By Prof Geoff Pugh and Prof Jon Fairburn
Part 1 of this article can be found here
- Radicic, D., Pugh, G. and Douglas, D. (2018).
Promoting cooperation in innovation ecosystems: Evidence from European
traditional manufacturing SMEs, Small
Business Economics. Accepted 01-08-2018. https://doi.org/10.1007/s11187-018-0088-3
Abstract
We investigate whether public support for innovation
increases the propensity of SMEs in traditional manufacturing industries to
cooperate for innovation—in particular, for incremental innovation—with other
firms and external knowledge providers. Using data from seven EU regions, we
find that support programmes do not promote cooperation with competitors,
marginally promote cooperation with customers and suppliers and strongly
promote cooperation with knowledge providers. These findings suggest that, in
this case, the role of public policy is systems conforming rather than systems
creating. Innovation support programmes can assist SMEs in traditional
manufacturing industry to consolidate and/or extend their innovation ecosystems
beyond familiar business partners by promoting cooperation with both private
and public sector knowledge providers. Finally, our findings suggest that
evaluation studies of innovation support programmes should be designed to
capture not only input and/or output additionality but also behavioural and
systemic effects.
Keywords
SMEs; Traditional
manufacturing industry; Innovation ecosystems; Innovation policy; Cooperation
for innovation; Behavioural additionality
- Radicic, D., Douglas, D., Pugh, G. and Jackson, I.
(2018). Cooperation for innovation and its impact on technological and
non-technological innovations: empirical evidence for European SMEs in
traditional manufacturing industries, International
Journal of Innovation Management. Accepted 07-09-2018. https://doi.org/10.1142/S1363919619500464
Abstract.
Drawing on a
sample of small and medium-sized enterprises (SMEs) in traditional
manufacturing industries from seven EU regions, this study investigates how
cooperation with external organisations affects technological (product and
process) innovations and non-technological (organisational and marketing)
innovations as well as the commercial success of product and process
innovations (i.e., innovative sales). Our empirical strategy takes into account
that all four types of innovation are potentially complementary. Empirical
results suggest that cooperation increases firms’ innovativeness and yields
substantial commercial benefits. In particular, increasing the number of
cooperation partnerships has a positive impact on all measures of innovation
performance. We conclude that a portfolio approach to cooperation enhances
innovation performance and that innovation support programs should be
demand-led.
From the MAPEER project:
- Radicic, D. and Pugh, G (2016). R&D programmes, policy mix, and the “European Paradox”: evidence from European SMEs, Science and Public Policy, 44 ( 4 ) ( 2017 ), pp. 497 – 512. doi: 10.1093/scipol/scw077. First published online: October 2, 2016.
Abstract
Using a sample of small and medium-sized enterprises from
twenty-eight European countries, this study evaluates the input and output
additionality of national and European Union (EU) R&D programmes both
separately and in combination. Accordingly, we contribute to understanding the
effectiveness of innovation policy from the perspective of policy mix.
Empirical results are different for innovation inputs and outputs. For
innovation inputs, we found positive treatment effects from national and EU
programmes separately as well as complementary effects for firms supported from
both sources relative to firms supported only by national programmes. For
innovation outputs, we report no evidence of additionality from national
programmes and cannot reject crowding out from EU programmes. However, crowding
out from EU support is eliminated by combination with national support. These
findings have policy implications for the governance of R&D policy and
suggest that the European paradox—success in promoting R&D inputs but not
commercialisation—is not yet mitigated.
Key words: R&D support; SMEs; policy mix; input and
output additionality; European paradox
- Radicic, D. and Pugh, G. (2017). Performance
Effects of External Search Strategies in European Small and Medium-Sized
Enterprises. Journal of Small Business
Management, 55, 76-114. First
published on-line: Feb.15th 2017. http://dx.doi.org/10.1111/jsbm.12328
Abstract.
There is little evidence regarding the performance impact of
open innovation on small and medium-sized enterprises (SMEs), especially across
different firm-size categories and sectors. Using new survey data from 28
European countries, we specify ordered logit and generalized proportional odds
models to explore how seven individual external search strategies (knowledge
sources) affect SME innovation performance across different size categories and
sectors. While we find some consistently positive effects, in particular from
using customers as an external knowledge source, we also find that some search
strategies may not be beneficial. These findings suggest managerial and policy
implications.
- Radicic, D. (2020). National and international
R&D support programmes and technology scouting in European small and medium
enterprises. Journal of Science and Technology Policy Management 11(4), 455-482. https://doi.org/10.1108/JSTPM-10-2019-0091
Abstract
Purpose. This study aims to evaluate the effectiveness of
national and international R&D support programmes on firms’ technology
scouting, defined as firms’ use of external knowledge sources.
Design/methodology/approach. Drawing on a unique data set on
R&D support programmes for small and medium-sized enterprises (SMEs)
operating in both manufacturing and service sectors across 28 European countries,
this study reports treatment effects estimated by the copula-based endogenous
switching model, which takes into account unobserved firm heterogeneity.
Findings. Empirical results indicate that R&D support
programmes have heterogeneous effects on technology scouting. In particular, a
crowding-out effect arises in the case of informal sources of external
knowledge, whereas additional effects are reported for formal, strategic
sources.
Practical implications. For informal sources of external
knowledge, a random distribution of R&D measures would have a substantially
larger effect rather than using current selection criteria.
Originality/value. To the best of the authors’ knowledge,
this is the first study to explore the policy effects on technology scouting
applying a copula-based endogenous switching model. Most cross-sectional
empirical studies use matching estimators, although their main disadvantage is
the selection on observables.
Key words External knowledge search; Behavioural additionality; Copula-based endogenous switching model; European SMEs; Technology
Email g.t.pugh@staffs.ac.uk or jon.fairburn@staffs.ac.uk
Part 1 of this article can be found here