Purpose In the fast-paced world of online retail, what turns a first-time shopper into a loyal customer? This study aims to address that question by examining how four pillars of e-service quality – website design, fulfillment, customer service and security – interact to shape customer satisfaction, stimulate electronic word-of-mouth (e-WOM) and ultimately drive repurchase intention. Design/methodology/approach A total of 425 online consumers in Jordan shared their shopping experiences through a structured survey. Structural equation modeling (SEM) was applied to untangle the direct and indirect relationships among the study variables. Findings The results reveal a dual pathway: while security holds the greatest sway over customer satisfaction, website design most strongly fuels e-WOM. Both satisfaction and e-WOM significantly boost repurchase intention and serve as vital bridges between overall e-service quality and customer loyalty. Practical implications For online retailers, the message is clear: a secure, visually appealing and easy-to-navigate website, combined with efficient order handling and attentive customer support, is not just good practice – it is a growth strategy. These elements transform casual visitors into vocal advocates and repeat buyers. Originality/value Beyond its practical implications for improving customer retention, this study offers theoretical contributions by employing a digital service quality framework tailored to e-commerce. Rather than relying on traditional models like SERVQUAL, this study uses recent literature to highlight how e-service quality shapes relationship marketing outcomes in emerging markets, thereby contributing to the development of relationship marketing theory by linking e-service quality to customer outcomes.
Building similarity graph...
Analyzing shared references across papers
Loading...
Ala' Omar Dandis
Mohammad Al Haj Eid
Rana Mohammad Shehadeh
The TQM Journal
Fujita Health University
Hashemite University
Princess Sumaya University for Technology
Building similarity graph...
Analyzing shared references across papers
Loading...
Dandis et al. (Fri,) studied this question.
www.synapsesocial.com/papers/6975b38dfeba4585c2d6ef9d — DOI: https://doi.org/10.1108/tqm-08-2025-0465