The DOI matches its Crossref record.
Do Innovating Firms Outperform Non‐Innovators?*
Abstract
This paper tracks the experience of a number of innovative and non‐innovative large, quoted UK firms, looking for differences in performance associated with the production of major new innovations. Innovating firms are both more profitable and grow faster than non‐innovators, but the major difference in performance turns out to be cyclical: innovators profits and growth are much less cyclically sensitive than non‐innovators.
Overview
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Citations
Cited by
The entrepreneurial state: debunking public vs. private sector myths
(2014) · Choice Reviews Online · doi:10.5860/choice.51-3359 · Cited by 2,297
Metadata
- Authors
- Geroski, P., & Machin, S.
- Venue
- Business Strategy Review
- Publisher
- Wiley
- Published
- 1992-06
- Volume
- 3
- Issue
- 2
- Pages
- 79-90
- ISSN
- 0955-6419 (ISSN-L)
- 1467-8616
- OpenAlex
- W2032560666
- Cited by
- 232
- References
- 0
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Do Innovating Firms Outperform Non‐Innovators?*. https://app.cochat.ai/papers/10.1111/j.1467-8616.1992.tb00030.x
- The paper
- Geroski, P., & Machin, S. (1992). Do Innovating Firms Outperform Non‐Innovators?*. Business Strategy Review. https://doi.org/10.1111/j.1467-8616.1992.tb00030.x
Data sources
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.
