This study investigated the influence of context-specific antecedents to user perceptions of technology performance using a new logistics information tracking technology designed to facilitate the linking of supply functions. Supply chain awareness, task-technology fit, and satisfaction with the existing system were evaluated as external variables likely to influence technology performance. This research examines the effect of these three constructs on technology acceptance as a function of post-adoption perceptions of technology performance. The research model was based on the original Technology Acceptance Model. Data from a mail survey were collected to evaluate 718 first-tier supply chain users’ perceptions of a new technology’s performance that includes accuracy, visibility, and efficiency. A structural equation model tested eleven hypothesized relationships. The results of this study advance understanding of technology adoption, enrich knowledge of technology innovation, and offer suggestions for enhancing user perceptions of technology performance. Implications along with suggestions for future research are provided.