The DOI matches its Crossref record.
An identification and interpretation of the organizational aspects of community empowerment
Abstract
Community empowerment is central to community development and yet making this concept operational in a programme context remains elusive. Based on doctoral work, this paper identifies and interprets nine organizational ‘domains’ for community empowerment. These organizational domains are not absolutes rather they serve as a point of departure for further discussion about straightforward ways to define and measure community empowerment as a process. This paper is seen as a step toward clarifying and making this concept operational to guide practitioners who wish to apply and measure community empowerment in a programme context. The implications for community development and research are discussed.
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Cited by
Developing and applying a framework to evaluate participatory research for sustainability
Blackstock, K. L., Kelly, G. J., & Horsey, B. L. (2007) · Ecological Economics · doi:10.1016/j.ecolecon.2006.05.014 · Cited by 451
Perez, D., Lefevre, P., Castro, M., Sanchez, L., Toledo, M. E., Vanlerberghe, V., & Van der Stuyft, P. (2011) · Health Policy and Planning · doi:10.1093/heapol/czq077 · Cited by 39
Metadata
- Authors
- Laverack, G.
- Venue
- Community Development Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-04-01
- Volume
- 36
- Issue
- 2
- Pages
- 134-145
- ISSN
- 0010-3802 (ISSN-L)
- 1468-2656
- OpenAlex
- W2043775885
- Cited by
- 256
- References
- 0
- FWCI
- 24.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Laverack, G. (2001). An identification and interpretation of the organizational aspects of community empowerment. Community Development Journal. https://doi.org/10.1093/cdj/36.2.134
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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.
