Purpose – The purpose of this paper is to understand customers' repurchase intentions in online shopping. This study extends the technology acceptance model (TAM) by introducing e-service quality dimensions, trust and enjoyment in the development of a theoretical model to study customers' repurchase intentions within the context of online shopping. Design/methodology/approach – Data collected from 360 PCHome online shopping customers provides strong support for the proposed research model. PLS (partial least squares, PLS-Graph version 3.0) is used to analyse the measurement and structural models. Findings – The study shows that trust, perceived ease of use, perceived usefulness and enjoyment are significant positive predictors of customers' repurchase intentions. Research limitations/implications – The data are collected from a single online shopping store – the generalisation of the model and findings to other online stores requires additional research. Our findings imply that the five dimensions of e-service quality are possibly among the most important antecedents of customers' trust in online vendors. Practical implications – Online vendors should ensure that they provide adequate utilitarian and hedonic value for customers instead of focusing on just one of these aspects in their web site development. Originality/value – Customer loyalty is critical to the online vendor's survival and success. The study provides evidence that online trust is built through order fulfilment, privacy, responsiveness and contact.

Purpose: The aim of this study is to extend DeLone and McLean's IS success model by introducing justice – fair treatments received from the exchanging party – and trust into a theoretical model for studying customers' repurchase intentions in the context of online shopping.Design/methodology/approach: The research model was tested with data from 219 of PCHome's online shopping customers using a web survey. PLS (partial least squares) was used to analyze the measurement and structural models.Findings: Data collected from 219 valid respondents provided support for all but one hypotheses (with a p‐value of less than 0.05). The unsupported hypothesis regards the relationship between service quality and satisfaction (H4). The study shows that trust, net benefits, and satisfaction are significant positive predictors of customers' repurchase intentions toward online shopping. Information quality, system quality, trust, and net benefits, are significant determinants of customer satisfaction. Besides, online trust is built through distributive, procedural, and interactional justice. Overall, the research model accounted for 79 percent of the variance of repurchase intention.Originality/value: An endeavor to extend the updated IS success model in terms of the peculiar nature of e‐commerce is needed. The study complements the updated IS success model with justice trust perspectives, considering them a more comprehensive measure of online shopping satisfaction and repurchase intention in an e‐commerce context.