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A participatory approach to tracking system transformation in clusters and innovation ecosystems-Evolving practice in Sweden's Vinnväxt programme

Wise, Emily LU ; Eklund, Moa ; Smith, Madeline and Wilson, James (2022) In Research Evaluation 31(2). p.271-287
Abstract

For decades, cluster initiatives and funding programmes have been used as instruments of industrial and innovation policy-addressing system failures by strengthening linkages among actors, fostering innovation, and developing more effective innovation systems. More recently, a growing segment of these initiatives are also focused on driving system-level transformation and contributing to broader societal benefits. This segment is characterized by larger-scale and longer-Term strategic efforts involving a variety of stakeholders across different parts of society, aimed at contributing to addressing societal challenges. These characteristics are shared with the emerging frame of transformative innovation policy, which highlights the... (More)

For decades, cluster initiatives and funding programmes have been used as instruments of industrial and innovation policy-addressing system failures by strengthening linkages among actors, fostering innovation, and developing more effective innovation systems. More recently, a growing segment of these initiatives are also focused on driving system-level transformation and contributing to broader societal benefits. This segment is characterized by larger-scale and longer-Term strategic efforts involving a variety of stakeholders across different parts of society, aimed at contributing to addressing societal challenges. These characteristics are shared with the emerging frame of transformative innovation policy, which highlights the importance of embedded practices of learning and reflexivity to enable continuous monitoring of progress and inform and adapt the direction of systemic change processes-requiring new approaches to governance and evaluation. Despite deep experience with implementing cluster programmes and other systemic innovation policy instruments, practitioners still struggle with monitoring and evaluation. Current approaches focus on evidencing strengthened innovation (and economic effects) on the level of firms and research actors, and fail to capture contributions on the level of the broader system. This article presents an evolving approach for tracking system transformation in clusters and collaborative innovation initiatives. Through an interactive, co-development process with initiatives in the Swedish Vinnväxt programme, this research proposes a definition and set of system effect categories for cluster initiatives. It tests a participatory approach for tracking their contribution to system-level change over time, providing an initial case on which to build and apply in other transformative innovation programmes.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
cluster evaluation, collaborative innovation initiatives, innovation ecosystems, participatory evaluation approach, system-level effects, tracking system transformation
in
Research Evaluation
volume
31
issue
2
pages
17 pages
publisher
Oxford University Press
external identifiers
  • scopus:85130131360
ISSN
0958-2029
DOI
10.1093/reseval/rvac006
language
English
LU publication?
yes
id
8d20a59d-0c55-403b-93a2-a79017698570
date added to LUP
2022-07-14 15:07:47
date last changed
2024-01-18 08:40:49
@article{8d20a59d-0c55-403b-93a2-a79017698570,
  abstract     = {{<p>For decades, cluster initiatives and funding programmes have been used as instruments of industrial and innovation policy-addressing system failures by strengthening linkages among actors, fostering innovation, and developing more effective innovation systems. More recently, a growing segment of these initiatives are also focused on driving system-level transformation and contributing to broader societal benefits. This segment is characterized by larger-scale and longer-Term strategic efforts involving a variety of stakeholders across different parts of society, aimed at contributing to addressing societal challenges. These characteristics are shared with the emerging frame of transformative innovation policy, which highlights the importance of embedded practices of learning and reflexivity to enable continuous monitoring of progress and inform and adapt the direction of systemic change processes-requiring new approaches to governance and evaluation. Despite deep experience with implementing cluster programmes and other systemic innovation policy instruments, practitioners still struggle with monitoring and evaluation. Current approaches focus on evidencing strengthened innovation (and economic effects) on the level of firms and research actors, and fail to capture contributions on the level of the broader system. This article presents an evolving approach for tracking system transformation in clusters and collaborative innovation initiatives. Through an interactive, co-development process with initiatives in the Swedish Vinnväxt programme, this research proposes a definition and set of system effect categories for cluster initiatives. It tests a participatory approach for tracking their contribution to system-level change over time, providing an initial case on which to build and apply in other transformative innovation programmes.</p>}},
  author       = {{Wise, Emily and Eklund, Moa and Smith, Madeline and Wilson, James}},
  issn         = {{0958-2029}},
  keywords     = {{cluster evaluation; collaborative innovation initiatives; innovation ecosystems; participatory evaluation approach; system-level effects; tracking system transformation}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{271--287}},
  publisher    = {{Oxford University Press}},
  series       = {{Research Evaluation}},
  title        = {{A participatory approach to tracking system transformation in clusters and innovation ecosystems-Evolving practice in Sweden's Vinnväxt programme}},
  url          = {{http://dx.doi.org/10.1093/reseval/rvac006}},
  doi          = {{10.1093/reseval/rvac006}},
  volume       = {{31}},
  year         = {{2022}},
}