Article ID: | iaor20052405 |
Country: | Netherlands |
Volume: | 39 |
Issue: | 3 |
Start Page Number: | 403 |
End Page Number: | 413 |
Publication Date: | May 2005 |
Journal: | Decision Support Systems |
Authors: | Ma Jian, Tian Qijia, Liang Jiazhi, Kwok Ron C.W., Liu Ou |
Keywords: | project management, research, artificial intelligence: decision support |
Research and development (R&D) project selection is an important task for organizations with R&D project management. It is a complicated multi-stage decision-making process, which involves groups of decision makers. Current research on R&D project selection mainly focuses on mathematical decision models and their applications, but ignores the organizational aspect of the decision-making process. This paper proposes an organizational decision support system (ODSS) for R&D project selection. Object-oriented method is used to design the architecture of the ODSS. An organizational decision support system has also been developed and used to facilitate the selection of project proposals in the National Natural Science Foundation of China (NSFC). The proposed system supports the R&D project selection process at the organizational level. It provides useful information for decision-making tasks in the R&D project selection process.