  This study aims at predicting the impact of e-commerce indicators on
international trade of the selected OECD countries and Iran, by using the
artificial intelligence approach and P-VAR. According to the nature of export,
import, GDP, and ICT functions, and the characteristics of nonlinearity, this
analysis is performed by using the MPL neural network. The export, import, GDP,
and ICT findings were examined with 99 percent accuracy. Using the P-VAR model
in the Eviews software, the initial database and predicted data were applied to
estimate the impact of e-commerce on international trade. The findings from
analyzing the data show that there is a bilateral correlation between
e-commerce which means that ICT and international trade affect each other and
the Goodness of fit of the studied model is confirmed.
