An organizational decision support approach to R and D project selection

Qijia Tian, Jian Ma, C. J. Liang, R. C.W. Kwok, Ou Liu, Quan Zhang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

6 Citations (Scopus)

Abstract

Research and development project selection is an important task for organizations with research and development project management. It is a complicated multi-stage decision-making process which involves groups of decision makers. Current research on R and D project selection mainly focuses on mathematical decision models and their applications, but ignores the organizational aspect of the decision-making process. To extend the current research, the paper proposes an organizational decision support framework for R and D project selection. Based on this, an organizational DSS has been developed and used for selection of projects in the National Natural Science Foundation of China. The proposed framework aims at modeling the process of R and D project selection at an organizational level. Also, it supports the whole life cycle of the decision-making process.

Original languageEnglish
Title of host publicationProceedings of the 35th Annual Hawaii International Conference on System Sciences, HICSS 2002
EditorsRalph H. Sprague
PublisherIEEE Computer Society
Pages3418-3427
Number of pages10
ISBN (Electronic)0769514359
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event35th Annual Hawaii International Conference on System Sciences, HICSS 2002 - Big Island, United States
Duration: 7 Jan 200210 Jan 2002

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2002-January
ISSN (Print)1530-1605

Conference

Conference35th Annual Hawaii International Conference on System Sciences, HICSS 2002
Country/TerritoryUnited States
CityBig Island
Period7/01/0210/01/02

Keywords

  • Decision making
  • Decision support systems
  • Government
  • Management information systems
  • Mathematical model
  • Mathematical programming
  • Project management
  • Research and development
  • Research and development management
  • Uncertainty

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