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

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

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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: , , , ,
Keywords: project management, research, artificial intelligence: decision support
Abstract:

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.

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