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Cited by 280

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Demand, challenges, and innovation. Making sense of new trends in innovation policy

Open access
Boon, Wouter, Edler, Jakob·2018·Science and Public Policy

Abstract

In recent years, the traditional rationale for innovation policy has been expanded to more explicitly contribute to tackling societal challenges. There is broad agreement that demand should be at the core of challenge-oriented innovation policy. Nevertheless, demand and demand conditions are poorly understood and not yet in the focus of challenge-oriented innovation policy. This article conceptualises demand-oriented innovation policies and their links to societal challenges. We differentiate demand and need, and highlight different forms of demand articulation. Then, we characterise three ideal-typical policies that relate to demand: traditional innovation policy, sector-specific policy, and challenge-oriented policy. These three ideal-types are discussed focussing on output legitimacy, input legitimacy, and operational requirements. This discussion highlights the specific challenges and opportunities of demand-oriented innovation policies and allows to derive a set of recommendations to increase the effectiveness of such policies.

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Metadata

Authors
Boon, W., & Edler, J.
Venue
Science and Public Policy
Published
2018-02-28
Volume
45
Issue
4
Pages
435-447
ISSN
  • 0302-3427 (ISSN-L)
  • 1471-5430
OpenAlex
W2792853380
Cited by
280
References
3
FWCI
33.48
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Demand, challenges, and innovation. Making sense of new trends in innovation policy. https://app.cochat.ai/papers/10.1093/scipol/scy014
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Boon, W., & Edler, J. (2018). Demand, challenges, and innovation. Making sense of new trends in innovation policy. Science and Public Policy. https://doi.org/10.1093/scipol/scy014

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.