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As the main driving force for the digital transformation of the construction industry, the uncertainty of digital technology in the application process has seriously hindered the high-quality development of the construction industry. In order to promote the wide application of digital technology in the construction industry and clarify the key uncertainties in its application process, this paper identifies the uncertainty index system of digital technology application based on the LDA topic model and literature analysis; the DEMATEL-ISM method is used to construct the multilevel hierarchical structure model of the uncertainty indicators in the application of digital technology to study the mutual influence among the indicators and to find the key uncertainty indicators. The research results show that the uncertainty indicators of the application of digital technology in the construction industry are divided into five levels: policy, industry, personnel, economy and law, and that the perfection of the policy guarantee system is the key uncertainty indicator for the investment return period of digital technology application. The standard contract model for digital technology is a direct uncertainty indicator for the application of digital technology in the construction industry. The results of this study help researchers and practitioners to focus on the key barriers and provide a list of key elements for construction companies to promote the application of next-generation digital technologies to improve digitalization of the construction industry. This study also provides a policy reference to further promote the digital transformation of the construction industry. [ABSTRACT FROM AUTHOR]

This study aimed to construct an accounting method for the domestic value-added rate for exports by considering environmental costs and using a developing country, China, as an example, to measure the "positive" and "negative" economic benefits obtained by industrial sectors linking to the global value chains (GVCs), namely the comprehensive rate of return. On this basis, the impact of industrial intelligence on the comprehensive rate of return of the GVCs is further explored. When environmental costs are considered, the comprehensive rate of return of China's industrial sectors linking to the GVCs is reduced by approximately 15%. Industrial intelligence is conducive to improving the comprehensive return rate of China's participation in GVCs. And the accumulation of human capital and the improvement of the competitiveness of export products are important mechanisms for industrial intelligence to affect the comprehensive rate of return of the GVCs. The improvement of industrial intelligence level in pollution-intensive industries has the most obvious promotion effect on the comprehensive rate of return of GVCs, followed by capital and technology-intensive industries, while labor-intensive industries are not sensitive to this effect. • This study calculates the comprehensive return rate of China's participation in GVCs. • The comprehensive return rate is reduced by approximately 15%. • Intelligence development is conducive to improving the comprehensive rate of return. • Human capital and the competitiveness of export products are important mechanisms. [ABSTRACT FROM AUTHOR]