| Title |
Factors Influencing Continuance Usage of Smart City Apps: A Mixed Study Based on Behavioral Reasoning Theory |
| ID_Doc |
36173 |
| Authors |
Wu, SY; Wang, RZ; Zhang, Q; Zhang, XZ; Wu, DY; Peng, GC |
| Title |
Factors Influencing Continuance Usage of Smart City Apps: A Mixed Study Based on Behavioral Reasoning Theory |
| Year |
2024 |
| Published |
|
| DOI |
10.1007/978-3-031-59988-0_21 |
| Abstract |
The continuous usage behavior of Smart City App users is pivotal to the success of smart technologies and the realization of smart cities. A mixed-method was used to construct a theoretical model of users' continuous usage behavior of Smart City App based on qualitative findings, and an extended model of continuous use of Smart City App users was constructed and the model was empirically investigated through questionnaires. The findings underscore the applicability of behavioral reasoning theory in elucidating the inherent mechanisms underlying users' sustained engagement with the Smart City App. The behavioral rationality (adoption/rejection) of users jointly contributes to the intention of continuous use of Smart City App users. Among them, referent network size and perceived government support constitute the main reasons for users to adopt Smart City App. However, usage barriers, tradition barriers, and value barriers are important reasons for users to reject Smart City App. This study not only expands the purview of behavioral reasoning theory and bridges the divide with traditional frameworks in examining users' continuous usage patterns but also sheds light on the challenges and motivational factors users encounter in navigating the Smart City App. The insights gained offer valuable guidance to app developers and managers in enhancing user engagement and fostering the app's overall success. |
| Author Keywords |
Smart City App; Continuance Usage Intention; Behavioral Reasoning Theory; Innovation Resistance Theory; Mixed-method |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001288610200021 |
| WoS Category |
Computer Science, Cybernetics |
| Research Area |
Computer Science |
| PDF |
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