## 6 Result and Discussion  
### Result  
1.1 Category Analysis of Uncertainty Indicators for the Application of a New Generation of Digital Technology  
According to the results of the DEMATEL method's cause-degree calculation, the causal diagram of the uncertainty indicators of digital technology application in the construction industry is plotted in Figure 3.  
In the calculation results of the DEMATEL method, if the causal degree of the index is greater than zero, the index is the causal factor in the uncertainty index system. From the results in Figure 3, it can be seen that A1, A2, A3, B1, B2, B3 and E1 have a causality greater than zero as a causal factor. Perfection of the policy protection system (A1) and perfection of the regulatory system (A3) ranked first and second, respectively, and ranked first and third, respectively, in the ranking of influence, indicating that their causal relationship is the highest. The degree of policy implementation (A2) ranks fifth in the causal degree, indicating that its causal relationship is also relatively high. Combined with the actual situation of the construction industry being affected by policies, it is believed that digital technology is also affected by policies in the process of promotion and application in the construction industry [58]. The application of new technologies needs to be guided by a series of policies introduced at the national level for the application of new technologies in enterprises to construct a general environment, otherwise the application of new technologies in enterprises cannot be talked about; so, the policy factor is a prerequisite for the application of new technologies. The main factors are policy and industry. It shows that the application and promotion of digital technology in the construction industry depends on the guarantee of policies and the improvement of industry technical standards. An indicator is a result factor in the uncertainty indicator system if its degree of cause is less than zero. From Figure 3, we can see that C1, C2, C3, D1, D2 and E2, being less than zero, are the result factors. With the introduction of new technologies, both enterprises and professional and technical personnel in the early stages of transition will produce an increase in learning time and cost, briefly reducing the phenomenon of work efficiency. Figure 3: Cause-and-effect diagram of uncertainty indicators for digital technology applications. In addition, with the lack of a standard contract model for digital technology in the early stages of technology introduction and the number of professional and technical personnel is small, the cognition of the new technology is relatively one sided. From the resulting factors, the uncertainty can be seen intuitively in the application of digital technology in the construction industry, which is also the reason why the promotion of digital technology in the construction industry is relatively slow. 1.2 Multi-Level Hierarchical Structural Model Analysis of the Uncertainty Index Application of New-Generation Digital Technology  
Based on the complex network theory, according to the indicator set calculated using DEMATEL-ISM, the multilevel recursive order structure model diagram of the uncertainty indicator system of digital technology application in the construction industry is drawn as Figure 4.  
From the point of view of the node degree of the indicators, the indicators with the most node degrees are A\({}_{1}\), A\({}_{2}\) and A\({}_{3}\). From the results of the recursive structural model diagram, the node degree of higher factors are policy aspects; according to technology acceptance theory, if the enterprise is to accept the new technology, it first should be accepted at the national level of technology.