DocumentCode :
3456854
Title :
Research on Manager Training Effectiveness Evaluation Based on Kirkpatrick Model and Fuzzy Neural Network Algorithm
Author :
Yang, Shaomei ; Zhu, Qian
Author_Institution :
Econ. & Manage. Dept., North China Electr. Power Univ., Baoding
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Training is a process which enterprise provides the knowledge and skill to the staff, and is important content which deepens the organization development, carries out enterprise management behavior and cultural practice. Based on the analysis of the training importance and the present of training effectiveness evaluation, this paper establishes an effectiveness evaluation system combined with Kirkpatrick model and describes the evaluation mechanism based on fuzzy algorithm and BP neural network. The effectiveness evaluation of 10 managers in a certain enterprise shows that the results given by this model are reliable, and this method to evaluate manager training effectiveness is feasible.
Keywords :
computer based training; fuzzy neural nets; management training; Kirkpatrick model; enterprise management; fuzzy algorithm; fuzzy neural network; human resource management; manager training; organization development; training effectiveness evaluation; Content management; Energy management; Financial management; Fuzzy neural networks; Human resource management; Knowledge management; Management training; Neural networks; Neurons; Research and development management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.1714
Filename :
4679903
Link To Document :
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