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Measuring innovative performance: is there an advantage in using multiple indicators?
Open accessAbstract
The innovative performance of companies has been studied quite extensively and for a long period of time. However, the results of many studies have not yet led to a generally accepted indicator of innovative performance or a common set of indicators. So far the variety in terms of constructs, measurements, samples, industries and countries has been substantial. This paper studies the innovative performance of a large international sample of nearly 1200 companies in four high-tech industries, using a variety of indicators. These indicators range from R&D inputs, patent counts and patent citations to new product announcements. The study establishes that a composite construct based on these four indicators clearly catches a latent variable ‘innovative performance’. However, our findings also suggest that the statistical overlap between these indicators is that strong that future research might also consider using any of these indicators to measure the innovative performance of companies in high-tech industries.
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Cites
Hitt, M. A., Hoskisson, R. E., & Kim, H. (1997) · Academy of Management Journal · doi:10.2307/256948 · Cited by 2,855
Patents and Innovation: An Empirical Study
Mansfield, E. (1986) · Management Science · doi:10.1287/mnsc.32.2.173 · Cited by 1,128
Cited by
Wurlod, J.-D., & Noailly, J. (2018) · Energy Economics · doi:10.1016/j.eneco.2017.12.012 · Cited by 561
Past Success and Creativity over Time: A Study of Inventors in the Hard Disk Drive Industry
Audia, P. G., & Goncalo, J. A. (2007) · Management Science · doi:10.1287/mnsc.1060.0593 · Cited by 435
Cheng, C., Ren, X., Wang, Z., & Yan, C. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.02.063 · Cited by 426
Kumaraswamy, A., Mudambi, R., Saranga, H., & Tripathy, A. (2012) · Journal of International Business Studies · doi:10.1057/jibs.2012.4 · Cited by 378
Adopt or innovate: Understanding technological responses to cap-and-trade
Calel, R. (2020) · American Economic Journal: Economic Policy · doi:10.1257/pol.20180135 · Cited by 166
Metadata
- Authors
- Hagedoorn, J., & Cloodt, M.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2003-09
- Volume
- 32
- Issue
- 8
- Pages
- 1365-1379
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W1973612587
- Cited by
- 1,564
- References
- 2
- FWCI
- 38.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
