In this study, we developed a framework for e-commerce business models based on twelve essential business components. Data was collected for 250 of the Fortune 500 companies using the twelve components as determinants. Statistical analysis of the data was performed using Kcluster, hierarchical cluster, and discriminant analysis. The results of the data analysis yielded e-commerce business models as clusters grouped together based on the similar characteristics of their components. The following clusters were detected: e-shopping model, store front model, image building model, access charge model, and third-party marketplace model. The research supported the arguments made by some researchers that a combination of the traditional bricks and mortar model combined with a web interface reduces costs and allows businesses to provide better value to customers.