# Experimental Study on the Risk Preference Characteristics of Members in Supply Chain Emergencies
## 3 Results
### Data Analysis of Experiment 3  
The experimental data of two groups from four emergency scenarios were tested in the field of supply chain emergent sub-events, with the asymptotic significances of the  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**The Subjects** & **The Experiment Field** & \(\sigma\) & \(\alpha\) \\ \hline Residents in South Asia & Lottery experiment & 0.59 & 0.74 \\ Chinese farmers & Planting field & 0.48 & 0.69 \\ Supply chain members in China & Supply chain risk & 0.91 & 0.92 \\ \hline \hline \end{tabular}
\end{table}
Table 6: Experimental parameters of the subjects in different fields.  
Figure 1: The distribution diagrams of the turning points: (**a**) the distribution of turning points with no time pressure; (**b**) the distribution of turning points with time pressure.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**The Subjects** & **The Experiment** & \multicolumn{2}{c}{**No Time**} & \multicolumn{2}{c}{**Time**} \\  & **Field** & **Pressure** & **Pressure** \\ \hline Students & Emergency field & 0.956 & 0.944 & 0.833 & 0.85 \\ Supply chain members & Supply chain risk & 0.909 & 0.917 & 0.702 & 0.8 \\ \hline \hline \end{tabular}
\end{table}
Table 7: Experimental parameters of the subjects with time pressure.  
no time pressure and time pressure groups being 0.983 and 0.747, respectively, which were greater than 0.05. Thus, there was no significant difference between the \(\gamma\) values of the two groups. Then, the pairwise comparison of four kinds of \(\gamma\) values was conducted according to the two groups of experimental data. There were a total of 12 groups of \(\gamma\) value combinations, and the \(t\)-test was conducted on them. The maximum \(p\) was 0.775, which was obtained using the test, corresponding to production accidents and economic fields with time pressure; the minimum \(p\) was 0.155, corresponding to the natural disaster and abnormal accident scenarios in the no-time-pressure group. All tested \(p\)-values were greater than 0.05, showing that the difference was not statistically significant. It was confirmed that the test results of all data met the necessary conditions, meaning further analysis was required.  
As shown in the Figure 2 on the whole, the value of \(\gamma\) fluctuated slightly around 0.5, which indicated that different types of emergencies in the supply chain were relatively consistent with the risk preferences of the subjects with time pressure. Meanwhile, time pressure weakened the risk aversion degree of the subjects, which was also consistent with the partial conclusion of experiment 2. Further analysis showed that the natural disaster had a greater impact on the risk preference of subjects with time pressure, while the production accident, economy field, and abnormal accident had smaller impacts.  
Furthermore, the standard deviation and extreme value of \(\gamma\) were further analyzed in the four scenarios. As shown in Table 8, the difference in the standard deviation between the two groups of experiments was smaller, which indicated better stability of decision-making. The standard deviation of the \(\gamma\) values with time pressure was larger than with no time pressure, which showed that time pressure reduced the stability of the decision-makers' risk preferences.  
Conclusion 3: The risk preference of the subjects showed consistency for the natural disaster, production accident, economic field, and abnormal accident. The second part of hypothesis 2 was rejected. Time pressure had a great influence on the risk preference of decision makers in the natural disaster scenario, which showed the alleviation of the degree of risk aversion. However, the time pressure had little influence on the risk preferences of the decision makers regarding the production accident, economic field, and abnormal accident. Therefore, hypothesis 3 was rejected.  
Figure 2: Risk preferences of the supply chain emergency sub-events.