The effects of trust on behavioral intention and use behavior within e-government contexts

As electronic transactions between governments and users become increasingly common, the role of users’ trust in e-government assumes considerable importance. While prior models of technology acceptance have identified several factors that influence behavioral intention and use behavior, trust has largely been missing in such models. This study incorporates e-government trust into the unified theory of acceptance and use of technology (UTAUT) model and conducts an empirical analysis using meta-analytic structural equation modeling (MASEM) methods on findings gathered from 90 prior studies on e-government. Results show that trust plays a central role in users’ intention to use and use of e-government systems. Specifically, in e-government contexts, trust is impacted by performance expectancy, effort expectancy, social influence, and facilitating conditions; has a direct effect on system use; and an indirect effect on system use through behavioral intention. Practitioners should strive to leverage users’ trust to leverage the full potential of e-government systems. • Performance and effort expectancy impact e-government trust and behavioral intention. • Social influence impacts e-government trust and behavioral intention. • Facilitating conditions impact e-government trust, behavioral intention, and use behavior. • E-government trust has direct effects on behavioral intention and use behavior.