# Experimental Study on the Risk Preference Characteristics of Members in Supply Chain Emergencies
## 5 Conclusions  
This study aimed to measure the risk preferences of members from the perspective of supply chain risk. The risk of a supply chain was divided into conventional risk and emergency categories, and the consistency test of risk preference data was conducted in the corresponding risk fields. Supply chain emergencies were specified into sub-emergencies, and consistency tests of risk preference were conducted in the corresponding sub-emergencies. Overall, three experiments were conducted in this study. In experiment 1, [PERSON]'s scale framework was taken as a reference to design nine conventional risk fields of the supply \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline  & \multicolumn{4}{c}{**No Time Pressure**} & \multicolumn{4}{c}{**Time Pressure**} \\ \cline{2-10}  & **Total** & **The** & **The** & **The** & **The** & **The** & **The** & **The** & **The** & **The** & **The** & **The** \\  & **Mean** & **Mean** & **Standard** & **Maxi-** & **Minim-** & **Total** & **Mean** & **Standard** & **Maxi-** & **Minim-** \\ \hline Natural & 166 & 0.505 & 0.030 & 0.566 & 0.444 & 166 & 0.511 & 0.048 & 0.575 & 0.425 \\ Production & 166 & 0.506 & 0.037 & 0.575 & 0.444 & 166 & 0.500 & 0.032 & 0.575 & 0.425 \\ accident & Economy & 166 & 0.506 & 0.033 & 0.575 & 0.425 & 166 & 0.508 & 0.038 & 0.575 & 0.425 \\ Abnormal & 166 & 0.508 & 0.041 & 0.566 & 0.425 & 166 & 0.510 & 0.044 & 0.575 & 0.425 \\ accident & & & & & & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Statistical table of \(\gamma\) values with time pressure and no time pressure. chain, and the consistency of risk preferences was tested for corresponding supply chain risk fields after combining the designed supply chain emergencies with conventional risks. In experiment 2, the questionnaires were designed by referring to the weight function and value function of prospect theory to investigate the risk preference of decision makers who considered the supplies rescue scenario. In experiment 3, the risk preferences of decision makers were investigated when the supply chain was affected by a natural disaster, production accident, economic field, and abnormal accident. In experiment 2 and experiment 3, the influence of time pressure on the decision-makers' risk preferences was compared and analyzed after the time pressure variables were introduced. Based on the above experimental analysis, the conclusions were as follows:  
The preferences of decision makers regarding the conventional risk were consistent with the preferences of the emergency in the supply chain, while the risk preference of the same subject was inconsistent in different fields. Decision makers tended to show risk aversion in the supply chain emergencies, while the degree of risk aversion decreased with time pressure. The risk aversion degree of the subjects was similar in the conditions of the four sub-events of supply chain emergencies (natural disaster, production accident, economic field, abnormal accident). The risk preference degrees of the subjects were weakened after the time pressure test. At the same time, the time pressure had a great impact on the risk preferences of the subjects in the natural disaster condition and had small effects in the production accident, economic field, and abnormal accident scenarios. This research result has practical significance to supply chain risk and emergency management. It demonstrated that the risk preferences of supply chain members could be measured, and the preferences were also different in different risk fields and conditions of time pressure. The research methods could be used in the practice management of supply chain risks and emergencies and could provide empirical support for the risk preferences identification and the coordination of supply chain risk management. The study also verified that the risk aversion of supply chain members was weakened after time pressure was introduced.