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Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D
Abstract
Wesley M. Cohen, Steven Klepper, Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D, The Review of Economics and Statistics, Vol. 78, No. 2 (May, 1996), pp. 232-243
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Citations
Cited by
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What percentage of innovations are patented? empirical estimates for European firms
Arundel, A., & Kabla, I. (1998) · Research Policy · doi:10.1016/s0048-7333(98)00033-x · Cited by 991
A Reflective Review of Disruptive Innovation Theory
Yu, D., & Hang, C. C. (2010) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2009.00272.x · Cited by 547
Artificial intelligence and industrial innovation: Evidence from German firm-level data
Rammer, C., Fernández, G. P., & Czarnitzki, D. (2022) · Research Policy · doi:10.1016/j.respol.2022.104555 · Cited by 489
Nieto, M. J., & SantamarÃa, L. (2010) · Journal of Small Business Management · doi:10.1111/j.1540-627x.2009.00286.x · Cited by 444
Metadata
- Authors
- Cohen, W. M., & Klepper, S.
- Venue
- The Review of Economics and Statistics
- Publisher
- JSTOR
- Published
- 1996-05
- Volume
- 78
- Issue
- 2
- Pages
- 232
- ISSN
- 0034-6535 (ISSN-L)
- OpenAlex
- W1969227989
- Cited by
- 1,181
- References
- 0
- FWCI
- 20.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D. https://app.cochat.ai/papers/10.2307/2109925
- The paper
- Cohen, W. M., & Klepper, S. (1996). Firm Size and the Nature of Innovation within Industries: The Case of Process and Product R&D. The Review of Economics and Statistics. https://doi.org/10.2307/2109925
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.
