The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Models of technology diffusion
Overview
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Citations
Cites
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
On the Persistence of Old Techniques: The Case of North American Wooden Shipbuilding
Harley, C. K. (1973) · The Journal of Economic History · doi:10.1017/s0022050700076658 · Cited by 40
Cited by
The Rapid Adoption of Data-Driven Decision-Making
Brynjolfsson, E., & McElheran, K. (2016) · American Economic Review · doi:10.1257/aer.p20161016 · Cited by 843
Coordinating and competing in ecosystems: How organizational forms shape new technology investments
Kapoor, R., & Lee, J. M. (2013) · Strategic Management Journal · doi:10.1002/smj.2010 · Cited by 502
Rodríguez-Espíndola, O., Chowdhury, S., Dey, P. K., Albores, P., & Emrouznejad, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121562 · Cited by 279
Evolving the future: Toward a science of intentional change
Wilson, D. S., Hayes, S. C., Biglan, A., & Embry, D. D. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13001593 · Cited by 255
Demand Heterogeneity in Platform Markets: Implications for Complementors
Rietveld, J., & Eggers, J. P. (2018) · Organization Science · doi:10.1287/orsc.2017.1183 · Cited by 221
Climate politics, metaphors and the fractal carbon trap
Bernstein, S., & Hoffmann, M. (2019) · Nature Climate Change · doi:10.1038/s41558-019-0618-2 · Cited by 147
Wu, W., Zhai, H., & Holubnyak, E. (2024) · Nature Communications · doi:10.1038/s41467-024-50090-w · Cited by 110
Overcoming barriers to the adoption of climate-friendly practices in agriculture
(2017) · OECD Food, Agriculture and Fisheries Papers · doi:10.1787/97767de8-en · Cited by 80
Constraints on global temperature target overshoot
Ricke, K. L., Millar, R. J., & MacMartin, D. G. (2017) · Scientific Reports · doi:10.1038/s41598-017-14503-9 · Cited by 63
Czaja, S. J., Boot, W. R., Charness, N., A. Rogers, W., Sharit, J., Fisk, A. D., Lee, C. C., & Nair, S. N. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2014.11.004 · Cited by 58
The spread of technological innovations: effects of psychology, culture and policy interventions
Tverskoi, D., Babu, S., & Gavrilets, S. (2022) · Royal Society Open Science · doi:10.1098/rsos.211833 · Cited by 29
Xu, J., & Bi, Y. (2024) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4064623 · Cited by 7
Metadata
- Authors
- Geroski, P. A.
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2000-04
- Volume
- 29
- Issue
- 4-5
- Pages
- 603-625
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W2009884847
- Cited by
- 1,550
- References
- 2
- FWCI
- 47.42
- 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.
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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.
