The employment of a decision support system for optimizing fund raising strategies is crucial to the management of non-profit organizations. Commonly considered methodologies utilize the organization’s donor database in order to gather and analyse information. However, many organizations, especially small- and medium-sized ones, do not own or efficiently manage a database, and consequently, the usual methods are inapplicable. In this paper, a decision support system is developed that is able to identify the most promising fund raising strategies on the basis of the organization’s profile. The profile factors of a non-profit organization are analysed and hierarchically organized in a decision tree in order to effectively employ the Choquet integral methodology, which is recommended in these kinds of multi-criteria decision problems. The results obtained in the real operational context show the effectiveness of the proposed system.
L. Barzanti, S. Giove (2012). A decision support system for fund raising management based on the Choquet integral methodology. EXPERT SYSTEMS, 29 (4), 359-373 [10.1111/j.1468-0394.2011.00601.x].
A decision support system for fund raising management based on the Choquet integral methodology
BARZANTI, LUCA;
2012
Abstract
The employment of a decision support system for optimizing fund raising strategies is crucial to the management of non-profit organizations. Commonly considered methodologies utilize the organization’s donor database in order to gather and analyse information. However, many organizations, especially small- and medium-sized ones, do not own or efficiently manage a database, and consequently, the usual methods are inapplicable. In this paper, a decision support system is developed that is able to identify the most promising fund raising strategies on the basis of the organization’s profile. The profile factors of a non-profit organization are analysed and hierarchically organized in a decision tree in order to effectively employ the Choquet integral methodology, which is recommended in these kinds of multi-criteria decision problems. The results obtained in the real operational context show the effectiveness of the proposed system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.