Sustainability Modelling for Employment-focused Training Ecosystems for Young Adults with Disabilities
DOI:
https://doi.org/10.6000/2292-2598.2024.12.04.6Keywords:
Neurodiversity, sustainable employment, digital skilling, gig economy, assistive technology, 5D clarity processAbstract
Background: Neurodivergent young adults face significant employment challenges globally, with unemployment rates reaching 80% in India. This study examines an innovative employment-focused training ecosystem for neurodivergent individuals, incorporating technological interventions and a gig economy model. Neurodivergent individuals are those whose brain functions differently in one or more ways than is considered standard or typical.
Methods: A mixed-methods approach was employed, combining quantitative analysis of program outcomes with qualitative insights from stakeholders. The study utilized technology interventions for skill assessment, implemented a 5D clarity process-based training curriculum, and integrated a gig economy framework.
Results: The study demonstrated notable success in employment outcomes, with a significant proportion of participants securing work within months of completion. Participants reported substantial gains in digital skills acquisition. Technological interventions for assessments revealed unique strengths in individuals that were not apparent through traditional methods. The gig economy model showed promise in providing flexible, suitable employment options for neurodivergent individuals.
Conclusions: The innovative ecosystem demonstrates significant potential in creating sustainable employment opportunities for neurodivergent individuals, addressing key gaps in traditional training and employment models.
References
World Health Organization. World report on disability. Geneva: WHO 2011.
Disabled Persons' Association (DPA) India. Employment status of persons with disabilities in India: Annual report 2020.
Hurley-Hanson AE, Giannantonio CM, Griffiths, AJ. Autism in the workplace: Creating positive employment and career outcomes for Generation A. Palgrave Macmillan 2020. https://doi.org/10.1007/978-3-030-29049-8
Singal N. Challenges and opportunities in disability research in India. In Disability in the Global South 2019; 247-261 Springer.
Lindsay S, Cagliostro E, Albarico, Mortaji N, Karon L. A systematic review of the benefits of hiring people with disabilities. Journal of Occupational Rehabilitation 2018; 28(4): 634-655. https://doi.org/10.1007/s10926-018-9756-z
Flower RL, Hedley D, Spoor JR, Dissanayake C. An alternative pathway to employment for autistic job-seekers: a case study of a training and assessment program targeted to autistic job candidates. Journal of Vocational Education & Training 2019; 71(3); 407-428. https://doi.org/10.1080/13636820.2019.1636846
Krzeminska A, Austin RD, Bruyère SM, Hedley D. The advantages and challenges of neurodiversity employment in organizations. Journal of Management & Organization 2019; 25(4): 453-463. https://doi.org/10.1017/jmo.2019.58
Remington A, Fairnie J. A sound advantage: Increased auditory capacity in autism. Cognition 2017; 166: 459-465. https://doi.org/10.1016/j.cognition.2017.04.002
Hendrickx S. The workplace and social skills. In Asperger syndrome and employment: What people with Asperger syndrome really really want. Jessica Kingsley Publishers 2009; pp. 51-66.
