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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, R. M. S., Vinhas da Silva, R., Pereira, J., Martins, S. & Rodrigues, D. (2015). Leigos para o Desenvolvimento: donations optimization through private segmentation. Revista de casos de Marketing Público y No lucrativo. 2, 45-56
Exportar Referência (IEEE) 
R. M. Laureano et al.,  "Leigos para o Desenvolvimento: donations optimization through private segmentation", in Revista de casos de Marketing Público y No lucrativo, vol. 2, pp. 45-56, 2015
Exportar BibTeX 
@article{laureano2015_1734882920002,
	author = "Laureano, R. M. S. and Vinhas da Silva, R. and Pereira, J. and Martins, S. and Rodrigues, D.",
	title = "Leigos para o Desenvolvimento: donations optimization through private segmentation",
	journal = "Revista de casos de Marketing Público y No lucrativo",
	year = "2015",
	volume = "2",
	number = "",
	pages = "45-56",
	url = "http://www.grupomio.org/grupo-de-investigacion-multidisciplinar-de-la-universidad-de-leon-multidisciplinary-research-group-at-the-university-of-leon/"
}
Exportar RIS 
TY  - JOUR
TI  - Leigos para o Desenvolvimento: donations optimization through private segmentation
T2  - Revista de casos de Marketing Público y No lucrativo
VL  - 2
AU  - Laureano, R. M. S.
AU  - Vinhas da Silva, R.
AU  - Pereira, J.
AU  - Martins, S.
AU  - Rodrigues, D.
PY  - 2015
SP  - 45-56
SN  - 2530-3422
UR  - http://www.grupomio.org/grupo-de-investigacion-multidisciplinar-de-la-universidad-de-leon-multidisciplinary-research-group-at-the-university-of-leon/
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  -