The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Markets for Technology and their Implications for Corporate Strategy
Open accessAbstract
Although market transactions for technologies, ideas, knowledge or information are limited by several well‐known imperfections, there is evidence that they have become more common than in the past. In this paper we analyze how the presence of markets for technology conditions the technology and corporate strategy of firms. The first and most obvious implication is that markets for technology increase the strategy space: firms can choose to license in the technology instead of developing it in‐house or they can choose to license out their technology instead of (or in addition to) investing in the downstream assets needed to manufacture and commercialize the goods. The implications for management include more proactive management of intellectual property, greater attention to external monitoring of technologies, and organizational changes to support technology licensing, joint‐ventures and acquisition of external technology. For entrepreneurial startups, markets for technology make a focused business model more attractive. At the industry level, markets for technology may lower barriers to entry and increase competition, with important implications for the firms' broader strategy as well.
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
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Credit Rationing in Markets with Imperfect Information
Stiglitz, J. E., & Weiss, A. (1981) · Columbia University · doi:10.7916/d8v12ft1 · Cited by 12,769
Teece, D. J. (1986) · Research Policy · doi:10.1016/0048-7333(86)90027-2 · Cited by 7,842
Innovation and Learning: The Two Faces of R & D
Cohen, W. M., & Levinthal, D. A. (1989) · The Economic Journal · doi:10.2307/2233763 · Cited by 7,530
Comparative Economic Organization: The Analysis of Discrete Structural Alternatives
Williamson, O. E. (1991) · Administrative Science Quarterly · doi:10.2307/2393356 · Cited by 7,151
Strategic Factor Markets: Expectations, Luck, and Business Strategy
Barney, J. B. (1986) · Management Science · doi:10.1287/mnsc.32.10.1231 · Cited by 5,548
Knowledge of the Firm and the Evolutionary Theory of the Multinational Corporation
Kogut, B., & Zander, U. (1993) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490248 · Cited by 3,967
Cited by
Open innovation in SMEs: Trends, motives and management challenges
van de Vrande, V., de Jong, J. P. J., Vanhaverbeke, W., & de Rochemont, M. (2009) · Technovation · doi:10.1016/j.technovation.2008.10.001 · Cited by 2,184
Down with MNE-centric theories! Market entry and expansion as the bundling of MNE and local assets
Hennart, J.-F. (2009) · Journal of International Business Studies · doi:10.1057/jibs.2009.42 · Cited by 585
Free range startups? Market scope, academic founders, and the role of general knowledge in AI
Chattopadhyay, S., Honoré, F., & Won, S. (2025) · Strategic Management Journal · doi:10.1002/smj.3685 · Cited by 30
Metadata
- Authors
- Arora, A.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-06-01
- Volume
- 10
- Issue
- 2
- Pages
- 419-451
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W3122672724
- Cited by
- 565
- References
- 7
- FWCI
- 14.08
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.