The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Conceptualizing and measuring capabilities: methodology and empirical application
Open accessAbstract
This paper attempts to operationalize and measure firm‐specific capabilities using an extant conceptualization in the resource‐based view (RBV) literature. Capabilities are conceived as the efficiency with which a firm employs a given set of resources (inputs) at its disposal to achieve certain objectives (outputs). We expand on extant theoretical literature on relative capabilities, by delineating the conditions that have to be met for relative capabilities to be measured non‐tautologically. We then proceed to suggest an estimation methodology, stochastic frontier estimation (SFE), that allows us to infer firm capabilities. We illustrate this technique with a sample of firms in the semiconductor industry. Our findings underscore the heterogeneity in R& D capability across firms in this industry, as well as the persistence in these capabilities over time. We also find that the market rewards high R& D capability firms, in that they show the highest average values of Tobin's q . Copyright © 2004 John Wiley & Sons, Ltd.
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Cites
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Crook, T. R., Todd, S. Y., Combs, J. G., Woehr, D. J., & Ketchen, D. J. (2011) · Journal of Applied Psychology · doi:10.1037/a0022147 · Cited by 1,205
Zhou, K. Z., Gao, G. Y., & Zhao, H. (2017) · Administrative Science Quarterly · doi:10.1177/0001839216674457 · Cited by 1,205
Drnevich, P. L., & Kriauciunas, A. P. (2011) · Strategic Management Journal · doi:10.1002/smj.882 · Cited by 681
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Metadata
- Authors
- Dutta, S., Narasimhan, O., & Rajiv, S.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 2004-12-22
- Volume
- 26
- Issue
- 3
- Pages
- 277-285
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W2001956398
- Cited by
- 507
- References
- 25
- FWCI
- 57.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
