An organizational decision support system for effective R&D project selection

• Published in: Decision Support Systems Vol. 39; no. 3; pp. 403 - 413
• Main Authors: Tian, Qijia, Ma, Jian, Liang, Jiazhi, Kwok, Ron C.W., Liu, Ou
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.05.2005; Elsevier Science; Elsevier Sequoia S.A
• Subjects: Applied sciences; Decision making; Decision support systems; Decision theory. Utility theory; Exact sciences and technology; Object oriented programming; ODSS; ODSS application; ODSS architecture; Operational research and scientific management; Operational research. Management science; Parking facilities; R&D; R&D project selection; Research & development; Studies; Systems design; R&D project selection; ODSS; ODSS application; ODSS architecture; Social decision; Organization; Decision support system; Decision making; Project management; Project selection; Research and development; Object-oriented methods
• ISSN: 0167-9236; 1873-5797
• DOI: 10.1016/j.dss.2003.08.005

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.