The study of online consumer behavior is one of the most important research
agendas in management information systems and marketing science. However, there is
very limited knowledge about online consumer behavior because it is a complicated
social-technical phenomenon and involves too many antecedent factors. Most prior
studies in this area often offered inconsistent or even conflicted results due to using
various simple research models in order to achieve parsimony. This study aims to
overcome the drawback of previous studies and examines up to ten antecedent factors in
one research model.