The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Firm-Specificity in Corporate Applied R&D
Abstract
Much corporate research and development (R&D) has characteristics that tie it strongly to the firm in which it takes place, and which may make the process of undertaking R&D or the outcome of the R&D difficult for other firms to duplicate perfectly. That is, the R&D is firm-specific. This is particularly true for more highly applied R&D, which tends to involve incremental technological change and often entails alterations and enhancements to existing firm assets, production processes, and products. The often firm-specific nature of corporate R&D tends to receive relatively little attention in the study of technological innovation. This article outlines the primary characteristics of firm-specificity in R&D, and discusses two interrelated consequences of such firm-specificity: (1) heterogeneity in the R&D applications of firms within an industry, and (2) increased ability of firms to earn returns to R&D (often termed “appropriability”). Both factors have important implications for firm strategy. Empirical evidence from the U.S. petroleum industry is presented that documents differences between firms in their R&D applications. The evidence is consistent with firm-specificity in R&D.
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
Core capabilities and core rigidities: A paradox in managing new product development
Leonard-Barton, D. (1992) · Strategic Management Journal · doi:10.1002/smj.4250131009 · Cited by 6,477
Cited by
Zahra, S. A., Ireland, R. D., & Hitt, M. A. (2000) · Academy of Management Journal · doi:10.2307/1556420 · Cited by 2,893
Schilke, O. (2014) · Strategic Management Journal · doi:10.1002/smj.2099 · Cited by 1,264
How dynamics, management, and governance of resource deployments influence firm‐level performance
Kor, Y. Y., & Mahoney, J. T. (2005) · Strategic Management Journal · doi:10.1002/smj.459 · Cited by 497
Metadata
- Authors
- Helfat, C. E.
- Venue
- Organization Science
- Published
- 1994-05
- Volume
- 5
- Issue
- 2
- Pages
- 173-184
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2164242109
- Cited by
- 294
- References
- 1
- FWCI
- 8.75
- 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: Firm-Specificity in Corporate Applied R&D. https://app.cochat.ai/papers/10.1287/orsc.5.2.173
- The paper
- Helfat, C. E. (1994). Firm-Specificity in Corporate Applied R&D. Organization Science. https://doi.org/10.1287/orsc.5.2.173
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.