-00632-g001.jpg

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