This research introduces a novel classification framework for Translational Assets (TAs) within the
Scottish Innovation ecosystem. Translational assets, distinct Research and Development (R&D)
organisations that bridge academia and industry by facilitating knowledge exchange, driving
innovation and promoting technology transfer, play a critical role in enhancing national innovation
capabilities. Despite their importance, the existing literature on TAs is notably sparse, particularly
concerning qualitative investigations that explore their unique operational modes and contextual
adaptability. Moreover, the lack of a comprehensive classification framework has led the
challenges in understanding and leveraging these organisations’ diverse roles and contribution
within the innovation ecosystem.
To address this gap, this study proposes a continuum-based classification framework that captures
the multifaced nature of TAs, moving beyond traditional discrete categories to better reflect the
diversity of these entities. The research adopts a qualitative methodology comprising a
comprehensive literature review, empirical analysis of 19 case studies conducted in Scotland and
in-depth interviews with key stakeholders across different TAs.
The findings reveal that while TAs in Scotland vary significantly in their size, structure, funding
sources, and organisational objectives, certain recurring patterns emerge, allowing for the
identification of five distinct TA models. These models range from "Demand-Led" assets
responding directly to industry needs to "Advanced Technology and Innovation" assets focusing
on high-tech, industry-aligned research. The final classification framework introduces multiple
dimensions, including organisational structure, funding model, stakeholder engagement, and
research focus, each positioned on a continuum to capture the flexible and evolving nature of TAs.
This thesis contributes to both theory and practice. Theoretically, it addresses the need for an
adaptable classification framework, overcoming limitations in past approaches, by introducing a
multidimensional, continuum-based approach. Practically, it offers a valuable tool for
policymakers, researchers, and industry leaders to better understand and strategically engage
with TAs, facilitating more effective resource allocation, policy development, and collaborative partnerships within the Scottish innovation landscape. The framework's potential applications
beyond Scotland, providing a foundation for comparative research across different regional and
national contexts, open up new avenues of exploration and inspire further research.
| Date of Award | 16 Apr 2025 |
|---|
| Original language | English |
|---|
| Awarding Institution | - University Of Strathclyde
|
|---|
| Sponsors | University of Strathclyde |
|---|
| Supervisor | Jillian MacBryde (Supervisor) & Jorn Mehnen (Supervisor) |
|---|