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.
Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses.
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.
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 authors thank the Editors Zahir Irani, Muhammad Mustafa Kamal and all the anonymous reviewers for their insightful and constructive comments. In addition, the authors particularly thank Ms Yaxin Zhao, a master student of business school at Central University of Finance and Economics, for her constructive comments to this paper.
Funding: The research was supported by the National Natural Science Foundation of China (No. 71902007), Beijing Natural Science Foundation (No. 9204022), Beijing Social Science Foundation (No. 19GLC075), National Social Science Foundation of China (No. 21AZD015), and the 2020 Education and Teaching Reform Project of Central University of Finance and Economics (No. 2020ZXJG12).
Lu, Q., Chen, J., Song, H. and Zhou, X. (2021), "Effects of cloud computing assimilation on supply chain financing risks of SMEs", Journal of Enterprise Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEIM-11-2020-0461
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