La Trobe

An ecological systems model of employee experience in industry-led autism employment programmes

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posted on 2024-09-18, 05:22 authored by Simon BurySimon Bury, Rosslynn Zulla, Jennifer SpoorJennifer Spoor, Rebecca FlowerRebecca Flower, David B. Nicholas, Darren HedleyDarren Hedley

Industry-led employment programmes have emerged to transition autistic people into employment and meet industry labour needs. However, theoretical research is limited in this area, often failing to appreciate the influence of the broader employment ecosystem. In this study, we interviewed 33 autistic employees (n = 29 males, Mage = 29.00 years) from two industry-led employment programmes regarding their experience of the programme’s supports, relationships and impact. We used qualitative content analysis to identify five themes: (1) working involves multiple job tasks that evolve as the employment context changes; (2) workplace relations are diverse and shaped by the type of work and the work environment; (3) workplace needs evolve as autistic individuals navigate the work environment; (4) developing a professional identity in the workplace through mastery and integration; and (5) recommendations for the development of supportive workplace environments for autistic individuals. We describe the way that factors within (e.g. training) and outside the two employment programmes changed and interacted over time to contribute to the participant’s work experience and professional identity. Building on ecological systems theory, our unique contribution to the literature is a new model capturing individual and workplace factors that contribute to the work experience of autistic people who participate in industry employment programmes. 

Funding

This work was supported by the La Trobe University Building Health Communities Research Focus Area Collaboration Ready Grant #2000004415 awarded to D.H.

History

Publication Date

2024-06-01

Journal

Autism

Volume

28

Issue

6

Pagination

14p. (p. 1457-1470)

Publisher

Sage

ISSN

1362-3613

Rights Statement

© The Author(s) 2024. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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