Investigating the determinants of continuance intention on cloud ERP systems adoption

Abstract

With the rapid developments in cloud technology, the cloud Enterprise Resource Planning (ERP) system is indispensable when investigating the adoption and implementation of manufacturing systems among industries. The cloud ERP system can support manufacturing systems through various cloud services. The study was based on the well-known Information Systems Success Model (ISSM) to explore the predictive power of these theory-based variables. Our research provides an integrated managerial model to predict the continuance intention of adopting the cloud ERP system to enable effective manufacturing. The paper employed Structural Equation Model (SEM) to verify and confirm the hypotheses from an online survey in Taiwan. The empirical results have confirmed that (1) self-efficacy and convenience positively predict perceived ease of use; (2) information quality, system quality, service quality, perceived price, and perceived ease of use positively predict satisfaction; perceived security has no significant effect on satisfaction; (3) perceived ease of use, perceived security and satisfaction positively predict continuance intention. This study’s analysis results thus provide a suitable integrated framework to predict continuance intention. Finally, our research provides practical and managerial recommendations for manufacturing industries of adopting the cloud ERP system.