The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Evolutionary Processes in Competitive Markets: Beyond the Product Life Cycle
Abstract
The traditional product life cycle framework has little to say about the competitive processes that accompany the evolution of a market. The first part of the article identifies the major shortcomings of the product life cycle. This analysis is used to establish the requirements for a more comprehensive model that incorporates both demand- and supply-side factors. The second part shows how concepts from population ecology theory can be adapted to satisfy these requirements. With this dynamic theory, specific propositions can be made about changes in competitive structure and performance as the market evolves.
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Citations
Cites
Competitive Strategy: Techniques for Analyzing Industries and Competitors
(1980) · Journal of Sustainable Competitive Intelligence · doi:10.24883/iberoamericanic.v2i2.38 · Cited by 16,592
Cited by
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Aldrich, H. E., & Martinez, M. A. (2001) · Entrepreneurship Theory and Practice · doi:10.1177/104225870102500404 · Cited by 596
Eng, T.-Y., & Quaia, G. (2009) · Industrial Marketing Management · doi:10.1016/j.indmarman.2008.01.003 · Cited by 82
Does hype create irreversibilities? Affective circulation and market investments in digital health
Geiger, S., & Gross, N. (2017) · Marketing Theory · doi:10.1177/1470593117692024 · Cited by 42
Metadata
- Authors
- Lambkin, M., & Day, G. S.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1989-07
- Volume
- 53
- Issue
- 3
- Pages
- 4-20
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2325509730
- Cited by
- 314
- References
- 1
- FWCI
- 11.88
- 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.
