
This thesis investigates the interaction among key innovation actors - government, industry, and academia - under the Living Without Limit scheme and its impact on the outcomes of the Assistive Technology (AT) policy. The study employs a mixed-methods approach, combining qualitative interviews with policymakers, industry representatives, and academic researchers, along with quantitative analysis of policy outcome data. Through a detailed examination of collaborative initiatives, funding mechanisms, regulatory frameworks and assistive technology transfer (ATT) processes, the research identifies the synergies and challenges that characterize the tripartite relationship. The findings reveal that effective collaboration among these actors significantly enhances the development and deployment of innovative assistive technologies through ATT processes, ultimately improving accessibility and quality of life for individuals with disabilities. However, the study also highlights areas where misalignment and communication gaps hinder AT policy effectiveness. Recommendations are provided for fostering a more cohesive and integrated approach to innovation in the AT sector, ensuring sustained progress and greater societal impact. This research contributes to the broader understanding of how multi-stakeholder engagement and technology transfer processes shape policy outcomes in the field of assistive technology.
Comparative government and politics, History and philosophy of engineering and technology, Social policy
Comparative government and politics, History and philosophy of engineering and technology, Social policy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
