• 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