• DocumentCode
    495055
  • Title

    Evaluation on the Influence of Corporate Culture Based on BP Neural Network

  • Author

    Wang, Qiwan

  • Author_Institution
    Sch. of Manage., Xuzhou Inst. of Technol., Xuzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    79
  • Lastpage
    82
  • Abstract
    In this paper, the BP neural network method and software related are used to evaluate the influence of corporate culture, in order to provide decision-making basis for business management. The evaluation on the running culture system of enterprises facilitates managers to adjust strategies and tactics and maintain the effectiveness of the cultural development. In this paper, an evaluation system on the influence of corporate culture is first established, and then the BP neural network evaluation method is used to evaluate the influence of corporate culture and the statistical data are processed with computer, thus realizing the quantitative evaluation on the influence of corporate culture and providing the enterprise managers with decision-making basis. The results after computer processing are very close to the actual situations, showing that using the BP neural network evaluation method to evaluate the influence of corporate culture is operational and is effective.
  • Keywords
    backpropagation; commerce; neural nets; organisational aspects; statistical analysis; BP neural network evaluation; business management; corporate culture; cultural development; culture system; decision making basis; evaluation system; statistical data; Computer network management; Computer networks; Conference management; Cultural differences; Decision making; Mathematical model; Multi-layer neural network; Neural networks; Neurons; Technology management; BP neural network; corporate culture; evaluation; index system; influence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.128
  • Filename
    5169012