DocumentCode :
3321268
Title :
An empirical research on R&D project management standardization and corresponding countermeasures
Author :
Gui-lin, Guo ; Xiao-hong, Zhou ; Guo-qun, Huang
Author_Institution :
Sch. of Manage., Zhejiang Univ., Hangzhou, China
fYear :
2007
fDate :
July 29 2007-Aug. 1 2007
Firstpage :
124
Lastpage :
129
Abstract :
The 21st century is an innovation age, and it´s increasingly important to reinforce R&D project management for obtaining enterprise´s competitive advantage and development. The R&D project management standardization (PMS) is a significant method in the R&D project management, while it is a controversial issue, and therefore, it´s necessary to conduct this research. In this paper, based on sample data of some Chinese enterprises in electronic manufacture industry, we establish a conceptual model, use paired sample T-test, correlation analysis, and multiple regression analysis (SPSS 13) to analyze how the R&D PMS affect the R&D project performance. We find: the effect of standardized project management (SPM) on the R&D project performance differs with the enterprise scale, i.e., SPM has no obvious facilitative influence on the project performance in the small enterprises, while SPM will increase the project performance in the large and medium enterprises; the intrinsic effect of the R&D PMS on the R&D project performance also differs with the enterprise scale. Finally, we present research conclusions and limitations, and some countermeasures & proposals to reinforce the R&D SPM, and thus improve the R&D project performance and promote enterprises´ unceasing development.
Keywords :
electronics industry; project management; regression analysis; research and development management; Chinese enterprises; R&D project management standardization; correlation analysis; electronic manufacture industry; large-and medium enterprises; multiple regression analysis; paired sample T-test; standardized project management; Electronics industry; Industrial electronics; Manufacturing industries; Performance analysis; Project management; Pulp manufacturing; Scanning probe microscopy; Standardization; Technological innovation; Virtual manufacturing; Performance; Project management; R&D project; Standard; Standardization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering Management Conference, 2007 IEEE International
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2145-9
Electronic_ISBN :
978-1-4244-2146-6
Type :
conf
DOI :
10.1109/IEMC.2007.5235086
Filename :
5235086
Link To Document :
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