The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Empirical studies of innovation in the knowledge-driven economy
Open accessAbstract
This introduction to a special issue of EINT surveys a collection of ten papers that study various aspects of innovation and knowledge management and their impact on performance at the firm level for a number of countries.These studies have been conducted using data drawn from innovation surveys combined with data from a number of other sources.The issue illustrates the value of these surveys in improving our understanding of innovation in firms and raises a number of questions for future work in this area.
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Citations
Cites
Innovation and Learning: The Two Faces of R & D
Cohen, W. M., & Levinthal, D. A. (1989) · The Economic Journal · doi:10.2307/2233763 · Cited by 7,530
Appropriating the Returns from Industrial Research and Development
Levin, R. C., Klevorick, A. K., Nelson, R. R., Winter, S. G., Gilbert, R., & Griliches, Z. (1987) · Brookings Papers on Economic Activity · doi:10.2307/2534454 · Cited by 3,772
Cited by
Innovation and Productivity: Evidence from Six Latin American Countries
Crespi, G., & Zuniga, P. (2012) · World Development · doi:10.1016/j.worlddev.2011.07.010 · Cited by 554
Metadata
- Authors
- Hall, B. H., & Mairesse, J.
- Venue
- Economics of Innovation and New Technology
- Publisher
- Informa UK Limited
- Published
- 2006-06
- Volume
- 15
- Issue
- 4-5
- Pages
- 289-299
- ISSN
- 1043-8599 (ISSN-L)
- 1476-8364
- OpenAlex
- W2046875147
- Cited by
- 194
- References
- 2
- FWCI
- 44.63
- Type
- journal article
- Language
- en
- Open access
- green
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- Hall, B. H., & Mairesse, J. (2006). Empirical studies of innovation in the knowledge-driven economy. Economics of Innovation and New Technology. https://doi.org/10.1080/10438590500512760
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.