DocumentCode :
2610760
Title :
R&D project management standardization: an empirical research
Author :
Guo, Guilin ; Chen, Yidong ; Sun, Yuan ; Zhou, Xiaohong
Author_Institution :
Zhejiang Univ., Hangzhou
fYear :
2007
fDate :
2-4 Dec. 2007
Firstpage :
1063
Lastpage :
1067
Abstract :
Nowadays, 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 :
correlation methods; electronics industry; organisational aspects; project management; regression analysis; research and development management; small-to-medium enterprises; standardisation; R&D project management standardization; correlation analysis; electronic manufacture industry; empirical research; enterprise competitive advantage; large-and-medium enterprise; multiple regression analysis; sample T-test; small enterprises; Electronics industry; Industrial electronics; Manufacturing industries; Performance analysis; Project management; Pulp manufacturing; Regression analysis; Scanning probe microscopy; Standardization; Virtual manufacturing; Performance; Project management; R&D project; Standard; Standardization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1529-8
Electronic_ISBN :
978-1-4244-1529-8
Type :
conf
DOI :
10.1109/IEEM.2007.4419355
Filename :
4419355
Link To Document :
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