Title :
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
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;
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
DOI :
10.1109/ICSSEM.2012.6340698
