The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
'History-friendly' models of industry evolution: the computer industry
Abstract
The model presented in this paper is the first of a new generation of evolutionary economic models: 'history-friendly' models. History-friendly models are formal models that aim to capture, in stylized form, qualitative and 'appreciative' theories about the mechanisms and factors affecting industry evolution, technological advance and institutional change put forth by empirical scholars of industrial economics, technological change, business organization and strategy, and other social scientists. In this paper we have analyzed the long-term evolution of the computer industry. In particular we have examined the emergence of a dominant firm in mainframes, the introduction of a major innovation (microprocessor), the opening up of a new market segment (personal computers), ad the competition there between newcomers and diversified old established firms. We have taken a body of verbal appreciative theorizing, developed a formal representation of that theory, and found that the formal version of that theory is consistent and capable of generating the stylized facts the appreciative theory purports to explain. Going through this analytic exercise has significantly sharpened our theoretical understanding of the key factors behind salient aspects of the evolution of the computer industry.
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Cites
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Cited by
Sectoral systems of innovation and production
Malerba, F. (2002) · Research Policy · doi:10.1016/s0048-7333(01)00139-1 · Cited by 2,733
Self-citationEvolutionary Theorizing in Economics
Nelson, R. R., & Winter, S. G. (2002) · Journal of Economic Perspectives · doi:10.1257/0895330027247 · Cited by 1,201
When are technologies disruptive? a demand‐based view of the emergence of competition
Adner, R. (2002) · Strategic Management Journal · doi:10.1002/smj.246 · Cited by 832
Sectoral systems of environmental innovation: An application to the French automotive industry
Oltra, V., & Saint Jean, M. (2009) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2008.03.025 · Cited by 503
Knowledge and Competitive Advantage: The Coevolution of Firms, Technology, and National Institutions
Murmann, J. P. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511510953 · Cited by 462
Metadata
- Authors
- Malerba, F.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-03-01
- Volume
- 8
- Issue
- 1
- Pages
- 3-40
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W1989039552
- Cited by
- 548
- References
- 11
- FWCI
- 27.02
- Type
- journal article
- Language
- en
- Open access
- closed
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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.