Morris MR, Begel A, Wiedermann B. Understanding the challenges faced by neurodiverse software engineering employees: Towards a more inclusive and productive technical workforce. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility 2015; 173-184. https://doi.org/10.1145/2700648.2809841
Patton E. Autism, attributions and accommodations: Overcoming barriers and integrating a neurodiverse workforce. Personnel Review 2019; 48(4): 915-934. https://doi.org/10.1108/PR-04-2018-0116
Nicholas DB, Mitchell W, Dudley C, Clarke M, Zulla R. An ecosystem approach to employment and autism spectrum disorder. Journal of Autism and Developmental Disorders 2018; 48(1): 264-275. https://doi.org/10.1007/s10803-017-3351-6
Hedley D, Uljarević M, Cameron L, Halder S, Richdale A, Dissanayake C. Employment programs and interventions targeting adults with autism spectrum disorder: A systematic literature review. Autism 2017; 21(8): 929-941. https://doi.org/10.1177/1362361316661855
Bölte S, Golan O, Goodwin MS, Zwaigenbaum L. What can innovative technologies do for autism spectrum disorders? Autism 2010; 14(3): 155-159. https://doi.org/10.1177/1362361310365028
Rashid M, Hodgetts S, & Nicholas D. Building employer capacity to support meaningful employment for persons with developmental disabilities: A grounded theory study of employment support perspectives. Journal of Autism and Developmental Disorders 2017; 47(11): 3510-3519. https://doi.org/10.1007/s10803-017-3267-1
Thorpe D, McKinlay M, Richards J, Sang K, Stewart ME. The Lived Experience of Autistic Adults in Employment: A Systematic Search and Synthesis. Autism in Adulthood 2024. https://doi.org/10.1089/aut.2022.0114
Singer J. Why can't you be normal for once in your life? From a problem with no name to the emergence of a new category of difference. Disability Discourse 1999; 59-70.
Brooke J, Jenson N. Neurodiversity: The New Normal. In The Palgrave Handbook of Workplace Well-being. Palgrave Macmillan, Cham 2019; pp. 1-17.
Lorenz T, Frischling C, Cuadros R, Heinitz K. Autism and overcoming job barriers: Comparing job-related barriers and possible solutions in and outside of autism-specific employment. PloS One 2016; 11(1): e0147040. https://doi.org/10.1371/journal.pone.0147040
Hayward SM, McVilly KR, Stokes MA. Challenges for females with high functioning autism in the workplace: a systematic review. Disability and Rehabilitation 2018; 40(3): 249-258. https://doi.org/10.1080/09638288.2016.1254284
Austin RD, Pisano GP. Neurodiversity as a competitive advantage. Harvard Business Review 2017; 95(3): 96-103
Wood AJ, Graham M, Lehdonvirta V, Hjorth I. Good gig, bad gig: autonomy and algorithmic control in the global gig economy. Work, Employment and Society 2019; 33(1): 56- 75. https://doi.org/10.1177/0950017018785616
Graham M, Hjorth I, Lehdonvirta V. Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods. Transfer: European Review of Labour and Research 2017; 23(2): 135-162. https://doi.org/10.1177/1024258916687250
Kasmaee S, Friede S, Nardini G, Cappa F. Gig work: A systematic literature review and research agenda. Journal of Business Research 2023; 158: 113657.
Wolpaw JR, Wolpaw EW. (Eds.). Brain-computer interfaces: principles and practice. Oxford University Press 2012. https://doi.org/10.1093/acprof:oso/9780195388855.001.0001
Lazarou I, Nikolopoulos S, Petrantonakis PC, Kompatsiaris I, Tsolaki M. EEG-based brain-computer interfaces for communication and rehabilitation of people with motor impairment: a novel approach of the 21st century. Frontiers in Human Neuroscience 2018; 12: 14. https://doi.org/10.3389/fnhum.2018.00014
Pinheiro-Chagas P, Piazza M, Dehaene S. Decoding the processing stages of mental arithmetic with magnetoencephalography. Cortex 2019; 114: 124-139. https://doi.org/10.1016/j.cortex.2018.07.018
Chaudhary U, Xia B, Silvoni S, Cohen LG, Birbaumer N. Brain–computer interface–based communication in the completely locked-in state. PLoS biology 2017; 15(1): e1002593. https://doi.org/10.1371/journal.pbio.1002593
Chavarriaga R, Fried-Oken M, Kleih S, Lotte F, Scherer R. Heading for new shores! Overcoming pitfalls in BCI design. Brain-Computer Interfaces 2017; 4(1-2): 60-73. https://doi.org/10.1080/2326263X.2016.1263916
Lotte F, Bougrain L, Cichocki A, Clerc M, Congedo M, Rakotomamonjy A, Yger F. A review of classification algorithms for EEG-based brain–computer interfaces: A 10 year update. Journal of neural engineering 2018; 15(3): 031005. https://doi.org/10.1088/1741-2552/aab2f2
Musk E, Neuralink. An integrated brain-machine interface platform with thousands of channels. Journal of medical Internet Research 2019; 21(10): e16194. https://doi.org/10.2196/16194
United Nations. Transforming our world: The 2030 agenda for sustainable development 2015.
