The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Cluster life cycles--dimensions and rationales of cluster evolution
Open accessAbstract
We present a model that explains how the very cluster dynamics is both the driver for the movement of a cluster through a life cycle and the reason why this movement differs from the industry life cycle. The model is based on two key processes: the first is that the emergence, growth, decline and renewal of the cluster depend on the technological heterogeneity of firms; the second is that firms have a larger relative absorptive capacity, when they are in the same location, and thus especially localized learning changes heterogeneity: it leads to a technological convergence when learning takes place within the cluster and technological divergence, when learning takes place outside the cluster, yet in the same region. We derive hypothesis from the model regarding different phases of the cluster life cycle.
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Cites
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
(1993) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(93)92196-5 · Cited by 11,976
International Investment and International Trade in the Product Cycle
Vernon, R. (1966) · The Quarterly Journal of Economics · doi:10.2307/1880689 · Cited by 7,511
Clusters and the New Economics of Competition
Milošević, D. (2014) · Harvard business review · Cited by 4,856
Relative absorptive capacity and interorganizational learning
Lane, P. J., & Lubatkin, M. (1998) · Strategic Management Journal · doi:10.1002/(sici)1097-0266(199805)19:5<461::aid-smj953>3.0.co;2-l · Cited by 4,648
Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation
Bathelt, H., Malmberg, A., & Maskell, P. (2004) · Progress in Human Geography · doi:10.1191/0309132504ph469oa · Cited by 4,450
Sources, Procedures, and Microeconomic Effects of Innovation
Dosi, G. (2000) · Innovation, Organization and Economic Dynamics · doi:10.4337/9781782541851.00008 · Cited by 4,272
Patterns of Industrial Innovation
Abernathy, W. J., & Utterback, J. M. (1978) · Technology Review · Cited by 3,331
The reification of absorptive capacity: A critical review and rejuvenation of the construct
Lane, P. J., Koka, B. R., & Pathak, S. (2006) · Academy of Management Review · doi:10.5465/amr.2006.22527456 · Cited by 2,880
Cited by
Neffke, F., Henning, M., & Boschma, R. (2011) · Economic Geography · doi:10.1111/j.1944-8287.2011.01121.x · Cited by 1,463
Unrelated knowledge combinations: the unexplored potential for regional industrial path development
Grillitsch, M., Asheim, B., & Trippl, M. (2018) · Cambridge Journal of Regions, Economy and Society · doi:10.1093/cjres/rsy012 · Cited by 328
Clusters, entrepreneurial ecosystem co-creation, and appropriability: a conceptual framework
Pitelis, C. (2012) · Industrial and Corporate Change · doi:10.1093/icc/dts008 · Cited by 253
The Dutch Entrepreneurial Ecosystem
Stam, E. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2473475 · Cited by 122
Metadata
- Authors
- Menzel, M.-P., & Fornahl, D.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-07-22
- Volume
- 19
- Issue
- 1
- Pages
- 205-238
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W2050169643
- Cited by
- 677
- References
- 74
- FWCI
- 100.24
- 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.
