An integrated method for collaborative R&D project selection: Supporting innovative research teams

Authors:
Bo Feng;Jian Ma;Zhi-Ping Fan
Affiliations:
Department of Decision Science, School of Business Administration, South China University of Technology, Guangzhou 510640, China and Department of Management Science and Engineering, School of Bus ...;Department of Information Systems, City University of Hong Kong, Kowloon Tong, Hong Kong, China;Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang 110004, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

Collaborative R&D projects that are applied by innovative research teams (CIRT projects) are supported by government funding agencies in a number of countries due to the complexity and multidiscipline research of innovation. Government funding agencies invest heavily to CIRT projects every year. Thus, it is important to select the desired CIRT projects to avoid undesirable budget consumed. The purpose of this paper is to propose an integrated method for CIRT project selection. In this method, competitiveness and collaboration of candidate innovative research teams (IRTs) are used to assess and select projects. The criteria for competitiveness and collaboration are finalized in light of literature review as well as real situations. A formal decision procedure that aggregates competitiveness and collaboration performances of CIRTs is then presented. It integrates analytic hierarchy process (AHP), scoring method and weighted geometric averaging method. Some sample data from the National Natural Science Foundation of China (NSFC) is used to illustrate the potential application of the proposed method.