The changing role of science in the innovation process: From Queen to Cinderella?

Caraça, João; Lundvall, Bengt‐Åke; Mendonça, Sandro

doi:10.1016/j.techfore.2008.08.003

Cited by 156 publications

(103 citation statements)

References 12 publications

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“…Nearly a quarter of a century has passed since this seminal conference. Over this period, much evidence has been produced on the relevance of loops, interactions, connections and feed-backs from the different stages of knowledge development (Caraça et al, 2009). …”

Section: Three Implicationsmentioning

confidence: 99%

The retreat of public research and its adverse consequences on innovation

Archibugi

Filippetti

2018

Technological Forecasting and Social Change

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Does it matter whether research is conducted by the private business rather than in universities or government research centres? While most of the attention of science and innovation policy in the last decades has explored the relevance of the interconnections between public and business players in enhancing knowledge-based societies, a major trend has been ignored: both the quota of public R&D and its share over the total R&D investment has shrunk in most OECD countries. As a result, a larger fraction of knowledge is today generated in the private sector. We argue that this is a major problem since public research and private research differ along a number of characteristics, e.g. public access, potential for future technological innovations, criteria of resource allocation. This trend can have adverse implications for long-term innovation and economic welfare in our societies. Through the lens of the public goods theory and of the sector of funding and execution of R&D for the period 1981-2012 we try to explain why.

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Section: Three Implicationsmentioning

confidence: 99%

The retreat of public research and its adverse consequences on innovation

Archibugi

Filippetti

2018

Technological Forecasting and Social Change

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“…(Caraça et al, 2009) (Figure 3) This model "has representational purposes and not representative ones, i.e. it does not assume that all factors have to be in place for innovation to be realised and successful.…”

Section: Figure 1: Linear Models Of Innovationmentioning

confidence: 99%

Recent Economic Theorising on Innovation: Lessons for Analysing Social Innovation

Havas

2016

SSRN Journal

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“…This latter one has then been extended into the networked model of innovation, a recent, highly sophisticated version of which is called the multi-channel interactive learning model. (Caraça et al, 2009). …”

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confidence: 99%

Comparative Analysis of Policy-Mixes of Research and Innovation Policies in Central and Eastern European Countries

et al. 2015

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Observing the CEE members of the EU (EU10 countries) from a distance, they certainly used to share major structural similarities given their historical legacies, as well as certain 'unifying' effects of their transition to market economy and democracy. Yet, a closer look reveals important elements of diversity in (a) the structure of their national innovation system, (b) the direction of recent structural changes, (c) innovation performance, and (d) patterns of business-academia collaboration. Given this diversity one would assume that fairly different needs are identified in the EU10 countries, necessitating differentiated, 'tailored' policy responses. Yet, these countries follow the same STI policy rationale, namely the market failure argument, which itself can be seen as a unifying force. Actually, this is not unique to the EU10 countries: the science-push model of innovation is still highly influential in the STI policy circles both at the level of the EC and the member states, despite a rich set of research insights stressing the importance of non-R&D types of knowledge in innovation processes.

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The changing role of science in the innovation process: From Queen to Cinderella?

Cited by 156 publications

References 12 publications

The retreat of public research and its adverse consequences on innovation

The retreat of public research and its adverse consequences on innovation

Recent Economic Theorising on Innovation: Lessons for Analysing Social Innovation

Comparative Analysis of Policy-Mixes of Research and Innovation Policies in Central and Eastern European Countries

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