Effects of Context Relevance and Perceived Risk on User Acceptance of Mobile Information Services
2005
- 848Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage848
- Downloads461
- Abstract Views387
Article Description
Mobile information services differ from traditional, office information systems in their focus on entertainment value, their ability to be exposed to shifting social contexts, and the increased reliance of people (especially teenagers) on mobile telephones as important parts of their lives. This paper introduces a user acceptance model that addresses each of these differences: it includes hedonic value, context relevance, and perceived risk as major drivers of user acceptance. Our empirical research was conducted entirely online with the ‘context’ operating as an experimental treatment, and the other constructs measured using an online survey instrument. The research (N = 123) confirms that a consumer’s utilitarian value and hedonic value of a mobile information service are strongly correlated. Further, utilitarian value had a significant impact on intentions to use a service, whereas hedonic value had no such impact. There was a significant negative influence of perceived risk on utilitarian value, implying that those who considered the service to be a greater risk also perceived it to be less useful. There was no significant influence of perceived risk on hedonic value. Finally, a change in context caused a significant change in utilitarian value, implying that people exposed to more relevant contexts found the service more useful than the people with less relevant contexts.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know