Credibility and computing technology
Communications of the ACM
Trust requirements in e-business
Communications of the ACM
Trust Metrics, Models and Protocols for Electronic Commerce Transactions
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
Understanding online purchase intentions: contributions from technology and trust perspectives
European Journal of Information Systems
European Journal of Information Systems - Managing e-business transformation
Trust beyond security: an expanded trust model
Communications of the ACM - Services science
Level of Internet use by Chinese businesses: A preliminary study
Electronic Commerce Research and Applications
Supporting collaborative engineering using an intelligent web service middleware
Advanced Engineering Informatics
Electronic Commerce Research and Applications
Journal of Electronic Commerce in Organizations
Intention to purchase on social commerce websites across cultures: A cross-regional study
Information and Management
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This study aims to empirically examine the trust factors that affect the adoption of Internet-based interorganizational systems (IIOS). A trust model with five trust factors is constructed. The model is tested using data gathered from 295 practitioners. Confirmatory factor analysis is used to validate the model, and structural equation modelling is used for data analysis. The adoption of IIOS is influenced by trust factors including usability, reliability and availability, audit and verification mechanisms, and interoperability, while security is insignificant in this case. The generalization of the findings is currently limited, as the subjects were all Chinese people living in Hong Kong. Future studies could study individuals belonging to other types of professions, industries, and cultures to test the generalizability of the model. The study provides a trust model to facilitate practitioners for the effective adoption of IIOS. It also adds a trust model to the literature of IIOS in the electronic supply chain context.