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Foundations of the Economics of Innovation: Theory, Measurement and Practice
Abstract
Measurement of technical change have focused on the characteristics of price and quantity whilst useful theories and reliable indicators of the quality of innovation in new products habe been sorely lacking. The author examines the theoretical foundations of the measurement of technical change and extends the analysis to consider the econometric and empirical perspective in the process of innovation. He outlines the key contributions to innovation research reviewing both the English-language literature and providing a very useful guide to the most important contributions in other languages. In the measurement of the quality of innovation, the techniques used in the author's contribution to new 'technometrics' are presented and explained in detail and be applied to the most important topical problems in innovation management.
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Citations
Cited by
Siguaw, J. A., Simpson, P. M., & Enz, C. A. (2006) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2006.00224.x · Cited by 544
From forecasting to foresight processes—new participative foresight activities in Germany
Cuhls, K. (2003) · Journal of Forecasting · doi:10.1002/for.848 · Cited by 377
Inventive progress measured by multi-stage patent citation analysis
von Wartburg, I., Teichert, T., & Rost, K. (2005) · Research Policy · doi:10.1016/j.respol.2005.08.001 · Cited by 332
Review and new evidence on composite innovation indicators for evaluating national performance
Grupp, H., & Schubert, T. (2010) · Research Policy · doi:10.1016/j.respol.2009.10.002 · Cited by 256
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Metadata
- Authors
- Grupp, H.
- Venue
- Edward Elgar Publishing eBooks
- Publisher
- Edward Elgar Publishing
- Published
- 1998-05-27
- OpenAlex
- W2511960745
- Cited by
- 161
- References
- 0
- FWCI
- 5.34
- Type
- book
- Language
- en
- Open access
- closed
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- Grupp, H. (1998). Foundations of the Economics of Innovation: Theory, Measurement and Practice. Edward Elgar Publishing eBooks. https://doi.org/10.4337/9781035303649
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.
