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Corporate philanthropic selection using data envelopment analysis

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  • Partovi, Fariborz Y.

Abstract

This paper presents a case study involving quantitative models for the selection of corporate philanthropic projects. The four analytic techniques used by this company for ranking and selecting philanthropic projects are all based on Data Envelopment Analysis (DEA). Instead of relaying only on one traditional DEA model, the four approaches employed in this study enable the decision maker to identify the most deserving school.

Suggested Citation

  • Partovi, Fariborz Y., 2011. "Corporate philanthropic selection using data envelopment analysis," Omega, Elsevier, vol. 39(5), pages 522-527, October.
    • Handle: RePEc:eee:jomega:v:39:y:2011:i:5:p:522-527
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    Cited by:

    1. Liu, Hui-hui & Song, Yao-yao & Liu, Xiao-xiao & Yang, Guo-liang, 2020. "Aggregating the DEA prospect cross-efficiency with an application to state key laboratories in China," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    2. Ma, Li-Ching, 2012. "Screening alternatives graphically by an extended case-based distance approach," Omega, Elsevier, vol. 40(1), pages 96-103, January.
    3. Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2019. "Cross-efficiency evaluation in data envelopment analysis based on prospect theory," European Journal of Operational Research, Elsevier, vol. 273(1), pages 364-375.
    4. Kao, Chiang & Pao, Hwei-Lan, 2012. "Predicting project approvals: A case of grants from the National Science Council of Taiwan," Omega, Elsevier, vol. 40(1), pages 89-95, January.

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    Keywords

    DEA Philanthropy;

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