Perceived technology clusters and ownership of related technologies: the case of consumer electronics
AbstractWe contribute to the understanding of how technologies may be perceived to be part of technology clusters. The value added of the paper is both at a theoretical and empirical level. We add to the theoretical understanding of technology clusters by distinguishing between clusters in perceptions and clusters in ownership and by proposing a mechanism to explain the existence of clusters. Our empirical analysis combines qualitative and quantitative methods to investigate clusters of consumer electronics for a sample of Dutch consumers. We find that perceived clusters in consumer electronics are mostly determined by functional linkages and that perceived technology clusters are good predictors of ownership clusters, but only for less widely diffused products.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Utrecht University, Department of Innovation Studies in its series Innovation Studies Utrecht (ISU) working paper series with number 08-17.
Date of creation: Jun 2008
Date of revision: Jun 2008
Contact details of provider:
Web page: http://www.uu.nl/faculty/geosciences/EN/research/institutesandgroups/researchinstitutes/copernicusinstitute/research/Innovation/Pages/default.aspx
Technology clusters; consumer electronics; innovation;
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Moreau, C Page & Markman, Arthur B & Lehmann, Donald R, 2001. " "What Is It?" Categorization Flexibility and Consumers' Responses to Really New Products," Journal of Consumer Research, University of Chicago Press, vol. 27(4), pages 489-98, March.
- Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. " Constructive Consumer Choice Processes," Journal of Consumer Research, University of Chicago Press, vol. 25(3), pages 187-217, December.
- Mazursky, David & Vinitzky, Gideon, 2005. "Modifying consumer search processes in enhanced on-line interfaces," Journal of Business Research, Elsevier, vol. 58(10), pages 1299-1309, October.
- Herbert Simon & Lindsay McSweeney, 2010. "A Behavioral Model of Rational Choice," CPI Journal, Competition Policy International, vol. 6.
- Gatignon, Hubert & Robertson, Thomas S, 1985. " A Propositional Inventory for New Diffusion Research," Journal of Consumer Research, University of Chicago Press, vol. 11(4), pages 849-67, March.
- Gregan-Paxton, Jennifer & John, Deborah Roedder, 1997. " Consumer Learning by Analogy: A Model of Internal Knowledge Transfer," Journal of Consumer Research, University of Chicago Press, vol. 24(3), pages 266-84, December.
- Frank J. van Rijnsoever & Jacco Farla & Martin J. Dijst, 2009. "Consumer Car Preferences and Information Search Channels," Innovation Studies Utrecht (ISU) working paper series 09-07, Utrecht University, Department of Innovation Studies, revised Apr 2009.
- Frank J. van Rijnsoever & Carolina Castaldi, 2008. "Knowledge base, information search and intention to adopt innovation," Innovation Studies Utrecht (ISU) working paper series 08-02, Utrecht University, Department of Innovation Studies, revised Feb 2008.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Floortje Alkemade).
If references are entirely missing, you can add them using this form.