DOI: 10.14704/nq.2018.16.5.1319

Brain Mechanism of Economic Management Risk Decision Based on Kahneman’s Prospect Theory

Tao Gan


Risk decision-making under uncertain circumstances is a complicated process, which has always been the focus of economic management research and attention. With the intersection of decision-making neurology and various disciplines, it is possible to open the "black box" of human brain. Based on Kahneman's prospect theory, this research takes the brain mechanism of economic management decision as the research goal and adopts literature research method, neuroscience experiment method, data analysis and other research methods, to study behavior data of "risk avoidance" and "risk seeking" decision-making and the related activation brain regions and brain mechanisms under two different uncertain risk decision-making situations of "gain" and "loss." It is found that N2 and P3 components of frontal lobe, parietal lobe and central region are activated in both risk situations (gain and loss), N2 component is related to the preliminary processing of risk decision-making, P3 component can reflect the cognitive processing mechanism of managers' risk decision-making behavior, and the managers' decision-making behavior and risk preference are obviously influenced by the situation factors.


Managers' Risk Decision-making, Prospect Theory, Risk Avoidance, Risk Seeking, Brain Mechanisms

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Bode J. Decision support with neural networks in the management of research and development: concepts and application to cost estimation. Information & Management 1998; 34(1): 33-40.

Chen MY, Jimura K, White CN, Maddox WT, Poldrack RA. Multiple brain networks contribute to the acquisition of bias in perceptual decision-making. Frontiers in Neuroscience 2015; 9: 63-63.

Ferruzzi G, Rossi F, Bracale A. Bidding strategy of a micro grid for the day-ahead energy and spinning reserve markets: the problem formulation. Internatıonal Journal of Heat and Technology. 2017; 35: S466-71.

Heekeren HR, Marrett S, Bandettini PA, Ungerleider LG. A general mechanism for perceptual decision-making in the human brain. Nature 2004; 431(7010): 859-62.

Kim B, Seligman D, Kable JW. Preference reversals in decision making under risk are accompanied by changes in attention to different attributes. Frontiers in Neuroscience 2012; 6: 109-109.

Kolling N, Wittmann M, Rushworth MF. Multiple neural mechanisms of decision making and their competition under changing risk pressure. Neuron 2014; 81(5): 1190-1202.

Krain AL, Wilson AM, Arbuckle R, Castellanos FX, Milham M P. Distinct neural mechanisms of risk and ambiguity: a meta-analysis of decision-making. Neuroimage 2006; 32(1): 477-84.

Li CB, Yuan JH, Gao P. Risk decision-making based on Mahalanobis-Taguchi system and grey cumulative prospect theory for enterprise information investment. Intelligent Decision Technologies. 2016; 10(1): 49-58.

Linkov I, Satterstrom FK, Kiker G, Batchelor C, Bridges T, Ferguson E. From comparative risk assessment to multi-criteria decision analysis and adaptive management: recent developments and applications. Environment International 2006; 32(8): 1072-93.

Liu P, Jin F, Zhang X, Su Y, Wang M. Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables. Knowledge-Based Systems 2011; 24(4): 554-61.

Minati L, Grisoli M, Franceschetti S, Epifani F, Granvillano A, Medford N, Neural signatures of economic parameters during decision-making: a functional MRI (FMRI), electroencephalography (EEG) and autonomic monitoring study. Brain Topography 2012; 25(1): 73-96.

Lauharatanahirun N, Christopoulos GI, King-Casas B. Neural computations underlying social risk sensitivity. Frontiers in Human Neuroscience 2012; 6: 213-213.

Oliveira GA, Oliveira RF. Androgen modulation of social decision-making mechanisms in the brain: an integrative and embodied perspective. Frontiers in Neuroscience 2014; 8:209.

Ramakrishnan A, Murthy A. Brain mechanisms controlling decision making and motor planning. Progress in Brain Research 2005; 202(2): 321-45.

Schirillo JA, Stone ER. The greater ability of graphical versus numerical displays to increase risk avoidance involves a common mechanism. Risk Analysis 2005; 25(3): 555-66.

Tsai CF, Chiou YJ. Earnings management prediction: a pilot study of combining neural networks and decision trees. Expert Systems with Applications 2009; 36(3): 7183-91.

Xie K, Gang C, Wu DD, Luo C, Qian W. Entrepreneurial team's risk-based decision-making: a dynamic game analysis. International Journal of Production Economics 2011; 134(1): 78-86.

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