By Topic

Recent progress in modeling R&D project-selection processes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
R. L. Schmidt ; Carlson Sch. of Manage., Minnesota Univ., Minneapolis, MN, USA ; J. R. Freeland

The authors review the progress that has been made in the development of quantitative models of R&D project-selection processes. Future research needs in the area are assessed. R&D project-selection has traditionally been modeled in the management science literature as a constrained optimization problem. The deficiencies of this approach have been described, and the need for new approaches has been recognized. In particular, the optimization approach ignores the organizational context in which decisions are made. A new stream of research in R&D project-selection models emerged in the 1970s in response to this need. The philosophy underlying the new approach differs significantly from traditional optimization models. The new approach seeks insight rather than outcomes and focuses on the decision process

Published in:

IEEE Transactions on Engineering Management  (Volume:39 ,  Issue: 2 )