Description
Campus Emergency Notification Systems (ENS) are deployed to inform and direct students when extreme events occur. Numerous schools have deployed emergency notification systems; however, student adoption of the artifact is very low. In this study, we investigate factors that drive students’ adoption building on the DeLone and McLean model of information systems (IS) success. We contribute to the emergency management and IS success theory by adding new contextually relevant constructs associated with information and system quality. Utilizing a survey we collected data from 867 participants and analyzed data using generalized structural equation modeling (GSEM). Results indicate that information timeliness and system credibility positively impact student’s adoption of emergency management systems. Our research aims to improve the adoption rate of ENS and thus save lives.
Recommended Citation
Abdelhamid, Mohamed; Howell, Pamella; and Sharman, Raj, "The Impact of Information and System Quality on Emergency Notification Systems Adoption" (2017). AMCIS 2017 Proceedings. 19.
https://aisel.aisnet.org/amcis2017/AdoptionIT/Presentations/19
The Impact of Information and System Quality on Emergency Notification Systems Adoption
Campus Emergency Notification Systems (ENS) are deployed to inform and direct students when extreme events occur. Numerous schools have deployed emergency notification systems; however, student adoption of the artifact is very low. In this study, we investigate factors that drive students’ adoption building on the DeLone and McLean model of information systems (IS) success. We contribute to the emergency management and IS success theory by adding new contextually relevant constructs associated with information and system quality. Utilizing a survey we collected data from 867 participants and analyzed data using generalized structural equation modeling (GSEM). Results indicate that information timeliness and system credibility positively impact student’s adoption of emergency management systems. Our research aims to improve the adoption rate of ENS and thus save lives.