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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Laureano, Raul M. S., Vinhas da Silva, Rui, Pereira, Joana, Martins, Sandrina & Rodrigues, David (2014). Leigos para o desenvolvimento: optimization of private donations through segmentation. VI International Congress of Teaching Cases Related to Public and Nonprofit Marketing .
Exportar Referência (IEEE) 
R. M. Laureano et al.,  "Leigos para o desenvolvimento: optimization of private donations through segmentation", in VI Int. Congr. of Teaching Cases Related to Public and Nonprofit Marketing , Coimbra, 2014
Exportar BibTeX 
@misc{laureano2014_1732207744789,
	author = "Laureano, Raul M. S. and Vinhas da Silva, Rui and Pereira, Joana and Martins, Sandrina and Rodrigues, David",
	title = "Leigos para o desenvolvimento: optimization of private donations through segmentation",
	year = "2014",
	howpublished = "Outro",
	url = "http://aimpn.iscac.pt/?lang=en"
}
Exportar RIS 
TY  - CPAPER
TI  - Leigos para o desenvolvimento: optimization of private donations through segmentation
T2  - VI International Congress of Teaching Cases Related to Public and Nonprofit Marketing 
AU  - Laureano, Raul M. S.
AU  - Vinhas da Silva, Rui
AU  - Pereira, Joana
AU  - Martins, Sandrina
AU  - Rodrigues, David
PY  - 2014
CY  - Coimbra
UR  - http://aimpn.iscac.pt/?lang=en
AB  - Leigos para o Desenvolvimento (LD) are a NGOD (Non-Governmental Organization for Development) whose financing derives from donations obtained in the wider community. In this context and with the purpose of optimizing resource allocation in donations collection and the maximization of revenue thereof, the current study aims to assess the relative effectiveness of segmentation tools in donations with that purpose in mind. In informing the process and strategy of donations and thus optimizing organizational revenue, we aim to confront the merits of intuitive and experiential solutions with those that result from empirical data gathered and statistical techniques applied to segmentation tools and techniques. We conclude that there exists no one segmentation solution for sorting out the problem, opting instead for claiming that each case should be treated as unique and evaluated on its own.
ER  -