Using Multiple linear regression model to predict The Customers’ Purchase Decision based on After-Sales Services

Abstract

The only link between the seller and the buyer is the information that available on the trading platforms about the products. All researchers in e-commerce agreed on the importance of providing information on products and services in e-commerce platforms to achieve customer satisfaction This paper aims to reveal how the availability of information on E-commerce platform about After-Sales Services can affect on customers’ purchase decisions. The study used descriptive research and the Kingdom of Saudi Arabia’s Dammam city as the study population. Also, it used the convenience random sampling approach to overcome bias in this research. The study covered all dimensions of After-Sales Services. 533 respondents completed the study questionnaire. The researcher used many statistical analyses tests before using deep learning. Furthermore, the study used hierarchical clustering and K-means to cluster consumers. The results show that respondents of this research can be clustered in three different groups based on behavior regarding demographic attributes. This study’s findings show that there is a positive relationship between the dimensions of and customers’ purchase decisions. the study presented several suggestions for platforms to keep their customers and make more profits.