Reuse Intention Factor for e-Trade Systems

Reuse Intention Factor for e-Trade Systems

Purpose: This study attempts to address the factors that influence the performance and reuse intention of an e-Trade system. As many of these innovative systems have already been in use for some time, variables explaining modifications to existing models are also considered. This study intends to present a more precise model of the innovation adoption occurring in e-Trade in Korea. Design/Dat/Methodology: To investigate the model proposed in this study, we used a structural equation model (SEM) with AMOS 20.0 software. First, we explored the factors involved through a confirmatory factor analysis (CFA). Second, we tested the measurement model using the SEM. The measurement model was used to examine construct reliability and validity, including convergent and discriminant validities. Findings: Our results provide important insight into e-Trade sites, in terms of understanding the major concerns of companies in the e-Trade context. To explore the relationships among variables, the structural equation model was used. The results show that trust influences performance, while accessibility does not. Conversely, trust has no effect on the intention to reuse e-Trade systems, while accessibility is a significant factor. Moreover, the reuse intention is strongly influenced by performance. Originality/Value: The empirical results of this analysis present managerial and academic implications. The study’s findings will indicate what has to be done to develop and extend the ongoing use of e-Trade, thereby increasing the diffusion of e-Trade systems. The study makes novel contributions to the understanding of the adoption and use of new processes for e-Trade.

Purpose: This study attempts to address the factors that influence the performance and reuse intention of an e-Trade system. As many of these innovative systems have already been in use for some time, variables explaining modifications to existing models are also considered. This study intends to present a more precise model of the innovation adoption occurring in e-Trade in Korea. Design/Dat/Methodology: To investigate the model proposed in this study, we used a structural equation model (SEM) with AMOS 20.0 software. First, we explored the factors involved through a confirmatory factor analysis (CFA). Second, we tested the measurement model using the SEM. The measurement model was used to examine construct reliability and validity, including convergent and discriminant validities. Findings: Our results provide important insight into e-Trade sites, in terms of understanding the major concerns of companies in the e-Trade context. To explore the relationships among variables, the structural equation model was used. The results show that trust influences performance, while accessibility does not. Conversely, trust has no effect on the intention to reuse e-Trade systems, while accessibility is a significant factor. Moreover, the reuse intention is strongly influenced by performance. Originality/Value: The empirical results of this analysis present managerial and academic implications. The study’s findings will indicate what has to be done to develop and extend the ongoing use of e-Trade, thereby increasing the diffusion of e-Trade systems. The study makes novel contributions to the understanding of the adoption and use of new processes for e-Trade.