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
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;
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
DOI :
10.1109/CISE.2009.5363107