The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Combining Patent Law Expertise with R&D for Patenting Performance
Abstract
Drawing on the resource-based view (RBV), this paper examines how the combination or bundling of resources influences firm-patenting performance. We hypothesize that firm-patenting output depends not only on research and development (R&D) resources, but also on the patent law expertise combined with R&D inside the firm. We predict that the specialization of this in-house legal resource to R&D enables firms to identify patentable inventions more effectively and to convert them into patents. We also argue that there may be a positive complementary relationship between patent law expertise and R&D, such that patent law expertise will have a larger effect on patent output when it is deployed with matching higher levels of R&D. Furthermore, we predict that the effect of internal patent law expertise on firm patenting will be moderated by organization- and industry-level contextual factors. To test our hypotheses, we examine the patenting performance of a sample of Fortune 500 firms from 1990 to 2000. Results suggest that in-house patent law expertise is a significant predictor of firm-patenting performance; furthermore, this effect is moderated by the firm's level of top management team (TMT) patent law background and industry-patenting pressures. However, our hypothesis of a complementary relationship between patent law expertise and R&D was not supported; instead, we found evidence of a counterintuitive (weak) negative interaction between these two variables. Our findings shed light on how the combination of other resources with R&D affects firm-patenting performance, and advance the integration of complementary organizational perspectives with the RBV.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Teece, D. J. (1986) · Research Policy · doi:10.1016/0048-7333(86)90027-2 · Cited by 7,842
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
Patents and Innovation: An Empirical Study
Mansfield, E. (1986) · Management Science · doi:10.1287/mnsc.32.2.173 · Cited by 1,128
Cited by
The Institution-Based View as a Third Leg for a Strategy Tripod.
Peng, M. W., Sun, S. L., Pinkham, B., & Chen, H. (2009) · Academy of Management Perspectives · doi:10.5465/amp.2009.43479264 · Cited by 1,643
How can Blockchain technology support patent management? A systematic literature review
Denter, N. M., Seeger, F., & Moehrle, M. G. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102506 · Cited by 64
Client-related factors and collaboration between human assets
Mawdsley, J. K., Meyer-Doyle, P., & Chatain, O. (2022) · Organization Science · doi:10.1287/orsc.2021.1459 · Cited by 12
Metadata
- Authors
- Somaya, D., Williamson, I. O., & Zhang, X.
- Venue
- Organization Science
- Published
- 2007-12
- Volume
- 18
- Issue
- 6
- Pages
- 922-937
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2083167981
- Cited by
- 163
- References
- 4
- FWCI
- 12.67
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Combining Patent Law Expertise with R&D for Patenting Performance. https://app.cochat.ai/papers/10.1287/orsc.1070.0292
- The paper
- Somaya, D., Williamson, I. O., & Zhang, X. (2007). Combining Patent Law Expertise with R&D for Patenting Performance. Organization Science. https://doi.org/10.1287/orsc.1070.0292
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.