This non-experimental, causal study related to examine and explore the relationships among electronic service quality, customer satisfaction, electronics recovery service quality, and customer loyalty for consumer electronics e-tailers. This study adopted quota and snowball sampling. A total of 121 participants completed the online survey. Out of seven hypotheses in this study, five were supported, whereas two were not supported. Findings indicated that electronic recovery service quality had positive effect on customer loyalty. However, findings indicated that electronic recovery service quality had no effect on perceived value and customer satisfaction. Findings also indicated that perceived value and customer satisfaction were two significant variables that mediated the relationships between electronic service quality and customer loyalty. Moreover, this study found that electronic service quality had no direct effect on customer satisfaction, but had indirect positive effects on customer satisfaction for consumer electronics e-tailers. In terms of practical implications, consumer electronics e-tailers' managers could formulate a competitive strategy based on the modified Electronic Customer Relationship Re-Establishment model to retain current customers and to enhance customer relationship management (CRM). The limitations and recommendations for future research were also included in this study.
This study aims to integrate perceived risk into elaboration likelihood model, develop a comprehensive research model to explain dual routes of persuasive communication through various factors affecting individual acceptance and usage of mobile shopping apps, and identify the antecedents of consumers’ perceived risk in the context of mobile shopping. Structural equation modeling is adopted to test the proposed model. Information quality has a negative effect on perceived risk (central route), while source credibility has a positive impact on perceived usefulness (peripheral route). The antecedents of perceived risk including information quality, source credibility, familiarity, and personal innovativeness which are divided into four categories: cognition-based, affect-based, experience-based, and personality-oriented. The four antecedents significantly affect consumer’s perceived risk in adopting mobile shopping apps. The results show that consumers’ perceived usefulness and perceived risk affect consumers’ behavioral intentions of mobile shopping apps adoption.
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