• DocumentCode
    2812897
  • Title

    Research of the Model for Identifying Knowledge Lack of Employees Based on Bayesian Decision

  • Author

    Cheng Junmo ; Li Yumei

  • Author_Institution
    Sch. of Manage., Shandong Univ. of Technol., Zibo, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The importance of employees´ knowledge training in enterprise management was expatiated, and the deficiencies of employees´ knowledge training management were pointed out firstly. On the base of above, it was figured out that, the knowledge lack of employees must be understood through analyzing the employees´ knowledge requirements firstly if enterprise carries out knowledge training effectively. The decision-making method to recognize employees´ knowledge lack based on Bayesian theory in enterprise is presented from the views of improving the quality of knowledge training and reducing the cost of knowledge training, this method can help the manager to understand the knowledge lack of employees, and to plan employees´ knowledge training effectively.
  • Keywords
    Bayes methods; decision making; knowledge management; Bayesian decision; decision-making method; enterprise management; knowledge requirements; knowledge training management; Bayesian methods; Cognition; Costs; Decision making; Human resource management; Knowledge management; Management training; Quality management; Research and development; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363107
  • Filename
    5363107