AGBA method in HRM information risk measure and prevention based on BP neural network

Author

Ding-quan, Yang ; Lu, Ma

Author_Institution

Sch. of Manage., Hefei Univ. of Technol., Hefei, China

Volume

1

fYear

2012

fDate

20-21 Oct. 2012

Firstpage

164

Lastpage

167

Abstract

Information risk is widely present in human resource management process. Information distortion, information asymmetries, information disclosure, information hiding, information shortage, information redundancy and so may lead to human resources management risk. This paper based on AGBA comprehensive evaluation method of BP Neural Network, build a HRM information risk indicators system and measure model, proposed to dynamically monitor and continuously control HRM information risk.

Keywords

backpropagation; human resource management; information management; neural nets; AGBA method; BP neural network; HRM information risk measure; human resource management process; information asymmetries; information disclosure; information distortion; information hiding; information redundancy; information shortage; Educational institutions; Indexes; Information security; Neural networks; Redundancy; Risk management; AGBA comprehensive evaluation method; BP Neural Network; HRM information risk;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-0914-1

Type

conf

DOI

10.1109/ICSSEM.2012.6340698

Filename

6340698