Purpose The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness. Design/methodology/approach Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses. Findings The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks. Originality/value To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

The idea of green mining was proposed as a practical approach to make the mining industry more sustainable than before. Green mining is a contemporary mining model centered on the sustainability of resources, environment, and socioeconomic benefits. Its purpose is to develop and apply technologies and processes that increase environmental performance while maintaining competitiveness throughout the entire mining cycle from exploration to post-closure. Although the green mining strategy has achieved considerable significance, there is still a considerable gap between its research and practice. This study evaluates the situation of green mine construction in China and suggests a future framework. First, based on the Driver-Pressure-State-Impact-Response model, an evaluation index system composed of 20 indicators was established. The principal component analysis was used to analyze the data collected from mines situated in Yongcheng, China. The results show that the construction of green mines has improved significantly over the years. Energy consumption and pollutant emissions were minimized, the protection of the ecological environment was realized, and secondary processing of mining waste was practiced. However, there are still some unresolved problems, such as the utilization of solid waste, the recovery ratio from ore processing, and the reuse ratio of coal washing water. Thus, the strategic framework has been proposed for improving green mine construction and the sustainability of the mining industry.

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