DocumentCode
1514160
Title
R&D project selection: Behavior and practice in a newly industrializing country
Author
Lee, Jeyull ; Lee, Sang-Rim ; Bae, Z.-T.
Author_Institution
Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
Issue
3
fYear
1986
Firstpage
141
Lastpage
147
Abstract
An empirical study is presented on the practices of research and development management with special emphasis on the project selection behavior in Korea. Based on a review of literature pertaining to the R&D project selection, a survey framework was first generated. The data were collected from 73 laboratories of Korean private companies through a structured questionnaire, via a mail survey supplemented by some telephone interviews. As expected, the usage of formal models in R&D project selection are considerably limited in Korea. The findings, however, suggest that the formal models utilized by the research laboratories are varied distinctively according to research types. Exploratory and supportive R&D projects are selected by using screening models, while high-risk, new business development projects are selected by using evaluation models. For the selection of exploratory and supportive R&D projects, the major decision makers are laboratory directors, and the important decision criteria are technical factors. On the other hand, the major decision makers for the high-risk new business development projects come from the top management of firms, and they consider the market factors important as well as strategic factors. Several aspects of idea generation and collection for the R&D project selection are also presented.
Keywords
research and development management; reviews; Korea; R&D project selection; decision makers; development projects; evaluation models; high-risk new business development; laboratory directors; mail survey; market factors; newly industrializing country; research and development management; review; screening models; strategic factors; structured questionnaire; telephone interviews; Analytical models; Biological system modeling; Companies; Decision making; Industries; Laboratories;
fLanguage
English
Journal_Title
Engineering Management, IEEE Transactions on
Publisher
ieee
ISSN
0018-9391
Type
jour
DOI
10.1109/TEM.1986.6447662
Filename
6447662
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