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Family Matters: Gender, Networks, and Entrepreneurial Outcomes
Abstract
In this article, we explore several factors that may have an effect on business start-ups, focusing on possible gender differences. We conceptualize social capital as inhering in people's relations with others and examine the association between men's and women's social capital and their likelihood of starting a business. Two aspects of respondents' social capital are highlighted: the extent to which their business discussion networks are heterogeneous and the extent to which they contain a high proportion of kin. We show that a high proportion of kin and homogeneity in the network, rather than a high proportion of females in the network or being female, are critical disadvantages facing potential small business owners.
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Citations
Cited by
Many are Called, but Few are Chosen: An Evolutionary Perspective for the Study of Entrepreneurship
Aldrich, H. E., & Martinez, M. A. (2001) · Entrepreneurship Theory and Practice · doi:10.1177/104225870102500404 · Cited by 596
Self-citationSex, Gender, and Decisions at the Family → Work Interface
Powell, G. N., & Greenhaus, J. H. (2010) · Journal of Management · doi:10.1177/0149206309350774 · Cited by 233
Family entrepreneurship as a field of research: Exploring its contours and contents
Randerson, K., Bettinelli, C., Fayolle, A., & Anderson, A. (2015) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2015.08.002 · Cited by 195
Metadata
- Authors
- Renzulli, L. A., Aldrich, H. E., & Moody, J. W.
- Venue
- Social Forces
- Publisher
- Oxford University Press
- Published
- 2000-12-01
- Volume
- 79
- Issue
- 2
- Pages
- 523-523
- ISSN
- 0037-7732 (ISSN-L)
- OpenAlex
- W2126171312
- Cited by
- 763
- References
- 0
- FWCI
- 22.44
- 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.
