Context-Awareness in Internet of Things - Enabled Monitoring Services

Al-Shdifat, Ali; Emmanouilidis, Christos; Starr, Andrew

doi:10.1007/978-3-030-48021-9_98

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…Studies in e-commerce application domains such as mobile payment [26], mobile/e-tourism [33,34], smartphone advertising [35], and the Internet of things (IoT) [36,37] have demonstrated how context awareness and ubiquity are instrumental in driving the adoption of these technology application systems. But when it comes to the domain of m-government diffusion studies, there is absence of adequate integration and experimentation of context awareness and ubiquity on the behavioral uptake of m-government services, especially when it comes to understanding how context awareness and ubiquity can drive the intention to use, performance expectancy, and effort expectancy of mobile government services.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Context Awareness and Ubiquity on Mobile Government Service Adoption

Mensah

Mwakapesa

2022

Mobile Information Systems

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Context awareness and mobile factor ubiquity are considered key factors when it comes to mobile technology development and diffusion. Context is vital in interactive applications particularly when the context of users changes frequently and rapidly in the environment of handheld-mobile and ubiquitous technology systems. The understanding of the context and ubiquity in the development and diffusion of mobile government can influence the delivery of efficient public services. Mobile context-aware computing systems can respond to the changes in the environment in an intelligent way to provide a better consumer experience for users. This study explored the impact of context awareness and mobile factor ubiquity on the adoption of mobile government services. The framework of this study was based on the unified theory of acceptance and use of technology (UTAUT). The structural equation model (SEM) with SmartPLS 3.0 was used to conduct the data analysis. The analysis which was based on the 366 samples generated has shown that while context awareness was not significant in determining both the performance and intention to use, it was however significant in determining the effort expectancy of mobile government services. Also, mobile factor ubiquity was found to be a positive predictor of effort expectancy, intention to use, and context awareness. However, the mobile factor ubiquity does not determine the performance expectancy of mobile government services. The implications (managerial and theoretical) of these and other result findings of the study are discussed.

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