This study developed a University web-based election system and determined the factors that could predict its usability. Specifically, it aimed to understand the role of trust in web-based election system usability. Three steps of hierarchical regression analysis on the 400 data samples showed that trust towards the system was a consistent predictor of web-based election system usability. It was also shown that technical aspects (i.e., reliability, aesthetics, and user-friendliness) of web-based election design factors, though significant predictors, did not have much impact on the usability of the software. Trust had the highest beta coefficient among the three factors indicating that it contributed most in the usability of a web-based election system. Further, the predictors could capture 90% of the usability design of the system. Thus, the null hypothesis stating that web-design related factors and trust towards the software, singly or in combination, do not predict web-based election system usability is partially rejected. Recommendations were also presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.