Toward an Ecology of Market Categories
AbstractThis paper proposes that social categorization is driven by an ecological dynamic that operates in two planes: feature space and category space. It develops a theoretical model that links positions in feature space to label assignments in category space. The first part of the model predicts that movements in feature space affect label assignments in category space, with proximity to labeled clusters affecting label adoption. The second part predicts that the structure of category space affects this relationship. For lenient labels, positions in feature space are more weakly related to label adoption in category space. An empirical analysis of software producers, based on their positions in a feature space of patents, and a category space of market-label affiliations, supports these predictions. The results imply that social classification is characterized by this coupled ecological dynamic. Further, our findings have implications for the evolution of categories, suggesting that lenient categories will become more lenient, while constraining categories will become more constraining.
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 Stanford University, Graduate School of Business in its series Research Papers with number 2110.
Date of creation: Jul 2012
Date of revision:
Contact details of provider:
Postal: Stanford University, Stanford, CA 94305-5015
Phone: (650) 723-2146
Web page: http://gsbapps.stanford.edu/researchpapers/
More information through EDIRC
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.:
- Iain M. Cockburn & Megan J. MacGarvie, 2009.
"Patents, Thickets and the Financing of Early-Stage Firms: Evidence from the Software Industry,"
Journal of Economics & Management Strategy,
Wiley Blackwell, vol. 18(3), pages 729-773, 09.
- Iain M. Cockburn & Megan MacGarvie, 2007. "Patents, Thickets, and the Financing of Early-Stage Firms: Evidence from the Software Industry," NBER Working Papers 13644, National Bureau of Economic Research, Inc.
- Hall, Bronwyn H & Jaffe, Adam B & Trajtenberg, Manuel, 2001.
"The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools,"
CEPR Discussion Papers
3094, C.E.P.R. Discussion Papers.
- Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
- Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.