DocumentCode :
2976073
Title :
Selecting R&D projects for technology-based innovation: An application of the core model approach
Author :
Cheung, Michael Tow ; Greenfield, Paul F. ; Liao, Ziqi
Author_Institution :
Univ. of Hong Kong, Hong Kong, China
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
974
Lastpage :
977
Abstract :
To optimize the use of knowledge when selecting R&D projects for technology-based innovation, all possible techniques - whether based on mathematical programming, or behavior, organization and information, or strategic consistency and integration - should be considered. We present a readily operationalized and flexible approach to this task, under which different project selection techniques are rendered comparable with reference to the normative methodology in economics and relevance to a core-model description of the real world in any application.
Keywords :
mathematical programming; project management; research and development management; R&D project; core model approach; mathematical programming; project selection technique; strategic consistency; technology-based innovation; Australia; Availability; Decision making; Investments; Mathematical programming; Portfolios; Research and development; Sensitivity analysis; Technological innovation; Utility theory; R&D; core model; knowledge management; project selection; technology-based innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5373527
Filename :
5373527
Link To Document :
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