Predicting project approvals: A case of grants from the National Science Council of Taiwan

Publication year: 2012
Source: Omega, Volume 40, Issue 1, January 2012, Pages 89-95

Chiang, Kao , Hwei-Lan, Pao

Project selection is an important task for organizations in achieving their missions using limited budgets and resources. Whether or not a project will be approved is also of primary concern to the applicants. This paper predicts whether a project will be approved for cases where the criteria for evaluating it are known while the scoring system is not. The idea is to construct a frontier function for the approved projects from past performance on the criteria. The relative distance between a proposed project and the frontier serves as an indicator of the possibility that the project will be approved. Data…

 Highlights: ► We calculate a distance measure to predict project approvals. ► Larger distance measures signal higher possibility of project approvals. ► Applicants of different research areas have different approval rate. ► Research performance of Taiwan NSC project grantees has improved from 2006 to 2010.