The DOI matches its Crossref record.
Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model
Open accessAbstract
In this paper we set up a general duration model of technology adoption which incorporates the main factors discussed in the different demand side theories of diffusion of new process technologies. The model is applied to the data on diffusion of CNC in the UK engineering industry. It is found that while there is strong evidence for the rank and endogenous learning effects, there seems to be little evidence in support of the stock and order effects, as characterized by the game theoretic models.
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Cited by
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
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
Metadata
- Authors
- Karshenas, M., & Stoneman, P. L.
- Venue
- The RAND Journal of Economics
- Publisher
- Wiley
- Published
- 1993
- Volume
- 24
- Issue
- 4
- Pages
- 503
- ISSN
- 0741-6261 (ISSN-L)
- OpenAlex
- W3126096970
- Cited by
- 481
- References
- 0
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- green
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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.