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

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

doi:10.3390/brainsci10090632

Cited by 13 publications

(5 citation statements)

References 49 publications

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“…Further implementing support systems in the working environment, by for example appointing a designated supervisor or peer mentor, has been identified as an important strategy to support employees with ASD to manage their workplace concerns and maximize their potential (Dreaver et al, 2020 ; Nicholas et al, 2018 ). Finally, hiring processes should be accommodated in order to detect strengths and work related competencies instead of only evaluating social and communication skills (Austin & Pisano, 2017 ; Griffiths et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey

Maslahati

Bachmann

Höfer

et al. 2021

J Autism Dev Disord

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International studies show disadvantages for adults with autism spectrum disorder (ASD) in the labor market. Data about their participation in the German labor market are scarce. The aim of this study was to examine the integration of adults with ASD in the German labor market in terms of education, employment and type of occupation by means of a cross-sectional-study, using a postal questionnaire. Findings show above average levels of education for adults with ASD compared to the general population of Germany and simultaneously, below average rates of employment and high rates of financial dependency. That indicates a poor integration of adults with ASD in the German labor market and emphasizes the need for vocational support policies for adults with ASD.

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Section: Discussionmentioning

confidence: 99%

How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey

Maslahati

Bachmann

Höfer

et al. 2021

J Autism Dev Disord

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“…Griffiths et al used machine learning to study the employment environment of people with autism and developed an online survey tool to assess employers' views on hiring job seekers with autism spectrum disorders. Cluster analysis shows that company structure, policies and practices, ideas, and employers' and employees' needs are crucial to determining who will successfully hire job seekers [10]. To sum up, there are some research gaps in previous studies, and insufficient attention is paid to the evaluation results of college students' innovation and entrepreneurship evaluation index system.…”

Section: Recent Related Workmentioning

confidence: 99%

The Use of Machine Learning Model in the Evaluation of College Students’ Employment and Entrepreneurship Level

2022

Wireless Communications and Mobile Computing

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This exploration aims to investigate the employment and entrepreneurship of college students. College students majoring in information and computing sciences in Xinxiang City are taken as the research object. A machine learning model for college students’ employment and entrepreneurship is established. Experiments are conducted using Python language and a machine learning framework. First, based on the employment and entrepreneurship indexes of college students in machine learning, the initial data of college students’ training quality evaluation are obtained from the educational administration system, library management system, college evaluation materials, and questionnaire survey. Then, the combination weighting method is adopted to determine the index weight, quantify the data, and modify the parameters of the data provided by the framework. The Gaussian kernel is selected as the kernel function, and the sample data used by the machine learning model are labeled. Finally, the sample data are employed to train and test the model. After the consistency test, the model reaches the optimal value after 7 iterations, with an error rate of 0.01 and an accuracy rate of 99%. The final error rate of entrepreneurship and innovation model based on machine learning is less than 0.1, which is consistent with the actual situation. The model can meet the requirements of college students’ entrepreneurship and employment evaluation. It proves that it can be applied to the research of college students’ employment and entrepreneurship and has certain theoretical guidance and practical significance for the evaluation of college students’ employment and entrepreneurship level.

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“…Researchers used a descriptive qualitative case study design that allowed for exploration of events or phenomena in a real-world context and from multiple sources, with the purpose of looking into the unique experience of the people's lives and interactions with their work environment in relation to their disability inclusion efforts (Creswell & Poth, 2018;Yin, 2018). The use of a case study design to investigate perceptions of the how and why for a businessled autism employment initiative is fitting given the limited literature capturing the continuum of people on the autism spectrum and the range of industries where they could be employed (Griffiths et al, 2020). The research team involved in data collection and analysis was comprised of six faculty and doctoral students across three universities in the United States.…”

Section: Methodsmentioning

confidence: 99%

Autism Initiative in the Industrial Sector: A Case Study

Phillips

Tansey

Lee

et al. 2023

Rehabilitation Counselors and Educators Journal

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As employers increasingly view disability as a form of diversity that can enrich the workplace and improve performance, a company in the industrial sector in the Midwest created an innovative initiative for employing an individual with autism spectrum disorder (ASD). A case study methodology was utilized to gain a better understanding of effective employer practices in hiring and integrating employees with ASD. The case study was framed by Yang and Konrad’s (2011) model of diversity in the workplace as well the Interactional Model of Cultural Diversity (IMCD; Cox, 1993), with specific focus on the four organizational contexts of the model, namely, organizational culture and acculturation processes, structural integration, informal integration, and institutional bias. Results indicate that the autism initiative had an overall positive impact on the company, with reports of stronger company performance and improved company climate. These results as well as others aligned with tenets of the theoretical framework implemented. Rehabilitation counselors can support employers looking to increase the disability diversity in their company through the theoretically supported insights of this case study. Doing so may help to address the current shortage of skilled workers in the workforce.

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

Cited by 13 publications

References 49 publications

How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey

How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey

The Use of Machine Learning Model in the Evaluation of College Students’ Employment and Entrepreneurship Level

Autism Initiative in the Industrial Sector: A Case Study

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