Cognitive Mechanism of Economic Management Risk Based on EEG Analysis

Abstract

In the face of complex and changeable economic situation, the perception of potential risks in economic operation is directly related to the attitude and decision-making of managers to follow-up risks. Neuromanagement is a frontier interdisciplinary subject which is developed from decision-making neuroscience and management science, and has been applied in economic management. Based on the methods of literature research, cognitive neuroscience experiment, induction and summary, this paper attempts to use cognitive electroencephalogram (EEG) analysis technology to analyze the cognitive mechanism of management risk through subjects' cognitive differences in natural scenes with different risk levels. The experimental results show that from the perspective of behavior science there is no difference in assessment between high risk and low risk in the process of economic management risk perception, but EEG signal analysis shows that P200 and LPP induced by high risk scenarios are larger than low risk scenarios, which indicates that EEG signal analysis can be used as an effective measure of economic management risk perception and is helpful for managers to avoid risk and make correct decision..