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Cited by 366

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

The impact of standards and regulation on innovation in uncertain markets

Open access
Blind, Knut, Petersen, Sören S., Riillo, Cesare A.F.·2017·Research Policy
DOI 10.1016/j.respol.2016.11.003
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Abstract

This study analyses the impact of formal standards and regulation on firms’ innovation efficiency, considering different levels of market uncertainty. We argue that formal standards and regulation have different effects, depending on the extent of market uncertainty derived from theoretical considerations about information asymmetry and regulatory capture. Our empirical analysis is based on the German Community Innovation Survey (CIS). The results show that formal standards lead to lower innovation efficiency in markets with low uncertainty, while regulations have the opposite effect. In cases of high market uncertainty, we observe that regulation leads to lower innovation efficiency, while formal standards have the reverse effect. Our results have important implications for the future application of both instruments, showing that their benefits heavily depend on the market environment.

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Metadata

Authors
Blind, K., Petersen, S. S., & Riillo, C. A. F.
Venue
Research Policy
Publisher
Elsevier BV
Published
2017-02
Volume
46
Issue
1
Pages
249-264
ISSN
0048-7333 (ISSN-L)
DOI
10.1016/j.respol.2016.11.003
OpenAlex
W2558063281
Cited by
366
References
51
FWCI
62.45
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The impact of standards and regulation on innovation in uncertain markets. https://app.cochat.ai/papers/10.1016/j.respol.2016.11.003
The paper
Blind, K., Petersen, S. S., & Riillo, C. A. F. (2017). The impact of standards and regulation on innovation in uncertain markets. Research Policy. https://doi.org/10.1016/j.respol.2016.11.003

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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.