With the advent of the post-epidemic era, O2O e-commerce on community breaks through the original business model and forms a new online-to-offline integrated business model. This study is based on the value co-creation perspective and the TAM-TPB theory systematically builds a theoretical model of consumers’ continuous use intention of O2O e-commerce on the community. A structural equation model (SEM) was used to verify the research hypotheses. The research results were as follows: (1) the subjective norms and structural assurance in social factors have a positive impact on consumers’ continuous use intention; (2) the degree of convenience and safety in platform factors not only positively affect customer satisfaction but also positively affect customers’ continuous use intension, and customer satisfaction mediates between platform factors and customers’ continuous use intension; (3) customer–enterprise co-creation has a positive impact on customer perceived value, and customer perceived value plays a mediating role between customer–enterprise co-creation behavior and consumers’ willingness to continue using; (4) customer perceived value and customer satisfaction in the user factor have a significant impact on consumers’ continuous use intention.

With the digital development of the construction industry, a new competence model of CPM (construction project manager) to meet the new requirements is highly needed. However, there is still a paucity of research on CPM competences in the new era, and no new CPM competence model has been constructed. To address this problem, this study uses data mining method to collect 2387 big data of recruitment advertisement in the Chinese construction market between August 2020 and October 2021 to construct a competence model of CPM in the digital era, which is called the Diamond model. The Diamond model consists of nine key competences, among which digital capability is a newly emerging one. The digital capability for CPMs is identified and classified into three levels, i.e., technology, knowledge and management. The requirements from the industry for the digital capability of CPM are mostly at the technology and knowledge levels. The results of the study provide a clear reference for both the demand and supply sides of CPM talents. Based on this, construction enterprises can formulate more accurate recruitment strategies, practitioners can dynamically benchmark themselves to the ever-changing industry needs and education, and training parties can better bridge the talent gap. Furthermore, the introduction of digital capability into the CPM competence system also provides a solid departure point for further follow-up research.

Innovation is the powerful headspring that makes the economy and society continue with sustainable development, and how to innovate is a current research issue all over the world. The purposes of this research are to examine Chinese-style innovations and to analyze the influence of Chinese-style innovation on the international market in the current economic times. From multiple perspectives of institutional innovation as well as scientific and technological innovation, the content, characteristics and connotation of Chinese-style innovation are comprehensively expounded and analyzed through the collection, combination and exploration of innovation, especially in Chinese-style innovation literature and interviews with relevant scholars, experts and enterprises. Then, the fit of Chinese-style innovation and characteristics of the new economic era are systematically described. Based on the exploration of international repercussions of Chinese-style innovation from both macro and micro aspects, the mechanism of Chinese-style innovation’s influence on China’s international market is also analyzed. In China, the underlying concept has not been well investigated before, therefore there is a gap in which to do research in this area. In accordance with the current research, a conceptual model for the new economic era, Chinese-style innovation and China’s international repercussions is established. This study finds that the influence of Chinese companies in research and development has significantly improved, the all-round and multi-domain pattern of Chinese enterprises’ overseas development has gradually taken shape, Chinese companies’ overseas social responsibility is growing, the overseas competitiveness of Chinese companies has gradually increased, the overall strength of China’s science and technology has gradually gained international recognition and its international repercussions have improved significantly.

In recent years, China’s electronics and communication equipment manufacturing (ECEM) industry has overgrown, and the government should assess the innovation performance of the industry for its sustainable development. However, most previous studies on the innovation efficiency of the ECEM industry have ignored the link and carry-over variables. This paper uses the number of patent applications as a link variable to consider the stage of innovation activities. It divides the innovation activities of the electronics industry into two stages: technology development and results in transformation. To consider the dynamics of innovation activities, this paper uses capital stock as a period carry-over variable and evaluates the change of innovation efficiency over time. In this paper, the DNSBM model is used to measure the innovation efficiency of the ECEM industry in 26 Chinese provinces from 2013–2019. This model includes both stage link variables and period carry-over variables, thus allowing for overall efficiency and stage efficiency and period efficiency. The results show that the overall innovation efficiency values in the Chinese ECEM industry are low, there are considerable differences between the two-stage efficiency values in the east, central and western regions, and the overall efficiency values show a slow upward trend.

The application of Building Information Modeling (BIM) in fire protection discipline has been sufficiently proved to be useful, but has encountered many barriers in China. Among which, small‐ and medium‐sized enterprises (SMEs), which are considered sensitive to adoption costs and external funding support, play a critical role in the BIM adoption process in fire protection discipline. Therefore, identifying and analyzing the barriers of BIM application are essential to help small‐ and medium‐sized fire protection enterprises to overcome these barriers. In this study, semantic analysis, which includes word frequency analysis and coword analysis, based on literature review was utilized to identify the main barriers. 20 main barriers, which were classified into software, people, organization, and environment group, were obtained. Then, Interpretive Structural Modelling (ISM) approach and Cross‐Impact Matrix Multiplication Applied to Classification (MICMAC) analysis were utilized to hierarchically analyze and categorize the main barriers of BIM application in Chinese SMFEs. The findings revealed that the lack of external support and the lack of BIM laws and regulations applicable to fire protection discipline are the key barriers in general for the application of BIM in SMFEs. For the barriers at the enterprise level, through further analysis and discussion based on barriers in the people and organization clusters, the lack of funding support for proper BIM training and the lack of organization culture support were concluded as the key barriers of BIM application inside the scope of SMFEs. According to 80‐20 principle, more effort should be focused on the key barriers to gain maximum management effect. The research result categorizes the barriers for easy intervention of fire protection enterprises’ managers and policymakers. It contributes to the nascent studies of BIM application and provides guidance for the application of BIM in fire protection discipline.

One of the central aspects of science is systematic problem-solving. Therefore, problem and solution statements are an integral component of the scientific discourse. The scientific analysis would be more successful if the problem–solution claims in scientific texts were automatically classified. It would help in knowledge mining, idea generation, and information classification from scientific texts. It would also help to compare scientific papers and automatically generate review articles in a given field. However, computational research on problem–solution patterns has been scarce. The linguistic analysis, instructional-design research, theory, and empirical methods have not paid enough attention to the study of problem–solution patterns. This paper tries to solve this issue by applying the computational techniques of machine learning classifiers and neural networks to a set of features to intelligently classify a problem phrase from a non-problem phrase and a solution phrase from a non-solution phrase. Our analysis shows that deep learning networks outperform machine learning classifiers. Our best model was able to classify a problem phrase from a non-problem phrase with an accuracy of 90.0% and a solution phrase from a non-solution phrase with an accuracy of 86.0%.