Academic Journal of Computing & Information Science, 2023, 6(1); doi: 10.25236/AJCIS.2023.060105.
Min Liang, Minjing Peng
School of Economics & Management, Wuyi University, Jiangmen, China
With the advent of the era of big data, data analysis and cloud computing have become important tools for analysis and prediction. With the rapid development of the Internet, Guangdong Province, as a big province opening to the outside world, the analysis and prediction of cross-border e-commerce based on the grey model is an important way and basis to improve the business in Guangdong Province. Firstly, the important factor is calculated from affecting scale factors cross-border e-commerce by the grey correlation degree. Further, based on the factor, a grey prediction model is established to predict the cross-border e-commerce development in Guangdong Province. The results show that the local financial allocation for science and technology is an important factor affecting cross-border e-commerce development in Guangdong Province. Moreover, the grey prediction model with a relative error of 8.2% proves that the impact will continue to grow in the future.
cross-border e-commerce, grey correlation degree, grey prediction, data analysis
Min Liang, Minjing Peng. Analysis and Forecast of Cross-border E-commerce Scale in Guangdong Province Based on Grey Model. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 1: 26-31. https://doi.org/10.25236/AJCIS.2023.060105.
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