The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
How Opportunities Develop in Social Entrepreneurship
Abstract
The purpose of this article was to extend existing research on opportunity identification in the social entrepreneurship literature through empirically examining this phenomenon. We used an inductive, theory–building design that surfaced patterns in social value creation across multiple case studies. The patterns showed actors seeing a social need and prospecting ideas that could address it. Data also revealed multiple, not individual, actors, dynamically engaged in interactions that nudged an opportunity into manifestation. Also, data suggested complementarities to effectuation and rational/economic processes that are divergent theoretical approaches to the study of entrepreneurship to date.
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Grounded theory research: Procedures, canons, and evaluative criteria
Corbin, J. M., & Strauss, A. (1990) · Qualitative Sociology · doi:10.1007/bf00988593 · Cited by 11,133
Cited by
Social Entrepreneurship Research: Past Achievements and Future Promises
Saebi, T., Foss, N. J., & Linder, S. (2019) · Journal of Management · doi:10.1177/0149206318793196 · Cited by 1,001
Newman, A., Neesham, C., Manville, G., & Tse, H. H. M. (2018) · The International Journal of Human Resource Management · doi:10.1080/09585192.2017.1359792 · Cited by 173
Metadata
- Authors
- Corner, P. D., & Ho, M.
- Venue
- Entrepreneurship Theory and Practice
- Publisher
- SAGE Publications
- Published
- 2010-07
- Volume
- 34
- Issue
- 4
- Pages
- 635-659
- ISSN
- 1042-2587 (ISSN-L)
- 1540-6520
- OpenAlex
- W2090705906
- Cited by
- 583
- References
- 1
- FWCI
- 35.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Corner, P. D., & Ho, M. (2010). How Opportunities Develop in Social Entrepreneurship. Entrepreneurship Theory and Practice. https://doi.org/10.1111/j.1540-6520.2010.00382.x
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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.
