Building information modeling-based construction networks (BbCNs) are teams from several professional organizations working together to assume building information modeling- (BIM-) related assignments on BIM-enabled projects. With a view to achieving a better understanding of the knowledge domains on integration in BbCNs, a systematic mixed-method review of the relevant studies published from 2008 to 2018 is conducted in this study. An “integration pentagon” made up of context, process, organization, task, and actor is used as a theoretical lens to identify and construct knowledge maps describing the integration in BbCNs. The study conducts a comprehensive review upon a bibliometric analysis based on 1019 researches into BIM and a qualitative analysis of 42 carefully selected researches into integration in BbCNs. The findings confirm that the solutions provided by these researches to support integration in BbCNs are altogether technology oriented. The sociotechnical dimensions including context, organization, task, and actor show limitations. More importantly, the major academic contributions of the study lie in offering an objective and systematic analysis of previous researches, revealing the gaps on integration in BbCNs, and advising researchers in future studies regarding the integration pentagon as an all-inclusive analysis tool. These results highlight the status quo of BbCNs knowledge and serve as a dynamic platform to allow other scholars to perform further developments of integration in BbCNs.
Under the dual pressure of energy transformation and environmental protection, how to use the innovative network and enhance technical innovation (TI) are significant problems for new energy vehicle (NEV) enterprises in China. Based on the patent data of China’s NEV industry from 2001 to 2022, combined with the logical framework of “Patent Analysis—Network Evolution—Empirical research”, this study deeply discusses the influence of enterprises’ innovative network on TI. It is shown that there is an inverse U-relationship between the cooperation breadth of the enterprises, and that the appropriate cooperation breadth favors TI. At the same time, structural holes, knowledge diversity and technical value have a significant positive impact on TI. In addition, the study performs a series of robustness tests and heterogeneity checks. The conclusions are conducive to further improving the study of the relationship between innovative networks and TI, which is important both theoretically and practically for promoting the energy transformation of automotive enterprises.
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