Tardi R, Njelesani J. Disability and the post-2015 development agenda. Disability and Rehabilitation 2015; 37(16): 1496-1500. https://doi.org/10.3109/09638288.2014.972589
Sachs JD. From millennium development goals to sustainable development goals. The Lancet 2012; 379(9832): 2206-2211. https://www.thelancet.com/journals/ lancet/article/PIIS0140-6736(12)60685-0/abstract
Roux AM, Shattuck PT, Rast JE, Rava JA, Anderson KA. National autism indicators report: Transition into young adulthood. Philadelphia, PA: Life Course Outcomes Research Program, AJ Drexel Autism Institute, Drexel University 2015.
Emerson E, Hatton C. Addressing the social determinants of health through inclusive employment. International Journal of Environmental Research and Public Health 2022; 19(11): 6482.
Ohl A, Grice Sheff M, Little S, Nguyen J, Paskor K, Zanjirian A. Predictors of employment status among adults with Autism Spectrum Disorder. Work 2017; 56(2): 345-355. https://doi.org/10.3233/WOR-172492
Creswell JW, Clark VLP. Designing and conducting mixed methods research. Sage publications 2017.
Cooperrider DL, Whitney D, Stavros JM. Appreciative inquiry handbook: For leaders of change. Berrett-Koehler Publishers 2008.
van Laar E, van Deursen AJ, van Dijk JA, de Haan J. Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review. Sage Open 2020; 10(1): 2158244019900176. https://doi.org/10.1177/2158244019900176
Petriglieri G, Ashford SJ, Wrzesniewski A. Agony and ecstasy in the gig economy: Cultivating holding environments for precarious and personalized work identities. Administrative Science Quarterly 2019; 64(1): 124-170. https://doi.org/10.1177/0001839218759646
Bury SM, Hedley D, Uljarević M, Gal E. The autism advantage at work: A critical and systematic review of current evidence. Research in Developmental Disabilities 2020; 105: 103750. https://doi.org/10.1016/j.ridd.2020.103750
Parsons S, Yuill N, Good J, Brosnan M. 'Whose agenda? Who knows best? Whose voice?' Co-creating a technology research roadmap with autism stakeholders. Disability & Society 2020; 35(2): 201-234. https://doi.org/10.1080/09687599.2019.1624152
Scott M, Milbourn B, Falkmer M, Black M, Bölte S, Halladay, A, Girdler S. Factors impacting employment for people with autism spectrum disorder: A scoping review. Autism 2019; 23(4): 869-901. https://doi.org/10.1177/1362361318787789
Mostafa M. Designing for autism: an ASPECTSS™ postoccupancy evaluation of learning environments. International Journal of Architectural Research: ArchNet-IJAR 2021; 15(3): 774-790.
Goldfarb Y, Gal E, Golan O. A conflict of interests: A motivational perspective on special interests and employment success of adults with ASD. Journal of Autism and Developmental Disorders 2021; 51(6): 1844-1858.
Hedley D, Uljarević M, Bury SM, Dissanayake C. Predictors of mental health and well-being in employed adults with autism spectrum disorder at 12-month follow-up. Autism Research 2019; 12(3): 482-494. https://doi.org/10.1002/aur.2064
World Economic Forum. The Future of Jobs Report 2023. Geneva: World Economic Forum 2023.
den Houting J. Neurodiversity: An insider's perspective. Autism 2019; 23(2): 271-273. https://doi.org/10.1177/1362361318820762
Pisano GP, Austin RD. The Neurodiversity Dividend: Reframing Workforce Challenges as Opportunities for Organizational Growth. Harvard Business School Working 2022; Paper, No. 23-006
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