Understanding customers' satisfaction and repurchase intentions
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The study shows that trust, net benefits, and satisfaction are significant positive predictors of customers' repurchase intentions toward online shopping.
Abstract
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.
