Competence maps using agglomerative hierarchical clustering
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Knowledge management from a strategic planning point of view often requires having an accurate understanding of a firm’s or a nation’s competences in a given technological discipline. Knowledge maps have been used for the purpose of discovering the location, ownership and value of intellectual assets. The purpose of this article is to develop a new method for assessing national and firm-level competences in a given technological discipline. To achieve this goal, we draw a competence map by applying agglomerative hierarchical clustering on a sample of patents. Considering the top levels of the resulting dendrogram, each cluster represents one of the technological branches of nanotechnology and its children branches are those that are most technologically proximate. We also assign a label to each branch by extracting the most relevant words found in each of them. From the information about patents inventors’ cities, we are able to identify where the largest invention communities are located. Finally, we use information regarding patent assignees and identify the most productive firms. We apply our method to the case of the emerging and multidisciplinary Canadian nanotechnology industry.
KeywordsKnowledge mapping Innovation Citation networks analysis Data mining Agglomerative hierarchical clustering Vector space model Nanotechnology
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- Berry M. J., Linoff G. S. (2004) Data mining techniques for marketing sales and customer relationship management. Wiley, LondonGoogle Scholar
- Burt R. S. (1992) Structural holes: The social structure of competition. Harvard University Press, CambridgeGoogle Scholar
- CodePlex. (2011). http://nodexl.codeplex.com.
- David, P. A. (1985). Clio and the economics of QWERTY. The American Economic Review, 75(2), Papers and Proceedings of the Ninety-Seventh Annual Meeting of the American Economic Association, pp. 332–337.Google Scholar
- Fitzgibbons, K., & McNiven, C. (2006). Towards a nanotechnology statistical framework. In Blue sky indicators conference II.Google Scholar
- GoogleBlog. (2011). http://googleblog.blogspot.com/2011/04/patents-and-innovation.html.
- Grant, R. M. (1996) Toward a knowledge-based theory of the firm. Strategic Management Journal, 17, Special Issue: Knowledge and the Firm, pp. 109–122.Google Scholar
- Matlab. (2009). www.mathworks.com/products/matlab/.
- Nahapiet J., Ghoshal S. (1998) Social capital, intellectual capital, and the organizational advantage. The Academy of Management Review, 23(2): 242–266Google Scholar
- Nelson, R. R., & Winter, S. G. (1982). An evolutionary theory of economic change. Harvard University Press.Google Scholar
- Prahalad C. K., Hamel G. (1990) The core competence of the corporation. Harvard Business Review, 68(3): 79–91Google Scholar
- Rapid-I. (2011). http://rapid-i.com.
- Schmoch, U., Heinze, T., Hinze, S., & Rangnow, R. (2003). Mapping excellence in science and technology across Europe: Nanoscience and nanotechnology, Centre for Science and Technology Studies.Google Scholar
- USPTO. (2009). http://uspto.gov.
- Weiss S. M., Indurkhya N., Zhang T., Damerau F. J. (2005) Text mining: Predctive methods for analyzing unstructured information. Springer, BerlinGoogle Scholar