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

  • Authors:
  • Qijia Tian;Jian Ma;Jiazhi Liang;Ron C. W. Kwok;Ou Liu

  • Affiliations:
  • Department of Information Systems, City University of Hong Kong, Hong Kong, PR China and Department of Computer Science, Shandong University of Science and Technology, PR China;Department of Information Systems, City University of Hong Kong, Hong Kong, PR China;Department of Information Systems, City University of Hong Kong, Hong Kong, PR China;Department of Information Systems, City University of Hong Kong, Hong Kong, PR China;Department of Information Systems, City University of Hong Kong, Hong Kong, PR China

  • Venue:
  • Decision Support Systems
  • Year:
  • 2005

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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.