Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/287516 
Erscheinungsjahr: 
2021
Quellenangabe: 
[Journal:] Business & Information Systems Engineering [ISSN:] 1867-0202 [Volume:] 64 [Issue:] 2 [Publisher:] Springer Fachmedien Wiesbaden [Place:] Wiesbaden [Year:] 2021 [Pages:] 167-182
Verlag: 
Springer Fachmedien Wiesbaden, Wiesbaden
Zusammenfassung: 
Mobile emergency warning apps are essential for effective emergency communication – of course, provided the population intends to use them. Drawing on protection motivation theory, the study validated a psychometric model to explain what motivates individuals to install a warning app for the first time and to keep using it over time. Multi-group covariance-based structural equation modeling was used to model the answers to a survey that measured the drivers of intention to begin using or intention to continue using a warning app. The model shows that, for both non-users and users, trust, social influence, and response efficacy positively and maladaptive rewards negatively affect intention to use and intention to continue use warning apps. However, perceived vulnerability influences only intention to use, whereas response cost and self-efficacy affect continued use intention. Hence, this study enhances the theoretical understanding of technology-enabled protection behaviors and provides practitioners with a list of factors to consider for pushing the adoption and continued use of emergency warning applications.
Schlagwörter: 
Protection motivation theory
Emergency notification
Disaster
Warning app
Use intention
Continuance
Multi-group analysis
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Dokumentversion: 
Published Version

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