TY - GEN
T1 - Selecting R&D projects for technology-based innovation
T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
AU - Cheung, Michael Tow
AU - Greenfield, Paul F.
AU - Liao, Ziqi
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Core model
KW - Knowledge management
KW - Project selection
KW - R&D
KW - Technology-based innovation
UR - http://www.scopus.com/inward/record.url?scp=77949517536&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2009.5373527
DO - 10.1109/IEEM.2009.5373527
M3 - Conference proceeding
AN - SCOPUS:77949517536
SN - 9781424448708
T3 - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 974
EP - 977
BT - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Y2 - 8 December 2009 through 11 December 2009
ER -
